Nikhil D. Amnerkar

24 total papers · 626 total citations
19 papers, 492 citations indexed

About

Nikhil D. Amnerkar is a scholar working on Organic Chemistry, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Nikhil D. Amnerkar has authored 19 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Organic Chemistry, 6 papers in Molecular Biology and 4 papers in Computational Theory and Mathematics. Recurrent topics in Nikhil D. Amnerkar's work include Synthesis and biological activity (6 papers), Computational Drug Discovery Methods (4 papers) and Biochemical and Molecular Research (3 papers). Nikhil D. Amnerkar is often cited by papers focused on Synthesis and biological activity (6 papers), Computational Drug Discovery Methods (4 papers) and Biochemical and Molecular Research (3 papers). Nikhil D. Amnerkar collaborates with scholars based in India, Chile and United Kingdom. Nikhil D. Amnerkar's co-authors include Kishore P. Bhusari, Nitin B. Charbe, Saurabh C. Khadse, Bhoomendra A. Bhongade, Pramod B. Khedekar, Murtaza M. Tambuwala, Flavia C. Zacconi, Alaa A. A. Aljabali, Gaurav Gupta and Saurabh Satija and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Medicinal Chemistry and Acta Pharmaceutica Sinica B.

In The Last Decade

Nikhil D. Amnerkar

17 papers receiving 480 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Nikhil D. Amnerkar	231	209	53	51	49	19	492
Ahmad Perwez	171 0.7×	184 0.9×	28 0.5×	40 0.8×	25 0.5×	23	457
Hussien Ahmed Khamees	251 1.1×	145 0.7×	45 0.8×	39 0.8×	36 0.7×	28	499
Małgorzata Milczarek	126 0.5×	265 1.3×	36 0.7×	25 0.5×	15 0.3×	22	442
Nianhuan Yao	121 0.5×	253 1.2×	37 0.7×	20 0.4×	26 0.5×	17	415
Katarzyna Lubelska	125 0.5×	302 1.4×	38 0.7×	27 0.5×	13 0.3×	20	494
Jianqiang Qian	178 0.8×	196 0.9×	81 1.5×	26 0.5×	21 0.4×	27	447
Haiwei Xu	74 0.3×	263 1.3×	59 1.1×	42 0.8×	22 0.4×	27	507
Zhengguang Zhu	150 0.6×	227 1.1×	17 0.3×	44 0.9×	20 0.4×	29	540
Warispreet Singh	83 0.4×	291 1.4×	40 0.8×	22 0.4×	28 0.6×	25	431
Pritam Thapa	244 1.1×	143 0.7×	53 1.0×	15 0.3×	33 0.7×	13	465

Countries citing papers authored by Nikhil D. Amnerkar

Since Specialization

Citations

This map shows the geographic impact of Nikhil D. Amnerkar'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 Nikhil D. Amnerkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikhil D. Amnerkar more than expected).

Fields of papers citing papers by Nikhil D. Amnerkar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nikhil D. Amnerkar. 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 Nikhil D. Amnerkar. The network helps show where Nikhil D. Amnerkar may publish in the future.

Co-authorship network of co-authors of Nikhil D. Amnerkar

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

All Works

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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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