Nomi L. Harris

26.3k total citations · 2 hit papers
44 papers, 2.4k citations indexed

About

Nomi L. Harris is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Nomi L. Harris has authored 44 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 12 papers in Artificial Intelligence and 8 papers in Genetics. Recurrent topics in Nomi L. Harris's work include Genomics and Phylogenetic Studies (18 papers), Biomedical Text Mining and Ontologies (13 papers) and RNA and protein synthesis mechanisms (10 papers). Nomi L. Harris is often cited by papers focused on Genomics and Phylogenetic Studies (18 papers), Biomedical Text Mining and Ontologies (13 papers) and RNA and protein synthesis mechanisms (10 papers). Nomi L. Harris collaborates with scholars based in United States, United Kingdom and Germany. Nomi L. Harris's co-authors include Periannan Senapathy, Marvin B. Shapiro, Chris Mungall, Sima Misra, Fred E. Cohen, Scott Presnell, Deepak Unni, Mark S. Gibson, Suzanna Lewis and Martin G. Reese and has published in prestigious journals such as Nucleic Acids Research, Journal of the American Statistical Association and Bioinformatics.

In The Last Decade

Nomi L. Harris

43 papers receiving 2.3k citations

Hit Papers

[16] Splice junctions, branch point sites, and exons: Seq... 1990 2026 2002 2014 1990 2019 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nomi L. Harris United States 18 1.7k 494 304 171 108 44 2.4k
Brigitte Boeckmann Switzerland 7 2.6k 1.6× 361 0.7× 513 1.7× 123 0.7× 174 1.6× 7 3.3k
Bin Ma Canada 23 2.6k 1.6× 302 0.6× 171 0.6× 118 0.7× 180 1.7× 65 3.6k
Daniel Barrell United Kingdom 12 1.6k 0.9× 230 0.5× 255 0.8× 133 0.8× 96 0.9× 14 2.1k
Seth Carbon United States 9 1.2k 0.7× 271 0.5× 270 0.9× 103 0.6× 132 1.2× 16 1.8k
Michele Magrane United Kingdom 14 1.7k 1.0× 211 0.4× 192 0.6× 116 0.7× 102 0.9× 21 2.2k
Gregory D. Schuler United States 18 2.6k 1.5× 623 1.3× 476 1.6× 146 0.9× 191 1.8× 25 3.3k
Stephen M. J. Searle United Kingdom 11 1.5k 0.9× 371 0.8× 391 1.3× 50 0.3× 151 1.4× 12 2.1k
Christian Burks United States 21 1.8k 1.1× 460 0.9× 302 1.0× 214 1.3× 80 0.7× 42 2.2k
Sylvain Poux Switzerland 18 1.6k 1.0× 301 0.6× 254 0.8× 71 0.4× 80 0.7× 28 2.0k
Alan Christoffels South Africa 26 1.5k 0.9× 564 1.1× 362 1.2× 73 0.4× 228 2.1× 98 2.6k

Countries citing papers authored by Nomi L. Harris

Since Specialization
Citations

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

Fields of papers citing papers by Nomi L. Harris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nomi L. Harris. 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 Nomi L. Harris. The network helps show where Nomi L. Harris may publish in the future.

