Uma Mudunuri

4.0k total citations
24 papers, 1.1k citations indexed

About

Uma Mudunuri is a scholar working on Molecular Biology, Genetics and Neurology. According to data from OpenAlex, Uma Mudunuri has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Neurology. Recurrent topics in Uma Mudunuri's work include RNA and protein synthesis mechanisms (7 papers), Genomics and Chromatin Dynamics (5 papers) and Bioinformatics and Genomic Networks (4 papers). Uma Mudunuri is often cited by papers focused on RNA and protein synthesis mechanisms (7 papers), Genomics and Chromatin Dynamics (5 papers) and Bioinformatics and Genomic Networks (4 papers). Uma Mudunuri collaborates with scholars based in United States and United Kingdom. Uma Mudunuri's co-authors include Regina Z. Cer, Robert M. Stephens, Ming Yi, Frank J. Lebeda, R. Scott Stephens, Anney Che, Brian T. Luke, Jack Collins, Albino Bacolla and Natalia Volfovsky and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Uma Mudunuri

23 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Uma Mudunuri United States	14	755	137	126	116	92	24	1.1k
Samad Lotia United States	3	834 1.1×	103 0.8×	202 1.6×	173 1.5×	71 0.8×	3	1.3k
Michael Kohl Germany	12	1.1k 1.4×	87 0.6×	320 2.5×	192 1.7×	135 1.5×	26	1.6k
Krishanpal Anamika India	14	879 1.2×	117 0.9×	153 1.2×	102 0.9×	73 0.8×	25	1.3k
Rao Sethumadhavan India	23	1.3k 1.7×	192 1.4×	162 1.3×	111 1.0×	185 2.0×	88	1.8k
Hung‐Yi Wu Taiwan	19	1.2k 1.6×	193 1.4×	138 1.1×	234 2.0×	183 2.0×	30	1.9k
Robert Tonge United Kingdom	14	993 1.3×	123 0.9×	88 0.7×	51 0.4×	82 0.9×	18	1.5k
Farrell MacKenzie Canada	20	1.4k 1.9×	141 1.0×	94 0.7×	147 1.3×	263 2.9×	20	1.9k
Aruna D. Balgi Canada	19	746 1.0×	42 0.3×	129 1.0×	76 0.7×	132 1.4×	31	1.3k
Geping Wang China	16	915 1.2×	72 0.5×	167 1.3×	70 0.6×	299 3.3×	34	1.7k
Dezső Módos United Kingdom	15	747 1.0×	84 0.6×	119 0.9×	32 0.3×	88 1.0×	37	1.1k

Countries citing papers authored by Uma Mudunuri

Since Specialization

Citations

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

Fields of papers citing papers by Uma Mudunuri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uma Mudunuri

This figure shows the co-authorship network connecting the top 25 collaborators of Uma Mudunuri. A scholar is included among the top collaborators of Uma Mudunuri 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 Mudunuri. Uma Mudunuri 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

Watson, Daniel, Sharie J. Haugabook, Gregory J. Tawa, et al.. (2023). Rare disease variant curation from literature: assessing gaps with creatine transport deficiency in focus. BMC Genomics. 24(1). 460–460.

Ros, Xavier Bofill‐De, et al.. (2021). Tumor IsomiR Encyclopedia (TIE): a pan-cancer database of miRNA isoforms. Bioinformatics. 37(18). 3023–3025. 13 indexed citations

Che, Anney, et al.. (2020). AVIA 3.0: interactive portal for genomic variant and sample level analysis. Bioinformatics. 37(16). 2467–2469. 1 indexed citations

Shupp, Jeffrey W., Kathleen E. Brummel‐Ziedins, Mitchell J. Cohen, et al.. (2018). Assessment of Coagulation Homeostasis in Blunt, Penetrating, and Thermal Trauma: Guidance for a Multicenter Systems Biology Approach. Shock. 52(1S). 84–91. 7 indexed citations

Temiz, Nuri A., Duncan Donohue, Albino Bacolla, et al.. (2015). The somatic autosomal mutation matrix in cancer genomes. Human Genetics. 134(8). 851–864. 14 indexed citations

