Uma D. Vempati

967 total citations
21 papers, 587 citations indexed

About

Uma D. Vempati is a scholar working on Molecular Biology, Computational Theory and Mathematics and Clinical Biochemistry. According to data from OpenAlex, Uma D. Vempati has authored 21 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 2 papers in Clinical Biochemistry. Recurrent topics in Uma D. Vempati's work include Computational Drug Discovery Methods (8 papers), Biomedical Text Mining and Ontologies (7 papers) and Bioinformatics and Genomic Networks (6 papers). Uma D. Vempati is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Biomedical Text Mining and Ontologies (7 papers) and Bioinformatics and Genomic Networks (6 papers). Uma D. Vempati collaborates with scholars based in United States, India and Sweden. Uma D. Vempati's co-authors include Carlos T. Moraes, Stephan C. Schürer, Vance Lemmon, Robin P. Smith, Ubbo Visser, Saminda Abeyruwan, Xianlin Han, Alessandra Torraco, Francisca Díaz and Mary Lou King and has published in prestigious journals such as Journal of Biological Chemistry, Bioinformatics and PLoS ONE.

In The Last Decade

Uma D. Vempati

21 papers receiving 578 citations

Peers

Uma D. Vempati

CTM

BIOPH

Osamu Maruyama Japan

Alexander Mazein Luxembourg

James Vlasblom Canada

Marek Ostaszewski Luxembourg

Rudolf Pillich United States

Ted M. Lakowski Canada

Linda Huang United States

Alpha Tom Kodamullil Germany

Xing-Ming Zhao China

Xiaohe Shi China

Osamu Maruyama Japan

Uma D. Vempati

970 ×2.1

103 ×0.6

CTM

46 ×0.8

18 ×0.4

10 ×0.3

BIOPH

Citations per year, relative to Uma D. Vempati Uma D. Vempati (= 1×) peers Osamu Maruyama

Countries citing papers authored by Uma D. Vempati

Since Specialization

Citations

This map shows the geographic impact of Uma D. 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 D. 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 D. Vempati more than expected).

Fields of papers citing papers by Uma D. Vempati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uma D. Vempati

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

All Works

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20 of 20 papers shown

Pinto, Milena, Uma D. Vempati, Francisca Díaz, Susana Peralta, & Carlos T. Moraes. (2018). Ablation of Cytochrome c in Adult Forebrain Neurons Impairs Oxidative Phosphorylation Without Detectable Apoptosis. Molecular Neurobiology. 56(5). 3722–3735. 8 indexed citations

Vempati, Uma D., Caty Chung, Amar Koleti, et al.. (2014). Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS). SLAS DISCOVERY. 19(5). 803–816. 51 indexed citations

Abeyruwan, Saminda, Uma D. Vempati, Ubbo Visser, et al.. (2014). Evolving BioAssay Ontology (BAO): modularization, integration and applications. Journal of Biomedical Semantics. 5(S1). S5–S5. 56 indexed citations

Souza, Andrea de, Joshua A. Bittker, David L. Lahr, et al.. (2014). An Overview of the Challenges in Designing, Integrating, and Delivering BARD: A Public Chemical-Biology Resource and Query Portal for Multiple Organizations, Locations, and Disciplines. SLAS DISCOVERY. 19(5). 614–627. 20 indexed citations

Murray, David C., et al.. (2014). Using the BioAssay Ontology for Analyzing High-Throughput Screening Data. SLAS DISCOVERY. 20(3). 402–415. 9 indexed citations

Przydzial, Magdalena J., Barun Bhhatarai, Amar Koleti, Uma D. Vempati, & Stephan C. Schürer. (2013). GPCR ontology: development and application of a G protein-coupled receptor pharmacology knowledge framework. Bioinformatics. 29(24). 3211–3219. 20 indexed citations

