Sudha Talwar

38 total papers · 798 total citations
23 papers, 578 citations indexed

About

Sudha Talwar is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Sudha Talwar has authored 23 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Genetics and 4 papers in Cancer Research. Recurrent topics in Sudha Talwar's work include RNA Research and Splicing (4 papers), RNA modifications and cancer (4 papers) and Sexual function and dysfunction studies (3 papers). Sudha Talwar is often cited by papers focused on RNA Research and Splicing (4 papers), RNA modifications and cancer (4 papers) and Sexual function and dysfunction studies (3 papers). Sudha Talwar collaborates with scholars based in United States, India and Canada. Sudha Talwar's co-authors include Asim B. Abdel‐Mageed, Debasis Mondal, Hogyoung Kim, Viswanathan Palanisamy, Amrita Datta, Xin Hu, Adedoyin Johnson, Lauren McGee, Noel Southall and Marc Ferrer and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Sudha Talwar

23 papers receiving 563 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sudha Talwar 436 201 68 52 49 23 578
Gry H. Dihazi 461 1.1× 133 0.7× 98 1.4× 42 0.8× 35 0.7× 29 674
Ke Hu 381 0.9× 378 1.9× 48 0.7× 39 0.8× 70 1.4× 32 635
Valeriana Cesarini 483 1.1× 166 0.8× 57 0.8× 43 0.8× 34 0.7× 25 692
Jie Li 457 1.0× 295 1.5× 62 0.9× 30 0.6× 33 0.7× 34 632
Beáta Soltész 368 0.8× 314 1.6× 121 1.8× 44 0.8× 52 1.1× 31 590
Jun‐Hyuk Choi 376 0.9× 95 0.5× 81 1.2× 64 1.2× 47 1.0× 26 579
Wei Zhu 394 0.9× 273 1.4× 40 0.6× 49 0.9× 31 0.6× 23 551
Nader Hussein 430 1.0× 223 1.1× 60 0.9× 40 0.8× 60 1.2× 24 597
Claudia Haydée González-De la Rosa 349 0.8× 170 0.8× 45 0.7× 62 1.2× 49 1.0× 28 553
Xudong Wang 399 0.9× 328 1.6× 57 0.8× 35 0.7× 33 0.7× 25 598

Countries citing papers authored by Sudha Talwar

Since Specialization
Citations

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

Fields of papers citing papers by Sudha Talwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudha Talwar

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

All Works

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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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