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Engineering and Technology
South Africa
2026

D-Index & Metrics

Engineering and Technology

D-Index
49
Citations
50752
World Ranking
4194
National Ranking
10

Nicola Mulder publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Nicola Mulder sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 134 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 117 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 59 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 165 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Nicola Mulder D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Nicola Mulder sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 128 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 349 scientists 41 D-Index: 362 scientists 42 D-Index: 425 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 94 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 24 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 49 D-Index — 57th percentile

57% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in South Africa Leader Award

Overview

Nicola Mulder is a researcher affiliated with the University of Cape Town in South Africa. Their work primarily spans the fields of Biochemistry, Genetics, and Molecular Biology, with 132 publications. They also contribute substantially to Medical research, with 92 publications.

Their subfields of study include Molecular Biology, Genetics, Public Health, Environmental and Occupational Health, Epidemiology, and Microbiology. These areas reflect a broad engagement with biological sciences and health-related research.

Mulder's research interests address topics such as Genetics, Bioinformatics, and Biomedical Research, Genomics and Rare Diseases, Genetic Associations and Epidemiology, Gut Microbiota and Health, Bioinformatics and Genomic Networks, Biomedical and Engineering Education, and Ethics in Clinical Research.

Frequent co-authors collaborating with Mulder include:

  • Emile R. Chimusa
  • Mamana Mbiyavanga
  • Imane Allali
  • Lyndon Zass
  • Judit Kumuthini

Mulder's recent scholarly contributions feature peer-reviewed papers published between 2020 and 2022. Some examples include:

  • High-depth African genomes inform human migration and health (2020) - Nature
  • Machine Learning and Network Analyses Reveal Disease Subtypes of Pancreatic Cancer and their Molecular Characteristics (2020) - Scientific Reports
  • Lactic acid from vaginal microbiota enhances cervicovaginal epithelial barrier integrity by promoting tight junction protein expression (2022) - Microbiome
  • Integrated molecular characterisation of the MAPK pathways in human cancers reveals pharmacologically vulnerable mutations and gene dependencies (2021) - Communications Biology
  • Africa: sequence 100,000 species to safeguard biodiversity (2022) - Nature

The venues where Nicola Mulder frequently publishes include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Microbiome
  • PLoS Computational Biology
  • Faculty Opinions - Post-Publication Peer Review of the Biomedical Literature

Best Publications

  • Initial sequencing and analysis of the human genome.

    Eric S. Lander;Lauren M. Linton;Bruce Birren;Chad Nusbaum

  • InterProScan: protein domains identifier.

    Emmanuel Quevillon;Ville Silventoinen;Sharmila Pillai;Nicola Harte

  • InterPro: the integrative protein signature database

    Sarah Hunter;Rolf Apweiler;Teresa K. Attwood;Amos Bairoch

  • The InterPro Database, 2003 brings increased coverage and new features

    Nicola J Mulder;Rolf Apweiler;Teresa K Attwood;Amos Marc Bairoch

  • The InterPro database, an integrated documentation resource for protein families, domains and functional sites

    Rolf Apweiler;Terri K. Attwood;Amos Bairoch;Alex Bateman

  • InterPro in 2011: new developments in the family and domain prediction database

    Sarah Hunter;Philip Jones;Alex Mitchell;Rolf Apweiler

  • InterPro, progress and status in 2005

    Nicola J. Mulder;Rolf Apweiler;Teresa K. Attwood;Amos Bairoch

  • The Gene Ontology project in 2008

    Midori A Harris;Jennifer I. Deegan;Amelia Ireland;Jane Lomax

  • New developments in the InterPro database

    Nicola J. Mulder;Rolf Apweiler;Teresa K. Attwood;Amos Bairoch

  • InterPro and InterProScan: tools for protein sequence classification and comparison.

    Nicola Mulder;Rolf Apweiler

  • The Gene Ontology Annotation (GOA) project: implementation of GO in SWISS-PROT, TrEMBL, and InterPro.

