Subha Sundaram

21 total papers · 703 total citations
17 papers, 571 citations indexed

About

Subha Sundaram is a scholar working on Molecular Biology, Immunology and Organic Chemistry. According to data from OpenAlex, Subha Sundaram has authored 17 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Immunology and 5 papers in Organic Chemistry. Recurrent topics in Subha Sundaram's work include Glycosylation and Glycoproteins Research (14 papers), Galectins and Cancer Biology (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Subha Sundaram is often cited by papers focused on Glycosylation and Glycoproteins Research (14 papers), Galectins and Cancer Biology (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Subha Sundaram collaborates with scholars based in United States, Germany and Canada. Subha Sundaram's co-authors include Pamela Stanley, Sara Chalabi, Anne Dell, A. Etienne, Stuart M. Haslam, Jihye Jang‐Lee, Simon J. North, Jae Hoon Lee, Nancy L. Shaper and T. Shantha Raju and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Biochemistry.

In The Last Decade

Subha Sundaram

17 papers receiving 562 citations

Author Peers

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

Author Last Decade Papers Cites
Subha Sundaram 513 173 165 121 81 17 571
Mary C. Beranek 443 0.9× 142 0.8× 197 1.2× 81 0.7× 112 1.4× 13 627
E F Hounsell 582 1.1× 186 1.1× 208 1.3× 196 1.6× 67 0.8× 17 695
Göran Sundblad 468 0.9× 184 1.1× 159 1.0× 129 1.1× 79 1.0× 13 632
Saroja Narasimhan 574 1.1× 276 1.6× 200 1.2× 86 0.7× 75 0.9× 10 660
Stephen M. Manzella 457 0.9× 185 1.1× 135 0.8× 67 0.6× 134 1.7× 17 653
S Hirani 308 0.6× 141 0.8× 172 1.0× 76 0.6× 106 1.3× 10 516
Mehrab Nasirikenari 388 0.8× 71 0.4× 281 1.7× 97 0.8× 60 0.7× 21 517
Tomislav Čaval 462 0.9× 142 0.8× 106 0.6× 97 0.8× 46 0.6× 20 575
Thakor Patel 508 1.0× 186 1.1× 72 0.4× 85 0.7× 60 0.7× 9 636
Peter J. Chefalo 381 0.7× 133 0.8× 202 1.2× 59 0.5× 150 1.9× 12 550

Countries citing papers authored by Subha Sundaram

Since Specialization
Citations

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

Fields of papers citing papers by Subha Sundaram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subha Sundaram

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