Amit Kumar Halder

1.5k total citations
75 papers, 1.2k citations indexed

About

Amit Kumar Halder is a scholar working on Computational Theory and Mathematics, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Amit Kumar Halder has authored 75 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computational Theory and Mathematics, 25 papers in Molecular Biology and 21 papers in Organic Chemistry. Recurrent topics in Amit Kumar Halder's work include Computational Drug Discovery Methods (46 papers), Synthesis and biological activity (14 papers) and Ionic liquids properties and applications (6 papers). Amit Kumar Halder is often cited by papers focused on Computational Drug Discovery Methods (46 papers), Synthesis and biological activity (14 papers) and Ionic liquids properties and applications (6 papers). Amit Kumar Halder collaborates with scholars based in India, Portugal and South Africa. Amit Kumar Halder's 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 Bahareh Honarparvar and has published in prestigious journals such as The Science of The Total Environment, The Journal of Physical Chemistry C and Chemosphere.

In The Last Decade

Amit Kumar Halder

73 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Amit Kumar Halder India 20 515 411 294 192 162 75 1.2k
Fereshteh Shiri Iran 21 300 0.6× 480 1.2× 335 1.1× 293 1.5× 52 0.3× 74 1.1k
Jiazhong Li China 25 368 0.7× 655 1.6× 281 1.0× 195 1.0× 21 0.1× 84 1.4k
Simona Kovarich Italy 16 840 1.6× 344 0.8× 375 1.3× 47 0.2× 46 0.3× 34 1.5k
Vasyl Kovalishyn Ukraine 16 320 0.6× 276 0.7× 518 1.8× 60 0.3× 130 0.8× 64 1.0k
L. M. Viranga Tillekeratne United States 19 106 0.2× 481 1.2× 359 1.2× 87 0.5× 34 0.2× 80 1.2k
Diganta Sarma India 26 128 0.2× 517 1.3× 1.5k 5.1× 50 0.3× 134 0.8× 108 2.1k
Xiaoyang He China 16 51 0.1× 344 0.8× 124 0.4× 109 0.6× 416 2.6× 42 1.4k
Farhan Ahmad Pasha South Korea 18 295 0.6× 185 0.5× 380 1.3× 64 0.3× 43 0.3× 47 770
Ramasamy Thilagavathi India 18 163 0.3× 553 1.3× 408 1.4× 69 0.4× 14 0.1× 41 1.5k
Dinesh Kumar India 31 111 0.2× 451 1.1× 1.9k 6.5× 100 0.5× 104 0.6× 94 2.4k

