Uma Devi Vempati

939 citations
20 papers · 754 · h-index 13

Impact in

    • Computational Drug Discovery Methods
    • Biomedical Text Mining and Ontologies
    • Mitochondrial Function and Pathology
    • RNA Research and Splicing
    • Bioinformatics and Genomic Networks
    • Developmental Biology and Gene Regulation

Papers in

    • Biomedical Text Mining and Ontologies 10
    • Mitochondrial Function and Pathology 4
    • TGF-β signaling in diseases 3
    • RNA Research and Splicing 1
    • Cell death mechanisms and regulation 1
    • Developmental Biology and Gene Regulation 1
    • Computational Drug Discovery Methods 3

Uma Devi Vempati

20 papers receiving 731 citations

Peers

Uma Devi Vempati
Comparison fields: 5 of 71
  • Computational Theory and Mathematics 163
  • Molecular Biology 458
  • Small Animals 28
  • Information Systems 77
  • Information Systems and Management 23
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Citations per year

Countries citing papers authored by Uma Devi Vempati

Since Specialization
Citations

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

Fields of papers citing papers by Uma Devi Vempati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Uma Devi Vempati. 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 Uma Devi Vempati. The network helps show where Uma Devi Vempati may publish in the future.

Co-authors

The 25 scholars most cited alongside Uma Devi Vempati, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Uma Devi Vempati Line = papers co-authored together Uma Devi Vempati links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2011102
2 2014100
3 201470
4 200261
5 200761
6 201461
7 200859
8 201245
9 201140
10 200829
11 200828
12 201322
13 201421
14 200012
15 201412
16 20189
17 20017
18 19986
19 19986
20
Development and Applications of the Bioassay Ontology (BAO) to Describe and Categorize High-Throughput Assays
20123

About Uma Devi Vempati

Uma Devi Vempati is a scholar working on Molecular Biology, Computational Theory and Mathematics, Information Systems, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 20 papers that have together received 754 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (10 papers), Mitochondrial Function and Pathology (4 papers), TGF-β signaling in diseases (3 papers), Computational Drug Discovery Methods (3 papers), Research Data Management Practices (2 papers), RNA Research and Splicing (1 paper), Cell death mechanisms and regulation (1 paper) and Developmental Biology and Gene Regulation (1 paper). The work is most often cited by research in Computational Theory and Mathematics (163 citations), Molecular Biology (458 citations), Small Animals (28 citations), Information Systems (77 citations) and Information Systems and Management (23 citations). Uma Devi Vempati has collaborated with scholars based in United States, India and Sweden. Frequent co-authors include Stephan C. Schürer, Carlos Torres Moraes, Vance Lemmon, Ubbo Visser, Saminda W. Abeyruwan, Robin P. Smith, Xianlin Han, Alessandra Torraco, Francisca Díaz and Caty Chung. Their work appears in journals such as SLAS DISCOVERY, Journal of Biomedical Semantics, Gene, BMC Bioinformatics and Mechanisms of Development.

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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