Shagun Krishna
- Toxicology top 10%
- Bioactive Compounds and Antitumor Agents 3
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- Computational Drug Discovery Methods 5
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- Synthesis and biological activity 3
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- Cancer therapeutics and mechanisms 7
- DNA Repair Mechanisms 6
- Histone Deacetylase Inhibitors Research 3
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- Research on Leishmaniasis Studies 4
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- Reproductive tract infections research 3
- Co-authors
- Mohammad Imran SiddiqiDibyendu BanerjeeVikash KumarNicole KleinstreuerMohammad ShameemBrian R. BerridgeKoneni V. SashidharaAmit Laxmikant Deshmukh
- Journals
- Scientific Reports (1 paper)RSC Advances (1 paper)European Journal of Medicinal Chemistry (4 papers)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Shagun Krishna
27 papers receiving 473 citations
Peers
Comparison fields: 5 of 90
- Toxicology 32
- Computational Theory and Mathematics 96
- Organic Chemistry 144
- Chemical Health and Safety 3
- Molecular Biology 256
Countries citing papers authored by Shagun Krishna
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
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
The 25 scholars most cited alongside Shagun Krishna, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2022 | 1 | |
| 4 | 2017 | 41 | |
| 5 | 2017 | 20 | |
| 6 | 2017 | 23 | |
| 7 | 2017 | 4 | |
| 8 | 2016 | 23 | |
| 9 | 2016 | 13 | |
| 10 | 2016 | 9 | |
| 11 | 2016 | 19 | |
| 12 | 2015 | 9 | |
| 13 | 2015 | 20 | |
| 14 | 2015 | 36 | |
| 15 | 2015 | 3 | |
| 16 | 2015 | 10 | |
| 17 | 2014 | 34 | |
| 18 | 2014 | 25 | |
| 19 | 2014 | 44 | |
| 20 | 2014 | 2 |
About Shagun Krishna
Shagun Krishna is a scholar working on Toxicology, Microbiology and Computational Theory and Mathematics, having authored 28 papers that have together received 478 indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (7 papers), DNA Repair Mechanisms (6 papers), Computational Drug Discovery Methods (5 papers), Research on Leishmaniasis Studies (4 papers), Bioactive Compounds and Antitumor Agents (3 papers), Synthesis and biological activity (3 papers), Reproductive tract infections research (3 papers) and Histone Deacetylase Inhibitors Research (3 papers). The work is most often cited by research in Toxicology (32 citations), Computational Theory and Mathematics (96 citations) and Organic Chemistry (144 citations). Shagun Krishna has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Mohammad Imran Siddiqi, Dibyendu Banerjee, Vikash Kumar, Nicole Kleinstreuer, Mohammad Shameem, Brian R. Berridge, Koneni V. Sashidhara, Amit Laxmikant Deshmukh, Fatima Rizvi and Dipak Datta. Their work appears in journals such as Scientific Reports, RSC Advances and European Journal of Medicinal Chemistry.
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.