Nicole Vasilevsky

7.8k total citations · 1 hit paper
48 papers, 1.3k citations indexed

About

Nicole Vasilevsky is a scholar working on Molecular Biology, Information Systems and Management and Artificial Intelligence. According to data from OpenAlex, Nicole Vasilevsky has authored 48 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 9 papers in Information Systems and Management and 9 papers in Artificial Intelligence. Recurrent topics in Nicole Vasilevsky's work include Biomedical Text Mining and Ontologies (24 papers), Semantic Web and Ontologies (8 papers) and Genomics and Rare Diseases (7 papers). Nicole Vasilevsky is often cited by papers focused on Biomedical Text Mining and Ontologies (24 papers), Semantic Web and Ontologies (8 papers) and Genomics and Rare Diseases (7 papers). Nicole Vasilevsky collaborates with scholars based in United States, United Kingdom and Germany. Nicole Vasilevsky's co-authors include Melissa Haendel, Matthew Brush, Chris Mungall, Jessica Minnier, Sebastian Köhler, Tudor Groza, Peter N. Robinson, Gareth Baynam, Julie A. McMurry and Holly Paddock and has published in prestigious journals such as Nature Reviews Drug Discovery, Cancer Research and The Journal of Comparative Neurology.

In The Last Decade

Nicole Vasilevsky

44 papers receiving 1.2k citations

Hit Papers

How many rare diseases are there? 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicole Vasilevsky United States 17 650 329 177 166 148 48 1.3k
Laurence Gamé United Kingdom 24 1.4k 2.1× 277 0.8× 99 0.6× 71 0.4× 78 0.5× 57 2.4k
Daniel Himmelstein United States 14 989 1.5× 286 0.9× 70 0.4× 71 0.4× 165 1.1× 49 1.5k
Florian Prinz Germany 10 593 0.9× 122 0.4× 118 0.7× 49 0.3× 48 0.3× 16 1.6k
Erik Schultes Netherlands 16 876 1.3× 220 0.7× 275 1.6× 322 1.9× 115 0.8× 47 1.4k
Tudor Groza Australia 19 861 1.3× 565 1.7× 80 0.5× 183 1.1× 568 3.8× 82 1.7k
Varsha Khodiyar United Kingdom 13 497 0.8× 193 0.6× 134 0.8× 164 1.0× 48 0.3× 21 1.5k
Martin Fenner Germany 25 1.1k 1.7× 249 0.8× 220 1.2× 323 1.9× 85 0.6× 198 2.2k
Thomas Schlange Germany 21 1.4k 2.1× 171 0.5× 120 0.7× 50 0.3× 55 0.4× 32 2.7k
Matthew Brush United States 17 887 1.4× 88 0.3× 60 0.3× 47 0.3× 70 0.5× 29 1.3k
Kei‐Hoi Cheung United States 24 1.6k 2.4× 655 2.0× 146 0.8× 125 0.8× 344 2.3× 77 2.5k

Countries citing papers authored by Nicole Vasilevsky

Since Specialization
Citations

This map shows the geographic impact of Nicole Vasilevsky'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 Nicole Vasilevsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicole Vasilevsky more than expected).

Fields of papers citing papers by Nicole Vasilevsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicole Vasilevsky. 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 Nicole Vasilevsky. The network helps show where Nicole Vasilevsky may publish in the future.

