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Franki Speleman

Franki Speleman

Ghent University
Belgium

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Genetics
Belgium
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 108 558 531 5 5 664 67898

Franki Speleman publications per year

The chart shows the history of publications by Franki Speleman between 1989 and 2021, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Franki Speleman published across 33 years, from 1989 to 2021, averaging 21.3 papers a year. Output peaked at 48 publications in 2009. 28 of the 704 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1989 to 2021. Vertical axis: number of publications, 0 to 48. Peak 48 publications in 2009. 1989: 5 publications 1990: 3 publications 1991: 16 publications 1992: 13 publications 1993: 6 publications 1994: 14 publications 1995: 14 publications 1996: 10 publications 1997: 15 publications 1998: 19 publications 1999: 17 publications 2000: 12 publications 2001: 14 publications 2002: 14 publications 2003: 17 publications 2004: 15 publications 2005: 29 publications 2006: 31 publications 2007: 35 publications 2008: 37 publications 2009: 48 publications 2010: 32 publications 2011: 38 publications 2012: 24 publications 2013: 28 publications 2014: 39 publications 2015: 31 publications 2016: 29 publications 2017: 22 publications 2018: 30 publications 2019: 19 publications 2020: 13 publications 2021: 15 publications
1989 2021

704 publications in total across all disciplines

View publications per year as a table
Franki Speleman: publications per year, 1989 to 2021
Year Publications
1989 5
1990 3
1991 16
1992 13
1993 6
1994 14
1995 14
1996 10
1997 15
1998 19
1999 17
2000 12
2001 14
2002 14
2003 17
2004 15
2005 29
2006 31
2007 35
2008 37
2009 48
2010 32
2011 38
2012 24
2013 28
2014 39
2015 31
2016 29
2017 22
2018 30
2019 19
2020 13
2021 15
Total 704
Download as CSV

Franki Speleman publication distribution in Genetics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Genetics in 2026. The highlighted bar marks where Franki Speleman sits on this spectrum.

No. of scientists
50 100 150 200
Bar chart with 67 bars. Horizontal axis: publications, 45–54 to 703+. Vertical axis: number of scientists, 0 to 217. Most scientists, 217, have 125–134 publications. The last bar groups every scientist with 703 publications or more. The highlighted bar, 655–664 publications, is where this scientist sits. 45–54 publications: 6 scientists 55–64 publications: 10 scientists 65–74 publications: 35 scientists 75–84 publications: 84 scientists 85–94 publications: 102 scientists 95–104 publications: 151 scientists 105–114 publications: 175 scientists 115–124 publications: 203 scientists 125–134 publications: 217 scientists 135–144 publications: 205 scientists 145–154 publications: 193 scientists 155–164 publications: 188 scientists 165–174 publications: 170 scientists 175–184 publications: 178 scientists 185–194 publications: 164 scientists 195–204 publications: 173 scientists 205–214 publications: 159 scientists 215–224 publications: 134 scientists 225–234 publications: 143 scientists 235–244 publications: 105 scientists 245–254 publications: 114 scientists 255–264 publications: 92 scientists 265–274 publications: 88 scientists 275–284 publications: 87 scientists 285–294 publications: 80 scientists 295–304 publications: 62 scientists 305–314 publications: 75 scientists 315–324 publications: 67 scientists 325–334 publications: 60 scientists 335–344 publications: 52 scientists 345–354 publications: 40 scientists 355–364 publications: 48 scientists 365–374 publications: 47 scientists 375–384 publications: 46 scientists 385–394 publications: 31 scientists 395–404 publications: 27 scientists 405–414 publications: 40 scientists 415–424 publications: 30 scientists 425–434 publications: 43 scientists 435–444 publications: 29 scientists 445–454 publications: 14 scientists 455–464 publications: 28 scientists 465–474 publications: 21 scientists 475–484 publications: 21 scientists 485–494 publications: 22 scientists 495–504 publications: 17 scientists 505–514 publications: 12 scientists 515–524 publications: 11 scientists 525–534 publications: 8 scientists 535–544 publications: 8 scientists 545–554 publications: 14 scientists 555–564 publications: 4 scientists 565–574 publications: 11 scientists 575–584 publications: 5 scientists 585–594 publications: 11 scientists 595–604 publications: 12 scientists 605–614 publications: 7 scientists 615–624 publications: 6 scientists 625–634 publications: 10 scientists 635–644 publications: 9 scientists 645–654 publications: 10 scientists 655–664 publications: 6 scientists 665–674 publications: 6 scientists 675–684 publications: 6 scientists 685–694 publications: 4 scientists 695–702 publications: 6 scientists 703+ publications: 100 scientists
45–54 publications 703+

