Kalicharan Sharma
- Molecular Biology
- Organic Chemistry top 10%
- Infectious Diseases top 10%
- Computational Theory and Mathematics top 5%
- Epidemiology
- Co-authors
- Siddappa N. ByrareddyAustin N. SprattSaathvik R. KannanKamalendra SinghHitendra S. ChandFahad A. Al‐AbbasiVikas KumarMymoona Akhter
- Topics
- Synthesis and biological activity (21 papers)Computational Drug Discovery Methods (10 papers)Synthesis and Biological Evaluation (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Molecular SciencesFrontiers in Microbiology
- Partner nations
- IndiaUnited StatesSaudi Arabia
In The Last Decade
Kalicharan Sharma
64 papers receiving 802 citations
Peers
Comparison fields: 5 of 112
- Molecular Biology 273
- Organic Chemistry 221
- Infectious Diseases 190
- Computational Theory and Mathematics 80
- Epidemiology 61
Countries citing papers authored by Kalicharan Sharma
This map shows the geographic impact of Kalicharan Sharma'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 Kalicharan Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kalicharan Sharma more than expected).
Fields of papers citing papers by Kalicharan Sharma
This network shows the impact of papers produced by Kalicharan Sharma. 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 Kalicharan Sharma. The network helps show where Kalicharan Sharma may publish in the future.
Co-authorship network of co-authors of Kalicharan Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Kalicharan Sharma. A scholar is included among the top collaborators of Kalicharan Sharma 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 Kalicharan Sharma. Kalicharan Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 12 | |
| 10 | 11 | |
| 11 | 3 | |
| 12 | 7 | |
| 13 | 2 | |
| 14 | 9 | |
| 15 | 3 | |
| 16 | 12 | |
| 17 | 64 | |
| 18 | 11 | |
| 19 | Design and synthesis of some imidazole derivatives containing 2-(4-chlorophenyl)-4, 5-diphenyl imidazole moiety as anti-inflammatory and antimicrobial agents | 2 |
| 20 | Correlation of HI and ELISA tests for detection of Newcastle disease virus antibodies | 1 |
About Kalicharan Sharma
Kalicharan Sharma is a scholar working on Toxicology, Organic Chemistry and Applied Microbiology and Biotechnology, having authored 70 papers that have together received 822 indexed citations. Recurring topics across this work include Synthesis and biological activity (21 papers), Computational Drug Discovery Methods (10 papers) and Synthesis and Biological Evaluation (9 papers). The work is most often cited by research in Infectious Diseases (190 citations), Organic Chemistry (221 citations) and Toxicology (21 citations). Kalicharan Sharma has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Siddappa N. Byrareddy, Austin N. Spratt, Saathvik R. Kannan, Kamalendra Singh, Hitendra S. Chand, Fahad A. Al‐Abbasi, Vikas Kumar, Mymoona Akhter, Mahfoozur Rahman and M. S. Zaman. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Frontiers in Microbiology.
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.