G. S. Agarwal

35 total papers · 711 total citations
32 papers, 571 citations indexed

About

G. S. Agarwal is a scholar working on Molecular Biology, Plant Science and Biomedical Engineering. According to data from OpenAlex, G. S. Agarwal has authored 32 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Plant Science and 6 papers in Biomedical Engineering. Recurrent topics in G. S. Agarwal's work include Advanced biosensing and bioanalysis techniques (8 papers), Bacillus and Francisella bacterial research (4 papers) and Advanced Biosensing Techniques and Applications (4 papers). G. S. Agarwal is often cited by papers focused on Advanced biosensing and bioanalysis techniques (8 papers), Bacillus and Francisella bacterial research (4 papers) and Advanced Biosensing Techniques and Applications (4 papers). G. S. Agarwal collaborates with scholars based in India. G. S. Agarwal's co-authors include R. Vijayaraghavan, Beer Singh, Vepa Kameswara Rao, Geeta Rai, Brajesh Tripathi, Mannan Boopathi, Anchal Srivastava, Pratibha Pandey, Mukesh Kumar Sharma and Anil K. Nigam and has published in prestigious journals such as Advanced Functional Materials, Journal of Hazardous Materials and Journal of Clinical Microbiology.

In The Last Decade

G. S. Agarwal

32 papers receiving 555 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. S. Agarwal 214 180 174 137 67 32 571
Amid Rahi 287 1.3× 219 1.2× 183 1.1× 174 1.3× 63 0.9× 22 655
Ruchirej Yongsunthon 201 0.9× 112 0.6× 72 0.4× 132 1.0× 34 0.5× 22 594
Deependra Kumar Ban 283 1.3× 211 1.2× 174 1.0× 57 0.4× 36 0.5× 24 548
Mai Anh Tuan 246 1.1× 296 1.6× 152 0.9× 287 2.1× 23 0.3× 33 634
Paulo E. Cabral Filho 235 1.1× 196 1.1× 295 1.7× 78 0.6× 27 0.4× 57 658
Sanat Karmakar 311 1.5× 120 0.7× 127 0.7× 120 0.9× 29 0.4× 37 687
Yao-Chen Chuang 342 1.6× 454 2.5× 143 0.8× 69 0.5× 64 1.0× 21 666
Erick S. Vasquez 123 0.6× 239 1.3× 170 1.0× 71 0.5× 109 1.6× 46 575
Yifan Liang 204 1.0× 162 0.9× 247 1.4× 73 0.5× 38 0.6× 58 679
Eric Balighian 341 1.6× 164 0.9× 358 2.1× 106 0.8× 42 0.6× 19 628

Countries citing papers authored by G. S. Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by G. S. Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. S. Agarwal

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