Nicola Mulder

47.1k total citations · 2 hit papers
159 papers, 6.8k citations indexed

About

Nicola Mulder is a scholar working on Molecular Biology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Nicola Mulder has authored 159 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Molecular Biology, 29 papers in Genetics and 22 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Nicola Mulder's work include Genomics and Phylogenetic Studies (35 papers), Genetics, Bioinformatics, and Biomedical Research (31 papers) and Bioinformatics and Genomic Networks (28 papers). Nicola Mulder is often cited by papers focused on Genomics and Phylogenetic Studies (35 papers), Genetics, Bioinformatics, and Biomedical Research (31 papers) and Bioinformatics and Genomic Networks (28 papers). Nicola Mulder collaborates with scholars based in South Africa, United Kingdom and United States. Nicola Mulder's co-authors include Rolf Apweiler, Rodrigo López, Naomi Harte, Emmanuel Quévillon, S. Pillai, Gaston K. Mazandu, Emile R. Chimusa, Musalula Sinkala, Darren P. Martin and Paul Kersey and has published in prestigious journals such as The Lancet, Nucleic Acids Research and Nature Medicine.

In The Last Decade

Nicola Mulder

150 papers receiving 6.7k citations

Hit Papers

InterProScan: protein domains identifier 2003 2026 2010 2018 2005 2003 500 1000 1.5k 2.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. InterProScan: protein domains identifier
    2005 2.2k citations Nicola Mulder, Rolf Apweiler et al. profile →
  2. The InterPro Database, 2003 brings increased coverage and new features
    2003 550 citations Nicola Mulder profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nicola Mulder South Africa 34 4.4k 1.2k 848 600 571 159 6.8k
Young Mi Park South Korea 13 4.4k 1.0× 1.5k 1.3× 753 0.9× 633 1.1× 801 1.4× 30 7.3k
Adrian R. Tivey United Kingdom 7 3.2k 0.7× 1.0k 0.8× 628 0.7× 605 1.0× 677 1.2× 7 5.5k
Nicola Buso United Kingdom 5 3.1k 0.7× 944 0.8× 594 0.7× 558 0.9× 582 1.0× 5 5.2k
Fábio Madeira United Kingdom 9 3.2k 0.7× 916 0.8× 600 0.7× 552 0.9× 573 1.0× 14 5.4k
Kim Wong United States 27 2.7k 0.6× 1.1k 0.9× 913 1.1× 661 1.1× 652 1.1× 46 4.8k
Nandana Madhusoodanan United Kingdom 5 3.0k 0.7× 898 0.7× 583 0.7× 546 0.9× 545 1.0× 5 5.0k
Lukas Käll Sweden 37 7.0k 1.6× 1.0k 0.9× 890 1.0× 374 0.6× 888 1.6× 81 10.3k
Jeremy Goecks United States 14 4.5k 1.0× 951 0.8× 891 1.1× 403 0.7× 940 1.6× 34 7.7k
Haim Ashkenazy Israel 23 4.7k 1.1× 890 0.7× 1.1k 1.4× 411 0.7× 772 1.4× 39 6.9k
Mark N. Wass United Kingdom 25 5.8k 1.3× 1.6k 1.3× 1.1k 1.3× 871 1.5× 889 1.6× 68 9.5k

Countries citing papers authored by Nicola Mulder

Since Specialization
Citations

This map shows the geographic impact of Nicola Mulder's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nicola Mulder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicola Mulder more than expected).

Fields of papers citing papers by Nicola Mulder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicola Mulder. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nicola Mulder. The network helps show where Nicola Mulder may publish in the future.