This scientist: 664 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 703 publications or more.

View publications distribution as a table
Number of Genetics scientists by publication count, Research.com 2026 ranking edition. Based on 4,342 ranked scientists.
Publications Scientists This scientist
45–54 6
55–64 10
65–74 35
75–84 84
85–94 102
95–104 151
105–114 175
115–124 203
125–134 217
135–144 205
145–154 193
155–164 188
165–174 170
175–184 178
185–194 164
195–204 173
205–214 159
215–224 134
225–234 143
235–244 105
245–254 114
255–264 92
265–274 88
275–284 87
285–294 80
295–304 62
305–314 75
315–324 67
325–334 60
335–344 52
345–354 40
355–364 48
365–374 47
375–384 46
385–394 31
395–404 27
405–414 40
415–424 30
425–434 43
435–444 29
445–454 14
455–464 28
465–474 21
475–484 21
485–494 22
495–504 17
505–514 12
515–524 11
525–534 8
535–544 8
545–554 14
555–564 4
565–574 11
575–584 5
585–594 11
595–604 12
605–614 7
615–624 6
625–634 10
635–644 9
645–654 10
655–664 6 664
665–674 6
675–684 6
685–694 4
695–702 6
703+ 100
Download as CSV

Franki Speleman D-index placement in Genetics in 2026

The chart shows the D-index (discipline H-index) distribution of Genetics scientists ranked by Research.com in 2026. The highlighted bar marks where Franki Speleman sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 61 bars. Horizontal axis: D-Index, 40–41 to 160+. Vertical axis: number of scientists, 0 to 191. Most scientists, 191, have 62–63 D-Index. The last bar groups every scientist with 160 D-Index or more. The highlighted bar, 108–109 D-Index, is where this scientist sits. 40–41 D-Index: 24 scientists 42–43 D-Index: 52 scientists 44–45 D-Index: 84 scientists 46–47 D-Index: 112 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 141 scientists 52–53 D-Index: 143 scientists 54–55 D-Index: 145 scientists 56–57 D-Index: 179 scientists 58–59 D-Index: 162 scientists 60–61 D-Index: 175 scientists 62–63 D-Index: 191 scientists 64–65 D-Index: 172 scientists 66–67 D-Index: 184 scientists 68–69 D-Index: 164 scientists 70–71 D-Index: 158 scientists 72–73 D-Index: 150 scientists 74–75 D-Index: 136 scientists 76–77 D-Index: 127 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 111 scientists 82–83 D-Index: 110 scientists 84–85 D-Index: 110 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 102 scientists 90–91 D-Index: 66 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 70 scientists 96–97 D-Index: 54 scientists 98–99 D-Index: 60 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 55 scientists 104–105 D-Index: 45 scientists 106–107 D-Index: 42 scientists 108–109 D-Index: 28 scientists 110–111 D-Index: 39 scientists 112–113 D-Index: 25 scientists 114–115 D-Index: 31 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 34 scientists 120–121 D-Index: 29 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 27 scientists 128–129 D-Index: 22 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 11 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 21 scientists 140–141 D-Index: 4 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 14 scientists 146–147 D-Index: 6 scientists 148–149 D-Index: 10 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 9 scientists 154–155 D-Index: 8 scientists 156–157 D-Index: 8 scientists 158–159 D-Index: 9 scientists 160+ D-Index: 96 scientists
40–41 D-Index 160+

This scientist: 108 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 160 D-Index or more.

