Neil K. Garg

332 total papers · 15.5k total citations
204 papers, 12.9k citations indexed

About

Neil K. Garg is a scholar working on Organic Chemistry, Molecular Biology and Pharmacology. According to data from OpenAlex, Neil K. Garg has authored 204 papers receiving a total of 12.9k indexed citations (citations by other indexed papers that have themselves been cited), including 156 papers in Organic Chemistry, 35 papers in Molecular Biology and 26 papers in Pharmacology. Recurrent topics in Neil K. Garg's work include Cyclization and Aryne Chemistry (57 papers), Chemical synthesis and alkaloids (44 papers) and Catalytic Cross-Coupling Reactions (35 papers). Neil K. Garg is often cited by papers focused on Cyclization and Aryne Chemistry (57 papers), Chemical synthesis and alkaloids (44 papers) and Catalytic Cross-Coupling Reactions (35 papers). Neil K. Garg collaborates with scholars based in United States, United Kingdom and India. Neil K. Garg's co-authors include Kyle W. Quasdorf, Jacob E. Dander, K. N. Houk, Adam E. Goetz, Emma L. Baker, Nicholas A. Weires, Sarah M. Bronner, Tehetena Mesganaw, Liana Hie and Brian M. Stoltz and has published in prestigious journals such as Nature, Science and Chemical Reviews.

In The Last Decade

Neil K. Garg

199 papers receiving 12.7k citations

Hit Papers

Nickel-Catalyzed Cross-Co... 2010 2026 2015 2020 2010 2015 2017 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Neil K. Garg 11.5k 2.2k 2.0k 788 777 204 12.9k
A. I. MEYERS 14.0k 1.2× 3.7k 1.7× 1.9k 1.0× 554 0.7× 771 1.0× 462 15.6k
Gilbert Stork 9.9k 0.9× 3.1k 1.4× 1.0k 0.5× 532 0.7× 1.1k 1.4× 220 11.7k
Satoru Masamune 10.0k 0.9× 3.1k 1.4× 3.2k 1.6× 277 0.4× 861 1.1× 232 12.9k
Paul A. Grieco 7.7k 0.7× 2.6k 1.2× 815 0.4× 331 0.4× 768 1.0× 265 9.6k
Clayton H. Heathcock 9.7k 0.8× 2.6k 1.2× 1.3k 0.7× 549 0.7× 1.2k 1.5× 284 11.2k
Stephen F. Martin 11.3k 1.0× 4.8k 2.1× 1.1k 0.6× 1.1k 1.4× 1.3k 1.7× 381 14.0k
Wolfgang Oppolzer 8.7k 0.8× 2.2k 1.0× 1.1k 0.6× 267 0.3× 545 0.7× 183 9.5k
Edwin Vedējs 10.4k 0.9× 2.8k 1.2× 2.6k 1.3× 198 0.3× 514 0.7× 247 11.8k
Yasuyuki Kita 15.9k 1.4× 2.0k 0.9× 1.9k 1.0× 1.3k 1.7× 708 0.9× 500 17.2k
Yoshiji Takemoto 13.9k 1.2× 3.5k 1.6× 3.3k 1.7× 315 0.4× 398 0.5× 339 14.9k

Countries citing papers authored by Neil K. Garg

Since Specialization
Citations

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

Fields of papers citing papers by Neil K. Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neil K. Garg. 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 Neil K. Garg. The network helps show where Neil K. Garg may publish in the future.

Co-authorship network of co-authors of Neil K. Garg

This figure shows the co-authorship network connecting the top 25 collaborators of Neil K. Garg. A scholar is included among the top collaborators of Neil K. Garg 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 Neil K. Garg. Neil K. Garg 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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