    Evelyn Camon;Michele Magrane;Daniel Barrell;David Binns

  • Integrative Annotation of 21,037 Human Genes Validated by Full-Length cDNA Clones

    Tadashi Imanishi;Takeshi Itoh;Yutaka Suzuki;Claire O'Donovan

  • InterPro--an integrated documentation resource for protein families, domains and functional sites

    Rolf Apweiler;Terri K. Attwood;Amos Bairoch;Alex Bateman

  • The minimum information required for reporting a molecular interaction experiment (MIMIx)

    Sandra Orchard;Lukasz Salwinski;Samuel Kerrien;Luisa Montecchi-Palazzi

  • InterPro: An integrated documentation resource for protein families, domains and functional sites

    Nicola J. Mulder;Rolf Apweiler;Terri K. Attwood;Amos Bairoch

  • A federated ecosystem for sharing genomic, clinical data

    A Page;D Baker;M Bobrow;K Boycott

  • H3ABioNet, a sustainable pan-African bioinformatics network for human heredity and health in Africa.

    Nicola J. Mulder;Ezekiel Adebiyi;Raouf Alami;Alia Benkahla

  • Four simple recommendations to encourage best practices in research software

    Rafael C. Jiménez;Mateusz Kuzak;Monther Alhamdoosh;Michelle Barker

  • Manual GO annotation of predictive protein signatures: the InterPro approach to GO curation

    Sarah Burge;Elizabeth Kelly;David Lonsdale;Prudence Mutowo-Muellenet

  • Erratum: Initial sequencing and analysis of the human genome: International Human Genome Sequencing Consortium (Nature (2001) 409 (860-921))

    Eric S. Lander;Lauren M. Linton;Bruce Birren;Chad Nusbaum

  • Function Prediction and Analysis of Mycobacterium tuberculosis Hypothetical Proteins

    Gaston K. Mazandu;Nicola J. Mulder

  • The development and application of bioinformatics core competencies to improve bioinformatics training and education.

    Nicola J. Mulder;Russell Schwartz;Michelle D. Brazas;Cath Brooksbank

  • Bioinformatics Education—Perspectives and Challenges out of Africa

    Özlem Tastan Bishop;Ezekiel F. Adebiyi;Ahmed M. Alzohairy;Dean Everett

  • From sets to graphs

    Ludwig Geistlinger;Gergely Csaba;Robert Küffner;Nicola Mulder

  • Gene Ontology semantic similarity tools: survey on features and challenges for biological knowledge discovery

    Gaston K. Mazandu;Gaston K. Mazandu;Emile R. Chimusa;Nicola J. Mulder

  • The H3Africa policy framework: negotiating fairness in genomics

    Jantina de Vries;Paulina Tindana;Katherine Littler;Michèle Ramsay

  • Machine Learning and Network Analyses Reveal Disease Subtypes of Pancreatic Cancer and their Molecular Characteristics.

    Musalula Sinkala;Nicola Mulder;Darren Martin

  • In silico characterization of proteins: UniProt, InterPro and Integr8.

    Nicola Jane Mulder;Paul Kersey;Manuela Pruess;Rolf Apweiler

Frequent Co-Authors

Rolf Apweiler
Rolf Apweiler European Bioinformatics Institute
Teresa K. Attwood
Teresa K. Attwood University of Manchester
Michèle Ramsay
Michèle Ramsay University of the Witwatersrand
Alex Bateman
Alex Bateman European Bioinformatics Institute
Rodrigo Lopez
Rodrigo Lopez European Bioinformatics Institute
Henning Hermjakob
Henning Hermjakob European Bioinformatics Institute
Daniel Kahn
Daniel Kahn Claude Bernard University Lyon 1
Paul Kersey
Paul Kersey European Bioinformatics Institute
Winston Hide
Winston Hide Harvard Medical School
Richard Durbin
Richard Durbin University of Cambridge

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