Vempati, Uma D., Magdalena J. Przydzial, Caty Chung, et al.. (2012). Formalization, Annotation and Analysis of Diverse Drug and Probe Screening Assay Datasets Using the BioAssay Ontology (BAO). PLoS ONE. 7(11). e49198–e49198. 35 indexed citations

Vempati, Uma D. & Stephan C. Schürer. (2012). Development and Applications of the Bioassay Ontology (BAO) to Describe and Categorize High-Throughput Assays. Europe PMC (PubMed Central). 2 indexed citations

Schürer, Stephan C., Uma D. Vempati, Robin P. Smith, Mark R. Southern, & Vance Lemmon. (2011). BioAssay Ontology Annotations Facilitate Cross-Analysis of Diverse High-Throughput Screening Data Sets. SLAS DISCOVERY. 16(4). 415–426. 37 indexed citations

10.

Visser, Ubbo, Saminda Abeyruwan, Uma D. Vempati, et al.. (2011). BioAssay Ontology (BAO): a semantic description of bioassays and high-throughput screening results. BMC Bioinformatics. 12(1). 257–257. 87 indexed citations

11.

Sarntivijai, Sirarat, Zuoshuang Xiang, Terrence F. Meehan, et al.. (2011). Cell line ontology: Redesigning the cell line knowledgebase to aid integrative translational informatics. 833. 25–32. 12 indexed citations

12.

Torraco, Alessandra, Francisca Díaz, Uma D. Vempati, & Carlos T. Moraes. (2008). Mouse models of oxidative phosphorylation defects: Powerful tools to study the pathobiology of mitochondrial diseases. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1793(1). 171–180. 24 indexed citations

13.

Vempati, Uma D., Xianlin Han, & Carlos T. Moraes. (2008). Lack of Cytochrome c in Mouse Fibroblasts Disrupts Assembly/Stability of Respiratory Complexes I and IV. Journal of Biological Chemistry. 284(7). 4383–4391. 56 indexed citations

14.

Vempati, Uma D., Alessandra Torraco, & Carlos T. Moraes. (2008). Mouse models of oxidative phosphorylation dysfunction and disease. Methods. 46(4). 241–247. 27 indexed citations

15.

Vempati, Uma D., Francisca Díaz, Antoni Barrientos, et al.. (2007). Role of Cytochrome c in Apoptosis: Increased Sensitivity to Tumor Necrosis Factor Alpha Is Associated with Respiratory Defects but Not with Lack of Cytochrome c Release. Molecular and Cellular Biology. 27(5). 1771–1783. 51 indexed citations

16.

Bubunenko, Mikhail, Tracy L. Kress, Uma D. Vempati, Kimberly L. Mowry, & Mary Lou King. (2002). A Consensus RNA Signal That Directs Germ Layer Determinants to the Vegetal Cortex of Xenopus Oocytes. Developmental Biology. 248(1). 82–92. 60 indexed citations

17.

Dhanasekaran, Saravana M., Uma D. Vempati, & Paturu Kondaiah. (2001). Isolation and characterization of a transforming growth factor-β Type II receptor cDNA from Xenopus laevis. Gene. 263(1-2). 171–178. 7 indexed citations

18.

Kondaiah, Paturu, Masanori Taira, Uma D. Vempati, & Igor B. Dawid. (2000). Transforming growth factor-β5 expression during early development of Xenopus laevis. Mechanisms of Development. 95(1-2). 207–209. 12 indexed citations

19.

Kondaiah, Paturu, Masanori Taira, Uma D. Vempati, & Igor B. Dawid. (2000). Transforming growth factor-$\beta 5$ expression during early development of Xenopus laevis. NOT FOUND REPOSITORY (Indian Institute of Science Bangalore). 1 indexed citations

20.

Vempati, Uma D. & Paturu Kondaiah. (1998). Characterization of the 5′ flanking region of the Xenopus laevis transforming growth factor-β5 (TGF-β5) gene. Gene. 208(2). 323–329. 6 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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