Shagun Krishna

35 total papers · 585 total citations
28 papers, 472 citations indexed

About

Shagun Krishna is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Shagun Krishna has authored 28 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Organic Chemistry and 5 papers in Computational Theory and Mathematics. Recurrent topics in Shagun Krishna's work include Cancer therapeutics and mechanisms (7 papers), DNA Repair Mechanisms (6 papers) and Computational Drug Discovery Methods (5 papers). Shagun Krishna is often cited by papers focused on Cancer therapeutics and mechanisms (7 papers), DNA Repair Mechanisms (6 papers) and Computational Drug Discovery Methods (5 papers). Shagun Krishna collaborates with scholars based in India, United Kingdom and United States. Shagun Krishna's co-authors include Mohammad Imran Siddiqi, Dibyendu Banerjee, Vikash Kumar, Nicole Kleinstreuer, Mohammad Shameem, Brian R. Berridge, Koneni V. Sashidhara, Sanjeev Meena, Dipak Datta and Fatima Rizvi and has published in prestigious journals such as Scientific Reports, RSC Advances and European Journal of Medicinal Chemistry.

In The Last Decade

Shagun Krishna

27 papers receiving 467 citations

Author Peers

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

Author Last Decade Papers Cites
Shagun Krishna 253 141 94 60 44 28 472
M Carraz 153 0.6× 152 1.1× 41 0.4× 64 1.1× 81 1.8× 38 471
Mohammad Kalim Ahmad Khan 189 0.7× 84 0.6× 93 1.0× 26 0.4× 37 0.8× 45 449
Sanja Koštrun 189 0.7× 222 1.6× 58 0.6× 22 0.4× 33 0.8× 25 474
Venkatesan Suryanarayanan 225 0.9× 63 0.4× 113 1.2× 34 0.6× 28 0.6× 24 448
Amit Bhattacharya 162 0.6× 260 1.8× 67 0.7× 112 1.9× 27 0.6× 17 530
M. Csató 155 0.6× 51 0.4× 66 0.7× 55 0.9× 26 0.6× 28 494
Ahmad F. Eweas 105 0.4× 194 1.4× 44 0.5× 34 0.6× 19 0.4× 27 413
Yanyan Diao 252 1.0× 103 0.7× 53 0.6× 30 0.5× 56 1.3× 32 430
Ana Paula de Campos Guimarães 148 0.6× 82 0.6× 95 1.0× 33 0.6× 25 0.6× 36 432
Olivia Soria‐Arteche 129 0.5× 214 1.5× 54 0.6× 25 0.4× 40 0.9× 23 446

Countries citing papers authored by Shagun Krishna

Since Specialization
Citations

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

Fields of papers citing papers by Shagun Krishna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shagun Krishna

This figure shows the co-authorship network connecting the top 25 collaborators of Shagun Krishna. A scholar is included among the top collaborators of Shagun Krishna 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 Shagun Krishna. Shagun Krishna 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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2026