Somdutt Mujwar
- Molecular Biology
- Organic Chemistry top 5%
- Computational Theory and Mathematics top 1%
- Pharmacology top 5%
- Oncology
- Co-authors
- Mateusz KciukRenata KontekAdrianna Gielecińskaİsmail Çeli̇kDamian KołatŻaneta Kałuzińska‐KołatJeetendra Kumar GuptaKamal Raj Pardasani
- Topics
- Computational Drug Discovery Methods (36 papers)Synthesis and biological activity (31 papers)Cholinesterase and Neurodegenerative Diseases (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsInternational Journal of Molecular Sciences
- Partner nations
- IndiaSaudi ArabiaPoland
In The Last Decade
Somdutt Mujwar
92 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Molecular Biology 686
- Organic Chemistry 491
- Computational Theory and Mathematics 459
- Pharmacology 218
- Oncology 172
Countries citing papers authored by Somdutt Mujwar
This map shows the geographic impact of Somdutt Mujwar'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 Somdutt Mujwar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Somdutt Mujwar more than expected).
Fields of papers citing papers by Somdutt Mujwar
This network shows the impact of papers produced by Somdutt Mujwar. 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 Somdutt Mujwar. The network helps show where Somdutt Mujwar may publish in the future.
Co-authorship network of co-authors of Somdutt Mujwar
This figure shows the co-authorship network connecting the top 25 collaborators of Somdutt Mujwar. A scholar is included among the top collaborators of Somdutt Mujwar 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 Somdutt Mujwar. Somdutt Mujwar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 12 | |
| 3 | 12 | |
| 4 | 2 | |
| 5 | 10 | |
| 6 | 4 | |
| 7 | 12 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 10 | |
| 11 | 51 | |
| 12 | 40 | |
| 13 | 9 | |
| 14 | 33 | |
| 15 | 1 | |
| 16 | 32 | |
| 17 | 33 | |
| 18 | 37 | |
| 19 | 35 | |
| 20 | 0 |
About Somdutt Mujwar
Somdutt Mujwar is a scholar working on Computational Theory and Mathematics, Toxicology and Complementary and alternative medicine, having authored 102 papers that have together received 1.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (36 papers), Synthesis and biological activity (31 papers) and Cholinesterase and Neurodegenerative Diseases (11 papers). The work is most often cited by research in Computational Theory and Mathematics (459 citations), Organic Chemistry (491 citations) and Pharmacology (138 citations). Somdutt Mujwar has collaborated with scholars based in India, Saudi Arabia and Poland. Frequent co-authors include Mateusz Kciuk, Renata Kontek, Adrianna Gielecińska, İsmail Çeli̇k, Damian Kołat, Żaneta Kałuzińska‐Kołat, Jeetendra Kumar Gupta, Kamal Raj Pardasani, Mariusz Mojzych and Kamal Shah. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.
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.