Lalit Mohan Nainwal
- Organic Chemistry top 5%
- Molecular Biology
- Pharmacology
- Computational Theory and Mathematics top 10%
- Public Health, Environmental and Occupational Health
- Co-authors
- Mohammad Mumtaz AlamMohammad ShaquiquzzamanMymoona AkhterMohemmed Faraz KhanSuhel ParvezSharba TasneemGarima VermaM. Wasim Akhtar
- Topics
- Synthesis and biological activity (12 papers)Synthesis and Characterization of Heterocyclic Compounds (8 papers)Computational Drug Discovery Methods (4 papers)
- Journals
- European Journal of Medicinal ChemistryBiomedicine & PharmacotherapyChemico-Biological Interactions
- Partner nations
- IndiaSaudi ArabiaAustralia
In The Last Decade
Lalit Mohan Nainwal
26 papers receiving 599 citations
Peers
Comparison fields: 5 of 79
- Organic Chemistry 390
- Molecular Biology 163
- Pharmacology 74
- Computational Theory and Mathematics 65
- Public Health, Environmental and Occupational Health 36
Countries citing papers authored by Lalit Mohan Nainwal
This map shows the geographic impact of Lalit Mohan Nainwal'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 Lalit Mohan Nainwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lalit Mohan Nainwal more than expected).
Fields of papers citing papers by Lalit Mohan Nainwal
This network shows the impact of papers produced by Lalit Mohan Nainwal. 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 Lalit Mohan Nainwal. The network helps show where Lalit Mohan Nainwal may publish in the future.
Co-authorship network of co-authors of Lalit Mohan Nainwal
This figure shows the co-authorship network connecting the top 25 collaborators of Lalit Mohan Nainwal. A scholar is included among the top collaborators of Lalit Mohan Nainwal 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 Lalit Mohan Nainwal. Lalit Mohan Nainwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 18 | |
| 3 | 12 | |
| 4 | 15 | |
| 5 | 6 | |
| 6 | 11 | |
| 7 | 5 | |
| 8 | 18 | |
| 9 | 19 | |
| 10 | 29 | |
| 11 | 28 | |
| 12 | 99 | |
| 13 | 26 | |
| 14 | 39 | |
| 15 | 170 | |
| 16 | 38 | |
| 17 | 12 | |
| 18 | 4 | |
| 19 | 10 | |
| 20 | 5 |
About Lalit Mohan Nainwal
Lalit Mohan Nainwal is a scholar working on Organic Chemistry, Biochemistry and Immunology and Allergy, having authored 26 papers that have together received 618 indexed citations. Recurring topics across this work include Synthesis and biological activity (12 papers), Synthesis and Characterization of Heterocyclic Compounds (8 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Organic Chemistry (390 citations), Drug Discovery (1 citation) and Toxicology (15 citations). Lalit Mohan Nainwal has collaborated with scholars based in India, Saudi Arabia and Australia. Frequent co-authors include Mohammad Mumtaz Alam, Mohammad Shaquiquzzaman, Mymoona Akhter, Mohemmed Faraz Khan, Suhel Parvez, Sharba Tasneem, Garima Verma, M. Wasim Akhtar, Wasim Akhtar and Poonam Arora. Their work appears in journals such as European Journal of Medicinal Chemistry, Biomedicine & Pharmacotherapy and Chemico-Biological Interactions.
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.