J. S. Yadav

1.6k total papers · 23.6k total citations
983 papers, 19.5k citations indexed

About

J. S. Yadav is a scholar working on Organic Chemistry, Molecular Biology and Pharmacology. According to data from OpenAlex, J. S. Yadav has authored 983 papers receiving a total of 19.5k indexed citations (citations by other indexed papers that have themselves been cited), including 922 papers in Organic Chemistry, 260 papers in Molecular Biology and 111 papers in Pharmacology. Recurrent topics in J. S. Yadav's work include Synthetic Organic Chemistry Methods (392 papers), Chemical Synthesis and Reactions (250 papers) and Asymmetric Synthesis and Catalysis (177 papers). J. S. Yadav is often cited by papers focused on Synthetic Organic Chemistry Methods (392 papers), Chemical Synthesis and Reactions (250 papers) and Asymmetric Synthesis and Catalysis (177 papers). J. S. Yadav collaborates with scholars based in India, France and Saudi Arabia. J. S. Yadav's co-authors include B. V. Subba Reddy, Gowravaram Sabitha, Basi V. Subba Reddy, A. R. Prasad, Srihari Pabbaraja, A. Venkat Narsaiah, K. Nagaiah, G. Sudhakar Reddy, K. Bhaskar Reddy and Ch. Srinivas Reddy and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

J. S. Yadav

969 papers receiving 19.1k citations

Author Peers

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

Author Last Decade Papers Cites
J. S. Yadav 17.7k 4.5k 2.0k 1.8k 1.5k 983 19.5k
Teruaki Mukaiyama 20.8k 1.2× 7.2k 1.6× 923 0.5× 4.0k 2.3× 1.1k 0.7× 976 23.5k
Larry E. Overman 24.3k 1.4× 4.6k 1.0× 1.8k 0.9× 3.6k 2.0× 1.9k 1.2× 421 26.6k
Stephen Hanessian 14.5k 0.8× 9.2k 2.0× 1.9k 0.9× 1.5k 0.9× 1.3k 0.9× 571 19.1k
Hisashi Yamamoto 26.3k 1.5× 6.6k 1.5× 988 0.5× 8.1k 4.6× 788 0.5× 723 29.5k
Erick M. Carreira 31.3k 1.8× 6.9k 1.5× 2.2k 1.1× 8.5k 4.9× 1.6k 1.0× 563 36.4k
David A. Evans 30.5k 1.7× 8.4k 1.9× 3.4k 1.7× 6.5k 3.7× 3.0k 2.0× 360 34.3k
Albert Padwa 23.0k 1.3× 3.5k 0.8× 833 0.4× 1.4k 0.8× 298 0.2× 707 24.3k
Wölfgang Steglich 9.1k 0.5× 5.4k 1.2× 3.2k 1.6× 869 0.5× 1.3k 0.8× 546 15.7k
Tsutomu Katsuki 18.5k 1.0× 3.5k 0.8× 1.2k 0.6× 6.9k 3.9× 1.1k 0.7× 310 22.1k
Jack E. Baldwin 11.0k 0.6× 7.8k 1.7× 3.0k 1.5× 3.3k 1.9× 1.2k 0.7× 638 18.9k

Countries citing papers authored by J. S. Yadav

Since Specialization
Citations

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

Fields of papers citing papers by J. S. Yadav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. S. Yadav. 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 J. S. Yadav. The network helps show where J. S. Yadav may publish in the future.

Co-authorship network of co-authors of J. S. Yadav

This figure shows the co-authorship network connecting the top 25 collaborators of J. S. Yadav. A scholar is included among the top collaborators of J. S. Yadav 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 J. S. Yadav. J. S. Yadav 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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