G. Rai

190 total papers · 11.5k total citations
44 papers, 1.2k citations indexed

About

G. Rai is a scholar working on Molecular Biology, Pharmacology and Organic Chemistry. According to data from OpenAlex, G. Rai has authored 44 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Pharmacology and 7 papers in Organic Chemistry. Recurrent topics in G. Rai's work include Fungal Biology and Applications (8 papers), Natural Antidiabetic Agents Studies (5 papers) and Drug Solubulity and Delivery Systems (4 papers). G. Rai is often cited by papers focused on Fungal Biology and Applications (8 papers), Natural Antidiabetic Agents Studies (5 papers) and Drug Solubulity and Delivery Systems (4 papers). G. Rai collaborates with scholars based in India, United Kingdom and United States. G. Rai's co-authors include Aditya Ganeshpurkar, Alok Pal Jain, Awesh K. Yadav, Vikas Pandey, Govind P. Agrawal, Santram Lodhi, Shyam S. Pancholi, Sunil K. Jain, Abhinav Agarwal and Himanshu Agrawal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Industrial & Engineering Chemistry Research and International Journal of Biological Macromolecules.

In The Last Decade

G. Rai

41 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
G. Rai 372 258 217 165 157 44 1.2k
Hema Chaudhary 405 1.1× 241 0.9× 173 0.8× 94 0.6× 156 1.0× 41 1.1k
Patrick B. Memvanga 440 1.2× 245 0.9× 170 0.8× 245 1.5× 139 0.9× 32 1.4k
Rupesh Dudhe 251 0.7× 252 1.0× 164 0.8× 162 1.0× 259 1.6× 41 1.5k
Kalvatala Sudhakar 299 0.8× 426 1.7× 105 0.5× 174 1.1× 155 1.0× 38 1.2k
Kuldeep Singh Yadav 374 1.0× 256 1.0× 230 1.1× 124 0.8× 273 1.7× 39 1.2k
Asgar Ali 506 1.4× 282 1.1× 91 0.4× 118 0.7× 194 1.2× 42 1.2k
Benedetta Isacchi 236 0.6× 413 1.6× 218 1.0× 156 0.9× 241 1.5× 29 1.2k
Ram Kumar Sahu 206 0.6× 250 1.0× 258 1.2× 117 0.7× 167 1.1× 111 1.2k
Praveen Kumar Gaur 426 1.1× 432 1.7× 194 0.9× 89 0.5× 158 1.0× 101 1.3k
Leander Corrie 202 0.5× 305 1.2× 99 0.5× 99 0.6× 128 0.8× 42 965

Countries citing papers authored by G. Rai

Since Specialization
Citations

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

Fields of papers citing papers by G. Rai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Rai. 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 G. Rai. The network helps show where G. Rai may publish in the future.

Co-authorship network of co-authors of G. Rai

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