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Len A. Pennacchio

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 106 595 566 297 281 241 52305

Len A. Pennacchio publications per year

The chart shows the history of publications by Len A. Pennacchio between 1995 and 2021, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Len A. Pennacchio published across 27 years, from 1995 to 2021, averaging 9 papers a year. Output peaked at 20 publications in 2004. 23 of the 242 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1995 to 2021. Vertical axis: number of publications, 0 to 20. Peak 20 publications in 2004. 1995: 1 publication 1996: 3 publications 1997: 3 publications 1998: 2 publications 1999: 1 publication 2000: 0 publications 2001: 3 publications 2002: 5 publications 2003: 13 publications 2004: 20 publications 2005: 15 publications 2006: 9 publications 2007: 17 publications 2008: 16 publications 2009: 14 publications 2010: 9 publications 2011: 12 publications 2012: 10 publications 2013: 14 publications 2014: 11 publications 2015: 7 publications 2016: 10 publications 2017: 10 publications 2018: 7 publications 2019: 7 publications 2020: 12 publications 2021: 11 publications
1995 2021

242 publications in total across all disciplines

View publications per year as a table
Len A. Pennacchio: publications per year, 1995 to 2021
Year Publications
1995 1
1996 3
1997 3
1998 2
1999 1
2000 0
2001 3
2002 5
2003 13
2004 20
2005 15
2006 9
2007 17
2008 16
2009 14
2010 9
2011 12
2012 10
2013 14
2014 11
2015 7
2016 10
2017 10
2018 7
2019 7
2020 12
2021 11
Total 242
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Len A. Pennacchio 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 Len A. Pennacchio 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, 235–244 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: 241 publications — 64th percentile

64% 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
235–244 105 241
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
665–674 6
675–684 6
685–694 4
695–702 6
703+ 100
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Len A. Pennacchio 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 Len A. Pennacchio 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, 106–107 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: 106 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 42 106
108–109 28
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

  • 2020 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • DNA
  • Mutation

His scientific interests lie mostly in Genetics, Enhancer, Gene, Genome and Human genome. Genetics and Apolipoprotein B are commonly linked in his work. His Enhancer research incorporates themes from Regulation of gene expression, Reporter gene and Conserved sequence.

Len A. Pennacchio combines subjects such as Computational biology and Binding site with his study of Gene. His Genome study incorporates themes from Homeobox and Hox gene. His Human genome study combines topics from a wide range of disciplines, such as Disease and Genomics.

His most cited work include:

  • Genetic variation in PNPLA3 confers susceptibility to nonalcoholic fatty liver disease (1951 citations)
  • Genetic variation in PNPLA3 confers susceptibility to nonalcoholic fatty liver disease (1951 citations)
  • ChIP-seq accurately predicts tissue-specific activity of enhancers (1335 citations)

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

His primary areas of study are Genetics, Gene, Enhancer, Computational biology and Regulation of gene expression. Genetics is a component of his Human genome, Allele, Transgene, Regulatory sequence and Mutation studies. His studies in Allele integrate themes in fields like Internal medicine, Single-nucleotide polymorphism, Genetic association and Genetic variation.

The various areas that Len A. Pennacchio examines in his Enhancer study include Chromatin, Epigenomics, Conserved sequence and Cell biology. His biological study spans a wide range of topics, including Genome, Genomics, Function, Sequence and DNA sequencing. Len A. Pennacchio has included themes like Enhancer RNAs, Histone and Gene expression profiling in his Regulation of gene expression study.

He most often published in these fields:

  • Genetics (93.85%)
  • Gene (68.16%)
  • Enhancer (75.42%)

What were the highlights of his more recent work (between 2018-2021)?

  • Enhancer (75.42%)
  • Gene (68.16%)
  • Transcription factor (26.26%)

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

Len A. Pennacchio mostly deals with Enhancer, Gene, Transcription factor, Chromatin and Cell biology. Len A. Pennacchio studied Enhancer and Histone that intersect with Epigenome. His Gene research entails a greater understanding of Genetics.

