Subramaniam Sabesan

1.7k citations
23 papers · 1.4k indexed · h-index 20
Topics
Glycosylation and Glycoproteins Research (16 papers)Carbohydrate Chemistry and Synthesis (16 papers)Influenza Virus Research Studies (3 papers)

In The Last Decade

Subramaniam Sabesan

23 papers receiving 1.4k citations

Peers

Subramaniam Sabesan
Comparison fields: 5 of 82
  • Molecular Biology 1.1k
  • Organic Chemistry 782
  • Immunology 247
  • Epidemiology 222
  • Radiology, Nuclear Medicine and Imaging 139
Replace Hiroshi Hinou with:
Hiroshi Hinou Japan
Jacques Prandi France
James R. Rasmussen United States
Adam Kraszewski Poland
Vadim B. Krylov Russia
Mattie S. M. Timmer New Zealand
Samy Cecioni France
Marina L. Gening Russia
Pavla Simerská Australia
Suri S. Iyer United States
Subramaniam Sabesan relative to Hiroshi Hinou Japan Hiroshi Hinou's profile →
Citations per field
00.5×1.5×
Hiroshi Hinou · 1×
Citations per year

Countries citing papers authored by Subramaniam Sabesan

Since Specialization
Citations

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

Fields of papers citing papers by Subramaniam Sabesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subramaniam Sabesan

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 68
2 163
3 86
4 31
5 104
6 140
7 23
8 2
9 26
10 33
11 5
12 11
13 58
14 121
15 56
16 75
17 153
18 81
19 45
20 40

About Subramaniam Sabesan

Subramaniam Sabesan is a scholar working on Organic Chemistry, Molecular Biology and Biotechnology, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (16 papers), Carbohydrate Chemistry and Synthesis (16 papers) and Influenza Virus Research Studies (3 papers). The work is most often cited by research in Organic Chemistry (782 citations), Molecular Biology (1.1k citations) and Biotechnology (113 citations). Subramaniam Sabesan has collaborated with scholars based in United States, Denmark and Netherlands. Frequent co-authors include Susana Neira, James C. Paulson, Klaus Bock, C. Fred Brewer, Raymond U. Lemieux, Dipti Gupta, James C. Sacchettini, Andréa Dessen, Michael B. Eisen and D. C. Wiley. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Biochemistry.

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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