Arun R. Chavan

29 total papers · 1.8k total citations
15 papers, 747 citations indexed

About

Arun R. Chavan is a scholar working on Immunology, Agronomy and Crop Science and Obstetrics and Gynecology. According to data from OpenAlex, Arun R. Chavan has authored 15 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 5 papers in Agronomy and Crop Science and 5 papers in Obstetrics and Gynecology. Recurrent topics in Arun R. Chavan's work include Reproductive System and Pregnancy (10 papers), Pregnancy and preeclampsia studies (5 papers) and Reproductive Physiology in Livestock (5 papers). Arun R. Chavan is often cited by papers focused on Reproductive System and Pregnancy (10 papers), Pregnancy and preeclampsia studies (5 papers) and Reproductive Physiology in Livestock (5 papers). Arun R. Chavan collaborates with scholars based in United States, Australia and India. Arun R. Chavan's co-authors include Günter P. Wagner, Oliver W. Griffith, Jamie Maziarz, Mihaela Pavličev, Roberto Romero, Kathryn Owens, Louis J. Muglia, Helen Jones, Suhas G. Kallapur and Bhart‐Anjan S. Bhullar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Genome Research.

In The Last Decade

Arun R. Chavan

15 papers receiving 737 citations

Author Peers

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

Author Last Decade Papers Cites
Arun R. Chavan 417 325 163 162 153 15 747
Jamie Maziarz 358 0.9× 278 0.9× 146 0.9× 221 1.4× 150 1.0× 22 735
Alerick O. Welsh 479 1.1× 267 0.8× 153 0.9× 189 1.2× 157 1.0× 11 720
Kota Hatta 558 1.3× 305 0.9× 205 1.3× 169 1.0× 242 1.6× 24 843
Christine Billstrand 491 1.2× 224 0.7× 216 1.3× 161 1.0× 159 1.0× 15 650
Peck Yin Chin 434 1.0× 191 0.6× 312 1.9× 139 0.9× 202 1.3× 23 850
Pedro Caballero-Campo 533 1.3× 163 0.5× 311 1.9× 118 0.7× 439 2.9× 19 878
André Sollwedel 668 1.6× 364 1.1× 303 1.9× 107 0.7× 151 1.0× 14 830
Nadia Gopichandran 190 0.5× 122 0.4× 410 2.5× 196 1.2× 178 1.2× 13 682
J P Kolb 464 1.1× 141 0.4× 140 0.9× 83 0.5× 46 0.3× 27 624
Jy‐Ping Tang 349 0.8× 82 0.3× 128 0.8× 237 1.5× 128 0.8× 11 674

Countries citing papers authored by Arun R. Chavan

Since Specialization
Citations

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

Fields of papers citing papers by Arun R. Chavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arun R. Chavan. 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 Arun R. Chavan. The network helps show where Arun R. Chavan may publish in the future.

Co-authorship network of co-authors of Arun R. Chavan

This figure shows the co-authorship network connecting the top 25 collaborators of Arun R. Chavan. A scholar is included among the top collaborators of Arun R. Chavan 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 Arun R. Chavan. Arun R. Chavan 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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