Nitin T. Supekar

32 total papers · 1.7k total citations
23 papers, 1.1k citations indexed

About

Nitin T. Supekar is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Organic Chemistry. According to data from OpenAlex, Nitin T. Supekar has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Organic Chemistry. Recurrent topics in Nitin T. Supekar's work include Glycosylation and Glycoproteins Research (17 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Carbohydrate Chemistry and Synthesis (9 papers). Nitin T. Supekar is often cited by papers focused on Glycosylation and Glycoproteins Research (17 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Carbohydrate Chemistry and Synthesis (9 papers). Nitin T. Supekar collaborates with scholars based in United States, Netherlands and United Kingdom. Nitin T. Supekar's co-authors include Parastoo Azadi, Asif Shajahan, Anne Gleinich, Geert‐Jan Boons, Christian Heiß, Margreet A. Wolfert, Stephanie Archer‐Hartmann, Vani Lakshminarayanan, Sandra Gendler and Peter A. Cohen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Nitin T. Supekar

23 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Nitin T. Supekar 682 374 247 247 201 23 1.1k
Asif Shajahan 644 0.9× 422 1.1× 139 0.6× 164 0.7× 134 0.7× 37 1.2k
Paula Magnelli 666 1.0× 234 0.6× 140 0.6× 161 0.7× 111 0.6× 27 1.1k
Balamurugan Periaswamy 691 1.0× 187 0.5× 248 1.0× 95 0.4× 46 0.2× 25 1.4k
Sha Ha 724 1.1× 141 0.4× 238 1.0× 89 0.4× 117 0.6× 42 1.2k
T.N.C. Ramya 1.0k 1.5× 83 0.2× 419 1.7× 180 0.7× 162 0.8× 40 1.4k
Camille Bonomelli 824 1.2× 156 0.4× 221 0.9× 257 1.0× 301 1.5× 15 1.1k
Daniel A. Beauregard 584 0.9× 247 0.7× 205 0.8× 44 0.2× 198 1.0× 20 1.4k
Corinne Vivès 779 1.1× 160 0.4× 186 0.8× 357 1.4× 134 0.7× 38 1.2k
Loc Trinh 697 1.0× 261 0.7× 69 0.3× 80 0.3× 104 0.5× 26 1.2k
Ruixiang Blake Zheng 714 1.0× 176 0.5× 481 1.9× 115 0.5× 82 0.4× 37 1.1k

Countries citing papers authored by Nitin T. Supekar

Since Specialization
Citations

This map shows the geographic impact of Nitin T. Supekar'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 Nitin T. Supekar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nitin T. Supekar more than expected).

Fields of papers citing papers by Nitin T. Supekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nitin T. Supekar. 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 Nitin T. Supekar. The network helps show where Nitin T. Supekar may publish in the future.

Co-authorship network of co-authors of Nitin T. Supekar

This figure shows the co-authorship network connecting the top 25 collaborators of Nitin T. Supekar. A scholar is included among the top collaborators of Nitin T. Supekar 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 Nitin T. Supekar. Nitin T. Supekar 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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