Mudunuri, Uma, et al.. (2013). Knowledge and Theme Discovery across Very Large Biological Data Sets Using Distributed Queries: A Prototype Combining Unstructured and Structured Data. PLoS ONE. 8(12). e80503–e80503. 19 indexed citations

Bacolla, Albino, Nuri A. Temiz, Ming Yi, et al.. (2013). Guanine Holes Are Prominent Targets for Mutation in Cancer and Inherited Disease. PLoS Genetics. 9(9). e1003816–e1003816. 33 indexed citations

Hammamieh, Rasha, Raina Kumar, Nabarun Chakraborty, et al.. (2013). SysBioCube: A Data Warehouse and Integrative Data Analysis Platform Facilitating Systems Biology Studies of Disorders of Military Relevance.. PubMed. 2013. 34–8. 1 indexed citations

Cer, Regina Z., Duncan Donohue, Uma Mudunuri, et al.. (2012). Non-B DB v2.0: a database of predicted non-B DNA-forming motifs and its associated tools. Nucleic Acids Research. 41(D1). D94–D100. 129 indexed citations

10.

Cer, Regina Z., Duncan Donohue, Nuri A. Temiz, et al.. (2012). Searching for Non‐B DNA‐Forming Motifs Using nBMST (Non‐B DNA Motif Search Tool). Current Protocols in Human Genetics. 73(1). Unit 18.7.1–22. 27 indexed citations

11.

Callahan, Robert, Uma Mudunuri, Ahmed Raafat, et al.. (2012). Genes affected by mouse mammary tumor virus (MMTV) proviral insertions in mouse mammary tumors are deregulated or mutated in primary human mammary tumors. Oncotarget. 3(11). 1320–1334. 32 indexed citations

12.

Cer, Regina Z., Duncan Donohue, Albino Bacolla, et al.. (2011). Introducing the non-B DNA Motif Search Tool (nBMST). Genome biology. 12(S1). 5 indexed citations

13.

Cer, Regina Z., Duncan Donohue, Albino Bacolla, et al.. (2011). Introducing the non-B DNA Motif Search Tool (nBMST). Genome biology. 12(S1). 1 indexed citations

14.

Cer, Regina Z., Uma Mudunuri, Ming Yi, et al.. (2010). Non-B DB: a database of predicted non-B DNA-forming motifs in mammalian genomes. Nucleic Acids Research. 39(Database). D383–D391. 76 indexed citations

15.

Lebeda, Frank J., Regina Z. Cer, Uma Mudunuri, et al.. (2010). The Zinc-Dependent Protease Activity of the Botulinum Neurotoxins. Toxins. 2(5). 978–997. 19 indexed citations

16.

Yi, Ming, Uma Mudunuri, Anney Che, & Robert M. Stephens. (2009). Seeking unique and common biological themes in multiple gene lists or datasets: pathway pattern extraction pipeline for pathway-level comparative analysis. BMC Bioinformatics. 10(1). 200–200. 15 indexed citations

17.

Cer, Regina Z., Uma Mudunuri, R. Scott Stephens, & Frank J. Lebeda. (2009). IC50-to-Ki: a web-based tool for converting IC50 to Ki values for inhibitors of enzyme activity and ligand binding. Nucleic Acids Research. 37(Web Server). W441–W445. 305 indexed citations

18.

Mudunuri, Uma, Anney Che, Ming Yi, & Robert M. Stephens. (2009). bioDBnet: the biological database network. Bioinformatics. 25(4). 555–556. 264 indexed citations

19.

Mudunuri, Uma, R. Scott Stephens, David H. Bruining, Derong Liu, & Frank J. Lebeda. (2006). botXminer: mining biomedical literature with a new web-based application. Nucleic Acids Research. 34(Web Server). W748–W752. 8 indexed citations

20.

Riethman, Harold, et al.. (2004). Mapping and Initial Analysis of Human Subtelomeric Sequence Assemblies. Genome Research. 14(1). 18–28. 88 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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