His Transcription factor research includes themes of Gene knockout, Epigenomics, Penetrance and Cardiac neural crest cells. His Chromatin study integrates concerns from other disciplines, such as Sinoatrial node, Gene expression, DNA methylation and Computational biology. Len A. Pennacchio has researched Computational biology in several fields, including ENCODE, Epigenetics and Genome.

Between 2018 and 2021, his most popular works were:

  • Expanded encyclopaedias of DNA elements in the human and mouse genomes (141 citations)
  • Expanded encyclopaedias of DNA elements in the human and mouse genomes (141 citations)
  • An atlas of dynamic chromatin landscapes in mouse fetal development. (37 citations)

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

  • Gene
  • DNA
  • Mutation

His primary areas of investigation include Enhancer, Chromatin, Computational biology, Regulation of gene expression and Gene. His Enhancer research includes elements of Mutation, Sonic hedgehog, Reporter gene, Cell biology and Genome editing. In his study, Methylation, Genomics and Functional genomics is strongly linked to DNA methylation, which falls under the umbrella field of Chromatin.

The Computational biology study combines topics in areas such as Transcription factor, Epigenomics, ENCODE and Promoter. His study looks at the relationship between Regulation of gene expression and fields such as Histone, as well as how they intersect with chemical problems. His biological study focuses on CRISPR.

Best Publications

  • Genetic variation in PNPLA3 confers susceptibility to nonalcoholic fatty liver disease

    Stefano Romeo;Julia Kozlitina;Julia Kozlitina;Chao Xing;Alexander Pertsemlidis

  • Expanded encyclopaedias of DNA elements in the human and mouse genomes

    Jill E. Moore;Michael J. Purcaro;Henry E. Pratt;Charles B. Epstein

  • The amphioxus genome and the evolution of the chordate karyotype

    Nicholas H. Putnam;Thomas Butts;David E. K. Ferrier;Rebecca F. Furlong

  • ChIP-seq accurately predicts tissue-specific activity of enhancers

    Axel Visel;Matthew J. Blow;Matthew J. Blow;Zirong Li;Tao Zhang

  • Metagenomic discovery of biomass-degrading genes and genomes from cow rumen.

    Matthias Hess;Matthias Hess;Alexander Sczyrba;Alexander Sczyrba;Rob Egan;Rob Egan;Tae Wan Kim

  • Guidelines for investigating causality of sequence variants in human disease

    D G MacArthur;T A Manolio;D P Dimmock;H L Rehm

  • In vivo enhancer analysis of human conserved non-coding sequences

    Len A. Pennacchio;Len A. Pennacchio;Nadav Ahituv;Alan M. Moses;Shyam Prabhakar

  • An Apolipoprotein Influencing Triglycerides in Humans and Mice Revealed by Comparative Sequencing

    Len A. Pennacchio;Michael Olivier;Jaroslav A. Hubacek;Jonathan C. Cohen

  • VISTA Enhancer Browser—a database of tissue-specific human enhancers

    Axel Visel;Simon Minovitsky;Inna Dubchak;Inna Dubchak;Len A. Pennacchio;Len A. Pennacchio

  • Dicer, Drosha, and outcomes in patients with ovarian cancer

    William M. Merritt;Yvonne G. Lin;Liz Y. Han;Aparna A. Kamat

  • A common allele on chromosome 9 associated with coronary heart disease

    Ruth Mcpherson;Alexander Pertsemlidis;Nihan Kavaslar;Alexandre Stewart

  • Gain-of-function RAF1 mutations cause Noonan and LEOPARD syndromes with hypertrophic cardiomyopathy

