Swamy Jagadish

21 total papers · 577 total citations
19 papers, 492 citations indexed

About

Swamy Jagadish is a scholar working on Organic Chemistry, Molecular Biology and Immunology. According to data from OpenAlex, Swamy Jagadish has authored 19 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Organic Chemistry, 6 papers in Molecular Biology and 5 papers in Immunology. Recurrent topics in Swamy Jagadish's work include Synthesis and biological activity (10 papers), Quinazolinone synthesis and applications (4 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers). Swamy Jagadish is often cited by papers focused on Synthesis and biological activity (10 papers), Quinazolinone synthesis and applications (4 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers). Swamy Jagadish collaborates with scholars based in India, United Kingdom and Japan. Swamy Jagadish's co-authors include Chakrabhavi Dhananjaya Mohan, Kanchugarakoppal S. Rangappa, Kesturu S. Girish, Toreshettahally R. Swaroop, Basappa Basappa, Mahadevappa Hemshekhar, Somanathapura K. NaveenKumar, Kempaiah Kemparaju, Kothanahally S. Sharath Kumar and K.S. Rangappa and has published in prestigious journals such as PLoS ONE, Scientific Reports and Toxicology and Applied Pharmacology.

In The Last Decade

Swamy Jagadish

18 papers receiving 486 citations

Author Peers

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

Author Last Decade Papers Cites
Swamy Jagadish 215 196 60 54 37 19 492
Yang Ouyang 196 0.9× 247 1.3× 53 0.9× 39 0.7× 24 0.6× 15 548
Wassim N. Shebaby 111 0.5× 179 0.9× 62 1.0× 61 1.1× 28 0.8× 34 537
Sharifah Sakinah Syed Alwi 150 0.7× 267 1.4× 96 1.6× 25 0.5× 20 0.5× 23 511
Wenda Zhang 153 0.7× 290 1.5× 149 2.5× 38 0.7× 44 1.2× 23 548
Katharina Effenberger‐Neidnicht 85 0.4× 120 0.6× 54 0.9× 20 0.4× 39 1.1× 23 480
Büşra Dinçer 140 0.7× 200 1.0× 25 0.4× 104 1.9× 25 0.7× 27 454
Xiang Gao 85 0.4× 250 1.3× 24 0.4× 50 0.9× 11 0.3× 19 439
You-Jin Kang 91 0.4× 313 1.6× 58 1.0× 51 0.9× 30 0.8× 11 508
Zi‐Long Song 194 0.9× 273 1.4× 56 0.9× 40 0.7× 11 0.3× 23 537
Nicolas Gaboriaud‐Kolar 249 1.2× 255 1.3× 25 0.4× 46 0.9× 21 0.6× 22 541

Countries citing papers authored by Swamy Jagadish

Since Specialization
Citations

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

Fields of papers citing papers by Swamy Jagadish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Swamy Jagadish

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