Amit Kumar Halder
Impact in
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- Computational Drug Discovery Methods
- Catalysis top 5%
- Ionic liquids properties and applications
Papers in
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- Computational Drug Discovery Methods 46
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- Chemical Synthesis and Analysis 3
- Co-authors
- M. Natália D. S. Cordeiro (29 shared papers)Tarun Jha (29 shared papers)Achintya Saha (12 shared papers)Nilanjan Adhikari (16 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)Medicinal Chemistry Research (3 papers)European Journal of Medicinal Chemistry (3 papers)International Journal of Molecular Sciences (3 papers)Future Medicinal Chemistry (3 papers)
- Partner nations
- IndiaPortugalSouth Africa
In The Last Decade
Amit Kumar Halder
73 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 105
- Computational Theory and Mathematics 515
- Catalysis 162
- Filtration and Separation 46
- Organic Chemistry 294
- Cancer Research 120
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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 130 | |
| 2 | 2019 | 79 | |
| 3 | 2015 | 63 | |
| 4 | 2016 | 50 | |
| 5 | 2022 | 37 | |
| 6 | 2021 | 34 | |
| 7 | 2021 | 31 | |
| 8 | 2013 | 31 | |
| 9 | 2013 | 30 | |
| 10 | 2022 | 27 | |
| 11 | 2015 | 26 | |
| 12 | 2019 | 25 | |
| 13 | 2018 | 25 | |
| 14 | 2014 | 24 | |
| 15 | 2018 | 23 | |
| 16 | 2019 | 23 | |
| 17 | 2017 | 23 | |
| 18 | 2021 | 20 | |
| 19 | 2009 | 19 | |
| 20 | 2010 | 19 |
About Amit Kumar Halder
Amit Kumar Halder is a scholar working on Computational Theory and Mathematics, Molecular Biology, Organic Chemistry, Oncology and Pharmacology, having authored 75 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (46 papers), Synthesis and biological activity (14 papers), Ionic liquids properties and applications (6 papers), Peptidase Inhibition and Analysis (5 papers), Free Radicals and Antioxidants (4 papers), HIV/AIDS drug development and treatment (4 papers), Natural Antidiabetic Agents Studies (3 papers) and Chemical Synthesis and Analysis (3 papers). The work is most often cited by research in Computational Theory and Mathematics (515 citations), Catalysis (162 citations), Filtration and Separation (46 citations), Organic Chemistry (294 citations) and Cancer Research (120 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, Medicinal Chemistry Research, European Journal of Medicinal Chemistry, International Journal of Molecular Sciences and Future 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.