View D-Index distribution as a table
Number of Genetics scientists by D-index, Research.com 2026 ranking edition. Based on 4,342 ranked scientists.
D-Index Scientists This scientist
40–41 24
42–43 52
44–45 84
46–47 112
48–49 118
50–51 141
52–53 143
54–55 145
56–57 179
58–59 162
60–61 175
62–63 191
64–65 172
66–67 184
68–69 164
70–71 158
72–73 150
74–75 136
76–77 127
78–79 127
80–81 111
82–83 110
84–85 110
86–87 84
88–89 102
90–91 66
92–93 72
94–95 70
96–97 54
98–99 60
100–101 49
102–103 55
104–105 45
106–107 42
108–109 28 108
110–111 39
112–113 25
114–115 31
116–117 29
118–119 34
120–121 29
122–123 29
124–125 18
126–127 27
128–129 22
130–131 16
132–133 11
134–135 17
136–137 12
138–139 21
140–141 4
142–143 9
144–145 14
146–147 6
148–149 10
150–151 7
152–153 9
154–155 8
156–157 8
158–159 9
160+ 96
Download as CSV

Research.com Recognitions

  • 2026 - Research.com Genetics in Belgium Leader Award
  • 2025 - Research.com Genetics in Belgium Leader Award
  • 2024 - Research.com Genetics in Belgium Leader Award
  • 2023 - Research.com Genetics in Belgium Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Cancer
  • DNA

Franki Speleman mostly deals with Genetics, Cancer research, Neuroblastoma, Gene and Molecular biology. His Cancer research research is multidisciplinary, relying on both Carcinogenesis, microRNA, Chromosomal rearrangement and Immunology. His research in Neuroblastoma intersects with topics in Oncology, Pathology, Internal medicine, Survival analysis and Loss of heterozygosity.

His research investigates the connection between Molecular biology and topics such as Regulation of gene expression that intersect with problems in Transcriptome. Franki Speleman has included themes like Microarray analysis techniques, Real-time polymerase chain reaction and Computational biology in his Gene expression profiling study. His studies in Microarray analysis techniques integrate themes in fields like Housekeeping gene and Proportional hazards model.

His most cited work include:

  • Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes (14653 citations)
  • qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data (2808 citations)
  • Gain of chromosome arm 17q and adverse outcome in patients with neuroblastoma (409 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Cancer research, Genetics, Neuroblastoma, Gene and Molecular biology. His work investigates the relationship between Cancer research and topics such as microRNA that intersect with problems in Gene silencing. His studies examine the connections between Neuroblastoma and genetics, as well as such issues in Pathology, with regards to Internal medicine.

The concepts of his Gene study are interwoven with issues in Computational biology and Cell biology. His study looks at the relationship between Molecular biology and fields such as Cytogenetics, as well as how they intersect with chemical problems. Franki Speleman has researched Gene expression in several fields, including RNA and Real-time polymerase chain reaction.

He most often published in these fields:

  • Cancer research (30.84%)
  • Genetics (29.67%)
  • Neuroblastoma (28.74%)

What were the highlights of his more recent work (between 2015-2021)?

  • Cancer research (30.84%)
  • Neuroblastoma (28.74%)
  • Cell biology (8.64%)

In recent papers he was focusing on the following fields of study:

Franki Speleman focuses on Cancer research, Neuroblastoma, Cell biology, Gene and Computational biology. His Cancer research research is multidisciplinary, incorporating perspectives in Genetics, Leukemia, Signal transduction, Gene knockdown and Non invasive. Franki Speleman is interested in Long non-coding RNA, which is a branch of Genetics.

