Sham S. Nikam

48 total papers · 887 total citations
28 papers, 694 citations indexed

About

Sham S. Nikam is a scholar working on Organic Chemistry, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sham S. Nikam has authored 28 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Organic Chemistry, 15 papers in Molecular Biology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sham S. Nikam's work include Synthesis and Biological Evaluation (7 papers), Neuroscience and Neuropharmacology Research (5 papers) and Chemical Synthesis and Analysis (3 papers). Sham S. Nikam is often cited by papers focused on Synthesis and Biological Evaluation (7 papers), Neuroscience and Neuropharmacology Research (5 papers) and Chemical Synthesis and Analysis (3 papers). Sham S. Nikam collaborates with scholars based in United States and Japan. Sham S. Nikam's co-authors include Leonard T. Meltzer, Christopher F. Bigge, Michael Rafferty, Annette M. Doherty, A. K. Awasthi, Donald R. Johnson, Mohammed Shahid, Erik H.F. Wong, Arnold R. Martin and David L. Nelson and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Bacteriology and Journal of Medicinal Chemistry.

In The Last Decade

Sham S. Nikam

26 papers receiving 651 citations

Author Peers

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

Author Last Decade Papers Cites
Sham S. Nikam 339 310 207 75 42 28 694
Stacey O’Malley 291 0.9× 211 0.7× 227 1.1× 67 0.9× 36 0.9× 36 767
John L. Sawyer 231 0.7× 186 0.6× 150 0.7× 62 0.8× 57 1.4× 36 651
James S. Frazee 280 0.8× 213 0.7× 140 0.7× 147 2.0× 35 0.8× 22 625
Kōsuke Yasuda 231 0.7× 300 1.0× 110 0.5× 37 0.5× 41 1.0× 31 789
Otto W. Woltersdorf 401 1.2× 161 0.5× 147 0.7× 65 0.9× 22 0.5× 20 663
Valentina Zuliani 415 1.2× 323 1.0× 82 0.4× 44 0.6× 44 1.0× 34 764
Joel G. Berger 318 0.9× 288 0.9× 274 1.3× 47 0.6× 38 0.9× 36 743
A. Walser 268 0.8× 434 1.4× 134 0.6× 29 0.4× 47 1.1× 55 791
Dwight S. Fullerton 420 1.2× 240 0.8× 63 0.3× 48 0.6× 61 1.5× 38 782
M. S. NOBBS 313 0.9× 181 0.6× 237 1.1× 49 0.7× 40 1.0× 21 596

Countries citing papers authored by Sham S. Nikam

Since Specialization
Citations

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

Fields of papers citing papers by Sham S. Nikam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sham S. Nikam. 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 Sham S. Nikam. The network helps show where Sham S. Nikam may publish in the future.

Co-authorship network of co-authors of Sham S. Nikam

This figure shows the co-authorship network connecting the top 25 collaborators of Sham S. Nikam. A scholar is included among the top collaborators of Sham S. Nikam 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 Sham S. Nikam. Sham S. Nikam 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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