    Bhaswati Pandit;Anna Sarkozy;Len A Pennacchio;Claudio Carta

  • Genomic views of distant-acting enhancers

    Axel Visel;Edward M. Rubin;Edward M. Rubin;Len A. Pennacchio;Len A. Pennacchio

  • Most Rare Missense Alleles Are Deleterious in Humans: Implications for Complex Disease and Association Studies

    Gregory V. Kryukov;Len A. Pennacchio;Len A. Pennacchio;Shamil R. Sunyaev

  • Chromatin stretch enhancer states drive cell-specific gene regulation and harbor human disease risk variants

    Stephen C. J. Parker;Michael L. Stitzel;D. Leland Taylor;Jose Miguel Orozco

  • Mutations in the Gene Encoding Cystatin B in Progressive Myoclonus Epilepsy (EPM1)

    Len A. Pennacchio;Anna-Elina Lehesjoki;Nancy E. Stone;Virginia L. Willour

  • Gain-of-function SOS1 mutations cause a distinctive form of Noonan syndrome

    Marco Tartaglia;Len A Pennacchio;Len A Pennacchio;Chen Zhao;Kamlesh K Yadav

  • Enhancers: five essential questions

    Len A. Pennacchio;Wendy Bickmore;Ann Dean;Marcelo A. Nobrega

  • Enhancer redundancy provides phenotypic robustness in mammalian development

    Marco Osterwalder;Iros Barozzi;Virginie Tissières;Virginie Tissières;Yoko Fukuda-Yuzawa

  • Population-based resequencing of ANGPTL4 uncovers variations that reduce triglycerides and increase HDL

    Stefano Romeo;Len A Pennacchio;Len A Pennacchio;Yunxin Fu;Eric Boerwinkle

Frequent Co-Authors

Axel Visel
Axel Visel Lawrence Berkeley National Laboratory
Edward M. Rubin
Edward M. Rubin Joint Genome Institute
Iros Barozzi
Iros Barozzi Medical University of Vienna
Bing Ren
Bing Ren New York Genome Center
Richard M. Myers
Richard M. Myers HudsonAlpha Institute for Biotechnology
Inna Dubchak
Inna Dubchak Lawrence Berkeley National Laboratory
David Bruce
David Bruce Pebble Labs
Miriam Land
Miriam Land Oak Ridge National Laboratory
Nadav Ahituv
Nadav Ahituv University of California, San Francisco
Matt Nolan
Matt Nolan Lawrence Berkeley National Laboratory

External Links

Wikipedia of Len A. Pennacchio Personal website of Len A. Pennacchio

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Best Scientists Citing Len A. Pennacchio

Stefano Romeo

Stefano Romeo

University of Gothenburg

Publications: 120

Sekar Kathiresan

Sekar Kathiresan

Harvard University

Publications: 99

Luca Valenti

Luca Valenti

University of Milan

Publications: 97

Eric Boerwinkle

Eric Boerwinkle

The University of Texas Health Science Center at Houston

Publications: 92

Bing Ren

Bing Ren

New York Genome Center

Publications: 89

Mark I. McCarthy

Mark I. McCarthy

Genentech

Publications: 85

Axel Visel

Axel Visel

Lawrence Berkeley National Laboratory

Publications: 78

Eric S. Lander

Eric S. Lander

Broad Institute

Publications: 69

Nadav Ahituv

Nadav Ahituv

University of California, San Francisco

Publications: 68

Jay Shendure

Jay Shendure

University of Washington

Publications: 66

Mark J. Daly

Mark J. Daly

Massachusetts General Hospital

Publications: 64

Manolis Kellis

Manolis Kellis

MIT

Publications: 62

Evan E. Eichler

Evan E. Eichler

University of Washington

Publications: 59

Denis Duboule

Denis Duboule

Collège de France

Publications: 59

Jose M. Ordovas

Jose M. Ordovas

Tufts University

Publications: 59

Boris Lenhard

Boris Lenhard

Imperial College London

Publications: 58

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