His Neuroblastoma study combines topics in areas such as Phenotype, Circulating Cell-Free DNA, Downregulation and upregulation, FOXM1 and Epigenetics. His research on Gene frequently connects to adjacent areas such as Cell growth. His Computational biology course of study focuses on Zebrafish and Real-time polymerase chain reaction.

Between 2015 and 2021, his most popular works were:

  • A mechanistic classification of clinical phenotypes in neuroblastoma (74 citations)
  • Shallow Whole Genome Sequencing on Circulating Cell-Free DNA Allows Reliable Noninvasive Copy-Number Profiling in Neuroblastoma Patients (55 citations)
  • Long noncoding RNA expression profiling in cancer: Challenges and opportunities. (54 citations)

In his most recent research, the most cited papers focused on:

  • Gene
  • Cancer
  • DNA

His scientific interests lie mostly in Cancer research, Neuroblastoma, Gene, microRNA and RNA. His Cancer research research integrates issues from Molecular biology, Stem cell, N-Myc, FOXM1 and Leukemia. His Neuroblastoma study integrates concerns from other disciplines, such as Viability assay, Regulation of gene expression and Pharmacology.

His study ties his expertise on Computational biology together with the subject of Gene. The Computational biology study combines topics in areas such as Three prime untranslated region, Real-time polymerase chain reaction, Zebrafish and Gene expression profiling. MicroRNA is a subfield of Genetics that Franki Speleman investigates.

Best Publications

  • Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes

    Jo Vandesompele;Katleen De Preter;Filip Pattyn;Bruce Poppe

  • qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data

    Jan Hellemans;Geert Mortier;Anne De Paepe;Franki Speleman

  • miR-9, a MYC/MYCN-activated microRNA, regulates E-cadherin and cancer metastasis

    Li Ma;Jennifer Young;Harsha Prabhala;Elizabeth Pan

  • Identification of ALK as a major familial neuroblastoma predisposition gene

    Yaël P. Mossé;Marci Laudenslager;Luca Longo;Kristina A. Cole

  • A novel and universal method for microRNA RT-qPCR data normalization

    Pieter Mestdagh;Pieter Van Vlierberghe;An-Sofie De Weer;Daniel Muth

  • Loss-of-function mutations in FGFR1 cause autosomal dominant Kallmann syndrome.

    Catherine Dodé;Jacqueline Levilliers;Jean-Michel Dupont;Anne De Paepe

  • Recurrent Rearrangements of Chromosome 1q21.1 and Variable Pediatric Phenotypes

    Heather C Mefford;Andrew J Sharp;Carl Baker;Andy Itsara

  • Gain of chromosome arm 17q and adverse outcome in patients with neuroblastoma

    N Bown;S Cotterill;M Lastowska;S O'Neill

  • RNA G-quadruplexes cause eIF4A-dependent oncogene translation in cancer

    Andrew L Wolfe;Kamini Singh;Yi Zhong;Philipp Drewe

  • Exhaustive mutation analysis of the NF1 gene allows identification of 95% of mutations and reveals a high frequency of unusual splicing defects.

    Ludwine M. Messiaen;Tom Callens;Geert Mortier;Diane Beysen

  • Genome dynamics of the human embryonic kidney 293 lineage in response to cell biology manipulations.

    Yao-Cheng Lin;Morgane Boone;Leander Meuris;Irma Lemmens

  • EWS and ATF-1 gene fusion induced by t(12;22) translocation in malignant melanoma of soft parts

    Jessica Zucman;Olivier Delattre;Chantal Desmaze;Alan L. Epstein

  • Loss-of-function mutations in LEMD3 result in osteopoikilosis, Buschke-Ollendorff syndrome and melorheostosis.

    Jan Hellemans;Olena Preobrazhenska;Andy Willaert;Philippe Debeer

  • International consensus for neuroblastoma molecular diagnostics: report from the International Neuroblastoma Risk Group (INRG) Biology Committee.