Co-authorship network of co-authors of Nicola Mulder

This figure shows the co-authorship network connecting the top 25 collaborators of Nicola Mulder. A scholar is included among the top collaborators of Nicola Mulder based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicola Mulder. Nicola Mulder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zass, Lyndon, Adetola Louis‐Jacques, Imane Allali, et al.. (2024). Advancing microbiome research through standardized data and metadata collection: introducing the Microbiome Research Data Toolkit. Database. 2024. 3 indexed citations
2.
Oduaran, Ovokeraye H., Morẹ́nikẹ́ Oluwátóyìn Foláyan, Arox W. Kamng’ona, et al.. (2024). Microbiome research in Africa must be based on equitable partnerships. Nature Medicine. 30(10). 2715–2717. 5 indexed citations
3.
Kiran, Anmol, Ovokeraye H. Oduaran, Imane Allali, et al.. (2024). The African Human Microbiome Portal: a public web portal of curated metagenomic metadata. Database. 2024. 3 indexed citations
4.
5.
Heckmann, Jeannine M., Gerrit Botha, Nicola Mulder, et al.. (2023). Analysis of Structural Variants Previously Associated With ALS in Europeans Highlights Genomic Architectural Differences in Africans. Neurology Genetics. 9(4). e200077–e200077. 1 indexed citations
6.
Mbiyavanga, Mamana, et al.. (2023). Assessing HLA imputation accuracy in a West African population. PLoS ONE. 18(9). e0291437–e0291437. 1 indexed citations
7.
Nel, Andrew J. M., et al.. (2023). MetaNovo: An open-source pipeline for probabilistic peptide discovery in complex metaproteomic datasets. PLoS Computational Biology. 19(6). e1011163–e1011163. 12 indexed citations
8.
Hamdi, Yosr, Nicola Mulder, & Sonia Abdelhak. (2022). Women in Systems Science and Gender Parity: Why and How to Democratize the “Technology, Innovation, and Society Nexus”. OMICS A Journal of Integrative Biology. 26(6). 329–338. 2 indexed citations
9.
10.
Fadlelmola, Faisal M., Lyndon Zass, Melek Chaouch, et al.. (2021). Data Management Plans in the genomics research revolution of Africa: Challenges and recommendations. Journal of Biomedical Informatics. 122. 103900–103900. 7 indexed citations
11.
Heerden, Carel J. van, et al.. (2020). Hypothalamic‐pituitary‐adrenal axis suppression in asthma: A glucocorticoid receptor polymorphism may protect. Pediatric Allergy and Immunology. 32(2). 273–279. 9 indexed citations
12.
13.
Chimusa, Emile R., et al.. (2020). Genome-Wide Association Study of Brain Connectivity Changes for Alzheimer’s Disease. Scientific Reports. 10(1). 1433–1433. 23 indexed citations
14.
Kumuthini, Judit, Andrew J. Mallett, Lyndon Zass, et al.. (2019). Proposed minimum information guideline for kidney disease—research and clinical data reporting: a cross-sectional study. BMJ Open. 9(11). e029539–e029539. 2 indexed citations
15.
Manasa, Justen, Mcebisi Maphosa, Joshua Mbanga, et al.. (2018). Strategies and opportunities for promoting bioinformatics in Zimbabwe. PLoS Computational Biology. 14(11). e1006480–e1006480. 10 indexed citations
16.
Beiswanger, Christine M., Alash’le Abimiku, Alan Christoffels, et al.. (2017). Accessing Biospecimens from the H3Africa Consortium. Biopreservation and Biobanking. 15(2). 95–98. 8 indexed citations
17.
Wood, Robin, Carl Morrow, Clifton E. Barry, et al.. (2016). Real-Time Investigation of Tuberculosis Transmission: Developing the Respiratory Aerosol Sampling Chamber (RASC). PLoS ONE. 11(1). e0146658–e0146658. 39 indexed citations
18.
Bishop, Özlem Taştan, Ezekiel Adebiyi, Dean Everett, et al.. (2014). Bioinformatics Education--Perspectives and Challenges out of Africa. Briefings in Bioinformatics. 16(2). 355–364. 59 indexed citations
19.
Mulder, Nicola & Rolf Apweiler. (2001). Tools and resources for identifying protein families, domains and motifs.. Genome Biology. 3(1). reviews2001.1–reviews2001.1. 20 indexed citations
20.
Biswas, Margaret, Rolf Apweiler, Wolfgang Fleischmann, et al.. (2000). Proteome Analysis: Application of InterPro and CluSTr for the Functional Classification of Proteins in Whole Genomes.. 149–158. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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