Amit Kumar Halder
Impact in
-
- Computational Drug Discovery Methods
- Catalysis top 5%
- Ionic liquids properties and applications
Papers in
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- Computational Drug Discovery Methods 48
- Co-authors
- M. Natália D. S. Cordeiro (31 shared papers)Tarun Jha (32 shared papers)Achintya Saha (14 shared papers)Nilanjan Adhikari (19 shared papers)Pravin Ambure (2 shared papers)Humberto González‐Díaz (2 shared papers)Sumana Mallick (2 shared papers)Krishna Das Saha (3 shared papers)
- Journals
- Molecules (4 papers)European Journal of Medicinal Chemistry (3 papers)Computers in Biology and Medicine (3 papers)International Journal of Molecular Sciences (3 papers)Medicinal Chemistry Research (3 papers)
- Partner nations
- IndiaPortugalSouth Africa
In The Last Decade
Amit Kumar Halder
81 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 107
- Computational Theory and Mathematics 532
- Catalysis 178
- Filtration and Separation 47
- Organic Chemistry 308
- Cancer Research 124
Countries citing papers authored by Amit Kumar Halder
This map shows the geographic impact of Amit Kumar Halder'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 Amit Kumar Halder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Kumar Halder more than expected).
Fields of papers citing papers by Amit Kumar Halder
This network shows the impact of papers produced by Amit Kumar Halder. 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 Amit Kumar Halder. The network helps show where Amit Kumar Halder may publish in the future.
Co-authors
The 25 scholars most cited alongside Amit Kumar Halder, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 149 | |
| 2 | 2019 | 90 | |
| 3 | 2015 | 65 | |
| 4 | 2016 | 51 | |
| 5 | 2021 | 44 | |
| 6 | 2022 | 40 | |
| 7 | 2013 | 32 | |
| 8 | 2021 | 32 | |
| 9 | 2013 | 31 | |
| 10 | 2022 | 29 | |
| 11 | 2018 | 27 | |
| 12 | 2015 | 26 | |
| 13 | 2019 | 25 | |
| 14 | 2019 | 25 | |
| 15 | 2018 | 25 | |
| 16 | 2014 | 24 | |
| 17 | 2017 | 23 | |
| 18 | 2013 | 22 | |
| 19 | 2021 | 21 | |
| 20 | 2009 | 21 |
About Amit Kumar Halder
Amit Kumar Halder is a scholar working on Computational Theory and Mathematics, Molecular Biology, Organic Chemistry, Oncology and Epidemiology, having authored 84 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (48 papers), Synthesis and biological activity (16 papers), Ionic liquids properties and applications (7 papers), Natural Antidiabetic Agents Studies (4 papers), HIV/AIDS drug development and treatment (4 papers), Peptidase Inhibition and Analysis (4 papers), Cholinesterase and Neurodegenerative Diseases (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Computational Theory and Mathematics (532 citations), Catalysis (178 citations), Filtration and Separation (47 citations), Organic Chemistry (308 citations) and Cancer Research (124 citations). Amit Kumar Halder has collaborated with scholars based in India, Portugal and South Africa. Frequent co-authors include M. Natália D. S. Cordeiro, Tarun Jha, Achintya Saha, Nilanjan Adhikari, Pravin Ambure, Humberto González‐Díaz, Sumana Mallick, Krishna Das Saha, Krishna Das Saha and Ana Rita C. Duarte. Their work appears in journals such as Molecules, European Journal of Medicinal Chemistry, Computers in Biology and Medicine, International Journal of Molecular Sciences and Medicinal Chemistry Research.
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.