    PF Ambros;IM Ambros;GM Brodeur;M Haber

  • LIN28B induces neuroblastoma and enhances MYCN levels via let-7 suppression

    Jan J Molenaar;Raquel Domingo-Fernández;Marli E Ebus;Sven Lindner

  • Emerging patterns of cryptic chromosomal imbalance in patients with idiopathic mental retardation and multiple congenital anomalies: a new series of 140 patients and review of published reports

    B. Menten;N. Maas;B. Thienpont;K. Buysse

  • Overall Genomic Pattern Is a Predictor of Outcome in Neuroblastoma

    Isabelle Janoueix-Lerosey;Gudrun Schleiermacher;Evi Michels;Véronique Mosseri

  • High-throughput stem-loop RT-qPCR miRNA expression profiling using minute amounts of input RNA

    Pieter Mestdagh;Tom Feys;Nathalie Bernard;Simone Guenther

  • The miR-17-92 MicroRNA Cluster Regulates Multiple Components of the TGF-β Pathway in Neuroblastoma

    Pieter Mestdagh;Anna-Karin Bostrom;Francis Impens;Erik Fredlund;Erik Fredlund

  • Mutational dynamics between primary and relapse neuroblastomas

    Alexander Schramm;Johannes Köster;Johannes Köster;Yassen Assenov;Kristina Althoff

Frequent Co-Authors

Jo Vandesompele
Jo Vandesompele Ghent University
Katleen De Preter
Katleen De Preter Ghent University
Nadine Van Roy
Nadine Van Roy Ghent University
Anne De Paepe
Anne De Paepe Ghent University Hospital
Bruce Poppe
Bruce Poppe Ghent University Hospital
Genevieve Laureys
Genevieve Laureys Ghent University Hospital
Pieter Mestdagh
Pieter Mestdagh Ghent University
Björn Menten
Björn Menten Ghent University Hospital
Johannes H. Schulte
Johannes H. Schulte Charité - University Medicine Berlin
Rogier Versteeg
Rogier Versteeg University of Amsterdam

External Links

Personal website of Franki Speleman

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Related Online Degrees & Career Pathways

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Taking the next step, a online nurse practitioner program can prepare you for advanced practice roles in specialty areas, including genetics counseling or clinical research. For those eager to lead in healthcare systems, the best dnp programs online emphasize evidence-based practice and organizational leadership.

Many professionals begin their journey with a online nursing degree, making it a widely accessible entry point into healthcare and research careers. No matter which online pathway you choose, integrating genetics knowledge with a nursing background can provide a competitive advantage in the rapidly evolving world of healthcare.

Best Scientists Citing Franki Speleman

Jo Vandesompele

Jo Vandesompele

Ghent University

Publications: 140

John M. Maris

John M. Maris

Children's Hospital of Philadelphia

Publications: 112

Johannes H. Schulte

Johannes H. Schulte

Charité - University Medicine Berlin

Publications: 82

Raymond L. Stallings

Raymond L. Stallings

Royal College of Surgeons in Ireland

Publications: 76

Matthias Fischer

Matthias Fischer

University of Cologne

Publications: 66

Rogier Versteeg

Rogier Versteeg

University of Amsterdam

Publications: 64

Pieter Mestdagh

Pieter Mestdagh

Ghent University

Publications: 61

Olivier Delattre

Olivier Delattre

PSL University

Publications: 54

Peter F. Ambros

Peter F. Ambros

St Anna Children's Hospital

Publications: 54

Frank Berthold

Frank Berthold

University of Cologne

Publications: 53

Joris Vermeesch

Joris Vermeesch

KU Leuven

Publications: 52

Katleen De Preter

Katleen De Preter

Ghent University

Publications: 52

Susan L. Cohn

Susan L. Cohn

University of Chicago

Publications: 51

Nadine Van Roy

Nadine Van Roy

Ghent University

Publications: 51

Björn Menten

Björn Menten

Ghent University Hospital

Publications: 50

Helgi B. Schiöth

Helgi B. Schiöth

Uppsala University

Publications: 49

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