Kalicharan Sharma

105 total papers · 1.2k total citations
70 papers, 810 citations indexed

About

Kalicharan Sharma is a scholar working on Organic Chemistry, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Kalicharan Sharma has authored 70 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Organic Chemistry, 26 papers in Molecular Biology and 10 papers in Computational Theory and Mathematics. Recurrent topics in Kalicharan Sharma's work include Synthesis and biological activity (21 papers), Computational Drug Discovery Methods (10 papers) and Synthesis and Biological Evaluation (9 papers). Kalicharan Sharma is often cited by papers focused on Synthesis and biological activity (21 papers), Computational Drug Discovery Methods (10 papers) and Synthesis and Biological Evaluation (9 papers). Kalicharan Sharma collaborates with scholars based in India, United States and Saudi Arabia. Kalicharan Sharma's co-authors include Kamalendra Singh, Saathvik R. Kannan, Siddappa N. Byrareddy, Austin N. Spratt, Hitendra S. Chand, Vikas Kumar, Fahad A. Al‐Abbasi, Mymoona Akhter, Mahfoozur Rahman and M. S. Zaman and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Frontiers in Microbiology.

In The Last Decade

Kalicharan Sharma

63 papers receiving 790 citations

Author Peers

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

Author						Papers	Cites
Kalicharan Sharma	271	221	190	80	61	70	810
Abida Khan	260 1.0×	217 1.0×	189 1.0×	86 1.1×	103 1.7×	80	950
Pramod Khedekar	216 0.8×	343 1.6×	161 0.8×	55 0.7×	69 1.1×	36	722
Mohammad Z. Ahmed	345 1.3×	214 1.0×	91 0.5×	93 1.2×	31 0.5×	86	917
Isabella Romeo	397 1.5×	188 0.9×	111 0.6×	92 1.1×	40 0.7×	51	878
Sako Mirzaie	375 1.4×	98 0.4×	147 0.8×	144 1.8×	32 0.5×	47	848
Swati Jaiswal	284 1.0×	144 0.7×	82 0.4×	41 0.5×	47 0.8×	47	842
Oluwakemi Ebenezer	302 1.1×	486 2.2×	88 0.5×	100 1.3×	37 0.6×	43	874
Banoth Karan Kumar	261 1.0×	449 2.0×	108 0.6×	166 2.1×	44 0.7×	45	793
Xiangrui Jiang	470 1.7×	241 1.1×	113 0.6×	181 2.3×	37 0.6×	78	994
Juhi Saxena	283 1.0×	237 1.1×	73 0.4×	41 0.5×	100 1.6×	56	1.0k

Countries citing papers authored by Kalicharan Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Kalicharan Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kalicharan Sharma. 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 Kalicharan Sharma. The network helps show where Kalicharan Sharma may publish in the future.

Co-authorship network of co-authors of Kalicharan Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Kalicharan Sharma. A scholar is included among the top collaborators of Kalicharan Sharma 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 Kalicharan Sharma. Kalicharan Sharma 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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