Deepak Unni

5.8k total citations · 1 hit paper
15 papers, 751 citations indexed

About

Deepak Unni is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Deepak Unni has authored 15 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Artificial Intelligence. Recurrent topics in Deepak Unni's work include Genomics and Phylogenetic Studies (5 papers), Biomedical Text Mining and Ontologies (4 papers) and Genomics and Rare Diseases (2 papers). Deepak Unni is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Biomedical Text Mining and Ontologies (4 papers) and Genomics and Rare Diseases (2 papers). Deepak Unni collaborates with scholars based in United States, Switzerland and Germany. Deepak Unni's co-authors include Christine G. Elsik, Colin Diesh, Nomi L. Harris, Darren E. Hagen, Hung N. Nguyen, Chris Mungall, Peter N. Robinson, Marcin P. Joachimiak, Melissa Haendel and Mónica Muñoz-Torres and has published in prestigious journals such as Nucleic Acids Research, Nature Reviews Drug Discovery and Frontiers in Plant Science.

In The Last Decade

Deepak Unni

14 papers receiving 739 citations

Hit Papers

align trajectories

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.

How many rare diseases are there?

2019 279 citations Melissa Haendel, Nicole Vasilevsky et al. Nature Reviews Drug Discovery profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deepak Unni United States	11	357	326	79	78	59	15	751
Debashis Ghosh United States	17	825 2.3×	339 1.0×	60 0.8×	64 0.8×	48 0.8×	47	1.4k
Robert Bjornson United States	16	1000 2.8×	250 0.8×	117 1.5×	114 1.5×	35 0.6×	23	1.4k
Julie Sullivan United Kingdom	10	757 2.1×	151 0.5×	62 0.8×	220 2.8×	15 0.3×	17	1.0k
Adriano Barbosa-Silva Germany	15	473 1.3×	127 0.4×	22 0.3×	70 0.9×	79 1.3×	26	708
Rachael E. Workman United States	10	859 2.4×	155 0.5×	30 0.4×	146 1.9×	41 0.7×	13	1.0k
Isaac Turner United Kingdom	9	588 1.6×	413 1.3×	12 0.2×	215 2.8×	68 1.2×	12	897
Yin Hu China	16	492 1.4×	176 0.5×	63 0.8×	96 1.2×	9 0.2×	37	913
Ron Davis United States	8	584 1.6×	83 0.3×	52 0.7×	124 1.6×	31 0.5×	15	873
Claude Mugnier France	12	499 1.4×	145 0.4×	16 0.2×	70 0.9×	27 0.5×	29	1.1k

Countries citing papers authored by Deepak Unni

Since Specialization

Citations

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

Fields of papers citing papers by Deepak Unni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Unni

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Unni. A scholar is included among the top collaborators of Deepak Unni 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 Deepak Unni. Deepak Unni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

1.

Touré, Vasundra, et al.. (2025). The SPHN Schema Forge – transform healthcare semantics from human-readable to machine-readable by leveraging semantic web technologies. Journal of Biomedical Semantics. 16(1). 9–9.

2.

Touré, Vasundra, et al.. (2023). FAIRification of health-related data using semantic web technologies in the Swiss Personalized Health Network. Scientific Data. 10(1). 127–127. 12 indexed citations

3.

Hoyt, Charles Tapley, Meghan A. Balk, Tiffany J. Callahan, et al.. (2022). Unifying the identification of biomedical entities with the Bioregistry. Scientific Data. 9(1). 714–714. 14 indexed citations

4.

Reese, Justin, Deepak Unni, Tiffany J. Callahan, et al.. (2020). KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response. Patterns. 2(1). 100155–100155. 54 indexed citations

5.

Gardiner, Jack M., Deborah A. Triant, Deepak Unni, et al.. (2020). MaizeMine: A Data Mining Warehouse for the Maize Genetics and Genomics Database. Frontiers in Plant Science. 11. 592730–592730. 16 indexed citations

6.

Reese, Justin, Deepak Unni, Tiffany J. Callahan, et al.. (2020). KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response. SSRN Electronic Journal. 2 indexed citations

7.

Shamimuzzaman, Md, Deepak Unni, Colin Diesh, et al.. (2019). Bovine Genome Database: new annotation tools for a new reference genome. Nucleic Acids Research. 48(D1). D676–D681. 25 indexed citations

8.

Dunn, Nathan, Deepak Unni, Colin Diesh, et al.. (2019). Apollo: Democratizing genome annotation. PLoS Computational Biology. 15(2). e1006790–e1006790. 134 indexed citations

9.

Haendel, Melissa, Nicole Vasilevsky, Deepak Unni, et al.. (2019). How many rare diseases are there?. Nature Reviews Drug Discovery. 19(2). 77–78. 279 indexed citations breakdown →

10.

Hagen, Darren E., et al.. (2018). Bovine Genome Database: Tools for Mining the Bos taurus Genome. Methods in molecular biology. 1757. 211–249. 6 indexed citations

11.

Elsik, Christine G., et al.. (2018). Hymenoptera Genome Database: Using HymenopteraMine to Enhance Genomic Studies of Hymenopteran Insects. Methods in molecular biology. 1757. 513–556. 10 indexed citations

12.

Unni, Deepak, Nathan Dunn, Eric Yao, et al.. (2017). GMOD/Apollo: Apollo2.1.0(JB#d3827c). Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations

13.

Elsik, Christine G., et al.. (2015). Bovine Genome Database: new tools for gleaning function from theBos taurusgenome. Nucleic Acids Research. 44(D1). D834–D839. 74 indexed citations

14.

Elsik, Christine G., et al.. (2015). Hymenoptera Genome Database: integrating genome annotations in HymenopteraMine. Nucleic Acids Research. 44(D1). D793–D800. 85 indexed citations

15.

Misra, Suniti, Shibnath Ghatak, Prasad Dandawate, et al.. (2013). Novel dual cyclooxygenase and lipoxygenase inhibitors targeting hyaluronan–CD44v6 pathway and inducing cytotoxicity in colon cancer cells. Bioorganic & Medicinal Chemistry. 21(9). 2551–2559. 38 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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