Co-authorship network of co-authors of Nomi L. Harris

This figure shows the co-authorship network connecting the top 25 collaborators of Nomi L. Harris. A scholar is included among the top collaborators of Nomi L. Harris 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 Nomi L. Harris. Nomi L. Harris 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.
Souza, Vinícius de, Melissa Haendel, Nomi L. Harris, et al.. (2025). Towards a standard benchmark for phenotype-driven variant and gene prioritisation algorithms: PhEval - Phenotypic inference Evaluation framework. BMC Bioinformatics. 26(1). 87–87. 1 indexed citations
2.
Hegde, Harshad, Jennifer Vendetti, Damien Goutte-Gattat, et al.. (2025). A change language for ontologies and knowledge graphs. Database. 2025. 4 indexed citations
3.
Eloe‐Fadrosh, Emiley A., Chris Mungall, Mark A. Miller, et al.. (2024). A Practical Approach to Using the Genomic Standards Consortium MIxS Reporting Standard for Comparative Genomics and Metagenomics. Methods in molecular biology. 2802. 587–609. 3 indexed citations
4.
Coleman, Ben, Elena Casiraghi, Tiffany J. Callahan, et al.. (2024). Association of post-COVID phenotypic manifestations with new-onset psychiatric disease. Translational Psychiatry. 14(1). 246–246. 1 indexed citations
5.
Joachimiak, Marcin P., Mark A. Miller, J. Harry Caufield, et al.. (2024). The Artificial Intelligence Ontology: LLM-Assisted Construction of AI Concept Hierarchies. Applied Ontology. 19(4). 408–418. 1 indexed citations
6.
Jacobsen, Julius O.B., Susan Walker, Valentina Cipriani, et al.. (2024). Efficient reinterpretation of rare disease cases using Exomiser. npj Genomic Medicine. 9(1). 65–65. 1 indexed citations
7.
Caufield, J. Harry, Harshad Hegde, Vincent Emonet, et al.. (2024). Structured Prompt Interrogation and Recursive Extraction of Semantics (SPIRES): a method for populating knowledge bases using zero-shot learning. Bioinformatics. 40(3). 31 indexed citations
8.
Tan, Shawn Zheng Kai, Brian D. Aevermann, Tom Gillespie, et al.. (2023). Brain Data Standards - A method for building data-driven cell-type ontologies. Scientific Data. 10(1). 50–50. 7 indexed citations
9.
Jackson, Rebecca, James P. Balhoff, Eric Douglass, et al.. (2019). ROBOT: A Tool for Automating Ontology Workflows. BMC Bioinformatics. 20(1). 407–407. 89 indexed citations
10.
Dunn, Nathan, Deepak Unni, Colin Diesh, et al.. (2019). Apollo: Democratizing genome annotation. PLoS Computational Biology. 15(2). e1006790–e1006790. 134 indexed citations
11.
Harris, Nomi L., Peter Cock, Hilmar Lapp, et al.. (2016). The 2015 Bioinformatics Open Source Conference (BOSC 2015). PLoS Computational Biology. 12(2). e1004691–e1004691. 2 indexed citations
12.
Harris, Nomi L., et al.. (2014). The Bioinformatics Open Source Conference (BOSC) 2013. Bioinformatics. 31(2). 299–300. 2 indexed citations
13.
Misra, Sima & Nomi L. Harris. (2005). Using Apollo to Browse and Edit Genome Annotations. Current Protocols in Bioinformatics. 12(1). 9.5.1–9.5.28. 41 indexed citations
14.
Harris, Nomi L.. (2003). Annotating Sequence Data Using Genotator. Humana Press eBooks. 132. 259–276. 3 indexed citations
15.
Chapman, David, et al.. (1995). Navigator: Tools for informal structure-activity relationship discovery. Journal of Molecular Graphics. 13(4). 242–249. 2 indexed citations
16.
Harris, Nomi L., Scott Presnell, & Fred E. Cohen. (1994). Four helix bundle diversity in globular proteins. Journal of Molecular Biology. 236(5). 1356–1368. 126 indexed citations
17.
Spiegelhalter, David J., Nomi L. Harris, Kate Bull, & Rodney Franklin. (1994). Empirical Evaluation of Prior Beliefs About Frequencies: Methodology and a Case Study in Congenital Heart Disease. Journal of the American Statistical Association. 89(426). 435–435. 5 indexed citations
18.
Harris, Nomi L., Lawrence Hunter, & David J. States. (1992). Mega-classification: discovering motifs in massive datastreams. National Conference on Artificial Intelligence. 32. 837–842. 22 indexed citations
19.
Harris, Nomi L., David Spiegelhalter, Kate Bull, & Rodney Franklin. (1990). Criticizing Conditional Probabilities in Belief Networks. PubMed Central. 805–809. 2 indexed citations
20.
Harris, Nomi L.. (1990). Probabilistic belief networks for genetic counseling. Computer Methods and Programs in Biomedicine. 32(1). 37–44. 7 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026