Avani A. Pendse

44 total papers · 563 total citations
24 papers, 404 citations indexed

About

Avani A. Pendse is a scholar working on Epidemiology, Molecular Biology and Oncology. According to data from OpenAlex, Avani A. Pendse has authored 24 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 8 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Avani A. Pendse's work include Peroxisome Proliferator-Activated Receptors (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Adipose Tissue and Metabolism (3 papers). Avani A. Pendse is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Adipose Tissue and Metabolism (3 papers). Avani A. Pendse collaborates with scholars based in United States and Taiwan. Avani A. Pendse's co-authors include Nobuyo Maeda, Lance A. Johnson, Michael K. Altenburg, José M. Arbones-Mainar, Chris A. Benedict, Robert D. Junkins, Jenny P.‐Y. Ting, Karen V. Swanson, Alex Petrucelli and Elizabeth Holley-Guthrie and has published in prestigious journals such as The Journal of Experimental Medicine, SHILAP Revista de lepidopterología and Diabetes.

In The Last Decade

Avani A. Pendse

20 papers receiving 403 citations

Author Peers

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

Author Last Decade Papers Cites
Avani A. Pendse 198 147 73 64 64 24 404
Annalisa Moregola 140 0.7× 181 1.2× 49 0.7× 67 1.0× 78 1.2× 19 398
Xinmiao Wang 199 1.0× 108 0.7× 61 0.8× 45 0.7× 37 0.6× 25 487
Paulette A. Krishack 146 0.7× 122 0.8× 42 0.6× 76 1.2× 64 1.0× 15 387
Gareth S. D. Purvis 250 1.3× 172 1.2× 40 0.5× 51 0.8× 62 1.0× 17 464
Sara Bruzzaniti 159 0.8× 161 1.1× 47 0.6× 65 1.0× 41 0.6× 24 479
Haoneng Tang 191 1.0× 64 0.4× 91 1.2× 45 0.7× 87 1.4× 35 431
Denis Bernot 199 1.0× 67 0.5× 78 1.1× 59 0.9× 96 1.5× 26 468
Shenna Langenbach 158 0.8× 102 0.7× 73 1.0× 49 0.8× 38 0.6× 24 429
Lijun Dai 153 0.8× 95 0.6× 66 0.9× 99 1.5× 77 1.2× 30 461
Urpu Salmenniemi 102 0.5× 110 0.7× 68 0.9× 47 0.7× 94 1.5× 39 435

Countries citing papers authored by Avani A. Pendse

Since Specialization
Citations

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

Fields of papers citing papers by Avani A. Pendse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Avani A. Pendse. 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 Avani A. Pendse. The network helps show where Avani A. Pendse may publish in the future.

Co-authorship network of co-authors of Avani A. Pendse

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