Countries citing papers authored by Amit Kumar Halder

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Amit Kumar Halder

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Kumar Halder. A scholar is included among the top collaborators of Amit Kumar Halder 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 Amit Kumar Halder. Amit Kumar Halder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Halder, Amit Kumar, et al.. (2025). Predicting the Aquatic Toxicity of Pharmaceutical and Personal Care Products: A Multitasking Modeling Approach. Applied Sciences. 15(3). 1246–1246. 2 indexed citations
2.
Fajín, José L. C., Amit Kumar Halder, & M. Natália D. S. Cordeiro. (2025). Machine Learning-Guided Prediction of Activation Energies for Catalyst Design in the Water Gas Shift Reaction. The Journal of Physical Chemistry C. 129(11). 5353–5360. 3 indexed citations
3.
Mitra, Soumya, et al.. (2025). Structural insights into molecular and cellular level FXR binding potentials of GW4064 and LY2562175 hybrids by multi in silico modelling analyses. Journal of Molecular Modeling. 31(4). 119–119. 2 indexed citations
4.
Moreno, Isabel, Sonia Arrasate, Leyre Pérez‐Álvarez, et al.. (2025). Artificial Intelligence-Driven Modeling for Hydrogel Three-Dimensional Printing: Computational and Experimental Cases of Study. Polymers. 17(1). 121–121. 10 indexed citations
5.
Halder, Amit Kumar, Reza Haghbakhsh, Elisabete S.C. Ferreira, Ana Rita C. Duarte, & M. Natália D. S. Cordeiro. (2024). Machine learning-driven prediction of deep eutectic solvents’ heat capacity for sustainable process design. Journal of Molecular Liquids. 418. 126707–126707. 8 indexed citations
6.
Chatterjee, Ankit, et al.. (2024). Development of 2D and 3D QSAR models of pyrazole derivatives as acetylcholine esterase inhibitors. Journal of the Serbian Chemical Society. 89(7-8). 981–995. 2 indexed citations
7.
Mitra, Soumya, Amit Kumar Halder, Nilanjan Ghosh, et al.. (2024). Unveiling structural determinants for FXR antagonism in 1,3,4-trisubstituted-Pyrazol amide derivatives: A multi-scale in silico modelling approach. Computers in Biology and Medicine. 180. 108991–108991. 1 indexed citations
8.
9.
Mitra, Soumya, Parthasarathi Panda, Subhash C. Mandal, et al.. (2023). In Silico Modeling and Structural Analysis of Soluble Epoxide Hydrolase Inhibitors for Enhanced Therapeutic Design. Molecules. 28(17). 6379–6379. 4 indexed citations
10.
Halder, Amit Kumar, Soumya Mitra, & M. Natália D. S. Cordeiro. (2023). Designing multi-target drugs for the treatment of major depressive disorder. Expert Opinion on Drug Discovery. 18(6). 643–658. 5 indexed citations
11.
Mitra, Soumya, Parthasarathi Panda, Souvik Basak, et al.. (2023). Finding structural requirements of structurally diverse α-glucosidase and α-amylase inhibitors through validated and predictive 2D-QSAR and 3D-QSAR analyses. Journal of Molecular Graphics and Modelling. 126. 108640–108640. 9 indexed citations
12.
Halder, Amit Kumar, et al.. (2022). Potential of histone deacetylase inhibitors in the control and regulation of prostate, breast and ovarian cancer. Frontiers in Chemistry. 10. 948217–948217. 27 indexed citations
13.
Ghosh, Abhishek, Parthasarathi Panda, Amit Kumar Halder, & M. Natália D. S. Cordeiro. (2022). In silico characterization of aryl benzoyl hydrazide derivatives as potential inhibitors of RdRp enzyme of H5N1 influenza virus. Frontiers in Pharmacology. 13. 1004255–1004255. 8 indexed citations
14.
Halder, Amit Kumar, et al.. (2021). Synthesis, Anticancer Activity, SAR and Binding Mode of Interaction Studies of Substituted Pentanoic Acids: Part II. Future Medicinal Chemistry. 14(1). 17–34. 7 indexed citations
15.
Hazra, Abhijit, Chanchal Mondal, Amit Kumar Halder, et al.. (2015). Towards the Development of Anticancer Drugs from Andrographolide: Semisynthesis, Bioevaluation, QSAR Analysis and Pharmacokinetic Studies. Current Topics in Medicinal Chemistry. 15(11). 1013–1026. 10 indexed citations
16.
Halder, Amit Kumar, Achintya Saha, & Tarun Jha. (2013). The Role of 3D Pharmacophore Mapping Based Virtual Screening for Identification of Novel Anticancer Agents: An Overview. Current Topics in Medicinal Chemistry. 13(9). 1098–1126. 9 indexed citations
17.
Adhikari, Nilanjan, et al.. (2012). Chemometric Modeling of 5-Phenylthiophenecarboxylic Acid Derivatives as Anti-Rheumatic Agents. Current Computer - Aided Drug Design. 8(3). 182–195. 10 indexed citations
18.
Halder, Amit Kumar & Tarun Jha. (2010). Validated predictive QSAR modeling of N-aryl-oxazolidinone-5-carboxamides for anti-HIV protease activity. Bioorganic & Medicinal Chemistry Letters. 20(20). 6082–6087. 18 indexed citations
19.
Halder, Amit Kumar, Nilanjan Adhikari, & Tarun Jha. (2009). Comparative QSAR modelling of 2-phenylindole-3-carbaldehyde derivatives as potential antimitotic agents. Bioorganic & Medicinal Chemistry Letters. 19(6). 1737–1739. 19 indexed citations
20.
Halder, Amit Kumar, Nilanjan Adhikari, & Tarun Jha. (2009). Structural Findings of 2‐Phenylindole‐3‐Carbaldehyde Derivatives for Antimitotic Activity by FA‐sMLR QSAR Analysis. Chemical Biology & Drug Design. 75(2). 204–213. 12 indexed citations

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.

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