Subhash Chander Gangar

23 total papers · 556 total citations
19 papers, 459 citations indexed

About

Subhash Chander Gangar is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Pharmacology. According to data from OpenAlex, Subhash Chander Gangar has authored 19 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Pulmonary and Respiratory Medicine and 5 papers in Pharmacology. Recurrent topics in Subhash Chander Gangar's work include Silymarin and Mushroom Poisoning (7 papers), Genomics, phytochemicals, and oxidative stress (4 papers) and Glutathione Transferases and Polymorphisms (3 papers). Subhash Chander Gangar is often cited by papers focused on Silymarin and Mushroom Poisoning (7 papers), Genomics, phytochemicals, and oxidative stress (4 papers) and Glutathione Transferases and Polymorphisms (3 papers). Subhash Chander Gangar collaborates with scholars based in United States and India. Subhash Chander Gangar's co-authors include Rajesh Agarwal, Gagan Deep, Ashwani Koul, Chapla Agarwal, Nupur Mukherjee, Nicholas H. Oberlies, Alpna Tyagi, Manjinder Kaur, Komal Raina and Harold J. Ting and has published in prestigious journals such as PLoS ONE, Cancer Research and Molecular Cancer.

In The Last Decade

Subhash Chander Gangar

19 papers receiving 443 citations

Author Peers

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

Author Last Decade Papers Cites
Subhash Chander Gangar 266 145 76 75 70 19 459
Neehar Bhatia 231 0.9× 174 1.2× 50 0.7× 71 0.9× 55 0.8× 15 448
Titto Augustine 229 0.9× 91 0.6× 147 1.9× 56 0.7× 92 1.3× 19 491
Hsin-Yi Lo 196 0.7× 106 0.7× 78 1.0× 46 0.6× 113 1.6× 13 528
Xuan‐Run Wang 271 1.0× 91 0.6× 97 1.3× 76 1.0× 41 0.6× 12 535
Alpana Tyagi 264 1.0× 191 1.3× 65 0.9× 103 1.4× 90 1.3× 9 476
Anshu M. Roy 282 1.1× 93 0.6× 98 1.3× 87 1.2× 54 0.8× 12 541
Chitra Palanivel 165 0.6× 113 0.8× 36 0.5× 90 1.2× 44 0.6× 16 442
Tung‐Kwang Lee 248 0.9× 76 0.5× 85 1.1× 25 0.3× 66 0.9× 15 476
Rafiq A. Rather 217 0.8× 58 0.4× 69 0.9× 40 0.5× 100 1.4× 11 488
Nidarshana Chaturvedi Parashar 332 1.2× 48 0.3× 52 0.7× 84 1.1× 44 0.6× 23 543

Countries citing papers authored by Subhash Chander Gangar

Since Specialization
Citations

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

Fields of papers citing papers by Subhash Chander Gangar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Subhash Chander Gangar. 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 Subhash Chander Gangar. The network helps show where Subhash Chander Gangar may publish in the future.

Co-authorship network of co-authors of Subhash Chander Gangar

This figure shows the co-authorship network connecting the top 25 collaborators of Subhash Chander Gangar. A scholar is included among the top collaborators of Subhash Chander Gangar 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 Subhash Chander Gangar. Subhash Chander Gangar 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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