Co-authorship network of co-authors of Nicole Vasilevsky

This figure shows the co-authorship network connecting the top 25 collaborators of Nicole Vasilevsky. A scholar is included among the top collaborators of Nicole Vasilevsky 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 Nicole Vasilevsky. Nicole Vasilevsky 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.
Tammen, Imke, Nicolas Matentzoglu, Marius Mather, et al.. (2025). The Vertebrate Breed Ontology: Toward Effective Breed Data Standardization. Journal of Veterinary Internal Medicine. 39(4). e70133–e70133.
2.
Matentzoglu, Nicolas, et al.. (2024). Increased discoverability of rare disease datasets through knowledge graph integration. JAMIA Open. 8(1). ooaf001–ooaf001.
3.
Chan, Lauren, Anne Thessen, William D. Duncan, et al.. (2023). The Environmental Conditions, Treatments, and Exposures Ontology (ECTO): connecting toxicology and exposure to human health and beyond. Journal of Biomedical Semantics. 14(1). 3–3. 7 indexed citations
4.
Hosseini, Mohammad, et al.. (2022). Evolution and adoption of contributor role ontologies and taxonomies. Learned Publishing. 36(2). 275–284. 10 indexed citations
5.
Chan, Lauren, Nicole Vasilevsky, Anne Thessen, Julie A. McMurry, & Melissa Haendel. (2021). The landscape of nutri-informatics: a review of current resources and challenges for integrative nutrition research. Database. 2021. 20 indexed citations
6.
Tibbitts, Deanne, et al.. (2021). Effects of Hydrastis Canadensis, Commiphora Habessinica, Phytolacca Americana, and Echinacea Purpurea on Bacterial Growth.. PubMed. 27(4). 24–27. 3 indexed citations
7.
Vasilevsky, Nicole, Mohammad Hosseini, Ehsan Mohammadi, et al.. (2020). Is authorship sufficient for today’s collaborative research? A call for contributor roles. Accountability in Research. 28(1). 23–43. 45 indexed citations
8.
Vasilevsky, Nicole, Mohammad Hosseini, Ehsan Mohammadi, et al.. (2020). Major challenges on authorship and concept of authorship - why is something more needed on contributorship?.
9.
Thessen, Anne, Cynthia Grondin, Resham Kulkarni, et al.. (2020). Community Approaches for Integrating Environmental Exposures into Human Models of Disease. Environmental Health Perspectives. 128(12). 125002–125002. 15 indexed citations
10.
Carmody, Leigh, Hannah Blau, Daniel Daniš, et al.. (2020). Significantly different clinical phenotypes associated with mutations in synthesis and transamidase+remodeling glycosylphosphatidylinositol (GPI)-anchor biosynthesis genes. Orphanet Journal of Rare Diseases. 15(1). 40–40. 20 indexed citations
11.
Adadey, Samuel Mawuli, O. Gabriel, Victoria Nembaware, et al.. (2019). The Hearing Impairment Ontology: A Tool for Unifying Hearing Impairment Knowledge to Enhance Collaborative Research. Genes. 10(12). 960–960. 8 indexed citations
12.
Vasilevsky, Nicole, et al.. (2017). Reproducible and reusable research: are journal data sharing policies meeting the mark?. PeerJ. 5. e3208–e3208. 92 indexed citations
13.
Balhoff, James P., Matthew Brush, Sherri de Coronado, et al.. (2017). Tailoring the NCI Thesaurus for Use in The OBO Library.. 1 indexed citations
14.
Diehl, Alexander D., Terrence F. Meehan, Yvonne M. Bradford, et al.. (2016). The Cell Ontology 2016: enhanced content, modularization, and ontology interoperability. Journal of Biomedical Semantics. 7(1). 44–44. 158 indexed citations
15.
Haendel, Melissa, Nicole Vasilevsky, Matthew Brush, et al.. (2015). Disease insights through cross-species phenotype comparisons. Mammalian Genome. 26(9-10). 548–555. 16 indexed citations
16.
Groza, Tudor, Sebastian Köhler, Nicole Vasilevsky, et al.. (2015). The Human Phenotype Ontology: Semantic Unification of Common and Rare Disease. The American Journal of Human Genetics. 97(1). 111–124. 150 indexed citations
17.
Vasilevsky, Nicole, et al.. (2015). Curriculum Development of a Research Laboratory Methodology Course for Complementary and Integrative Medicine Students. Medical Science Educator. 25(2). 171–175. 2 indexed citations
18.
Bandrowski, Anita, Matthew Brush, Jeffrey S. Grethe, et al.. (2015). The Resource Identification Initiative: A Cultural Shift in Publishing. Neuroinformatics. 14(2). 169–182. 23 indexed citations
19.
Meehan, Terrence F., Nicole Vasilevsky, Chris Mungall, et al.. (2013). Ontology based molecular signatures for immune cell types via gene expression analysis. BMC Bioinformatics. 14(1). 263–263. 9 indexed citations
20.
Vasilevsky, Nicole, Carl E. Ruby, Peter J. Hurlin, & Andrew D. Weinberg. (2011). OX40 engagement stabilizes Mxd4 and Mnt protein levels in antigen‐stimulated T cells leading to an increase in cell survival. European Journal of Immunology. 41(4). 1024–1034. 14 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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