Sankar Mohan

3.6k citations
43 papers · 2.0k · h-index 25

Impact in

Papers in

    • Carbohydrate Chemistry and Synthesis 16
    • Click Chemistry and Applications 3
    • Glycosylation and Glycoproteins Research 4
    • Biochemical and Molecular Research 3

Sankar Mohan

43 papers receiving 2.0k citations

Peers

Sankar Mohan
Comparison fields: 5 of 101
  • Biotechnology 251
  • Endocrinology, Diabetes and Metabolism 319
  • Organic Chemistry 509
  • Nutrition and Dietetics 245
  • Sensory Systems 58
Replace Nam Doo Kim with:
Nam Doo Kim South Korea
Saori Takahashi Japan
Bharathi P. Salimath India
Ravi P. Sahu United States
Gilda G. Hillman United States
Thambi Dorai United States
Hong Seok Choi South Korea
Numsen Hail United States
Michael Brands Germany
Jyotsana Singhal United States
Sankar Mohan relative to Nam Doo Kim South Korea Nam Doo Kim's profile →
Citations per field
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Nam Doo Kim · 1×
Citations per year

Countries citing papers authored by Sankar Mohan

Since Specialization
Citations

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

Fields of papers citing papers by Sankar Mohan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sankar Mohan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sankar Mohan Line = papers co-authored together Sankar Mohan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009239
2 2010196
3 2012157
4 2009153
5 2011138
6 2007100
7 200892
8 201689
9 201081
10 200978
11 201174
12 201359
13 200955
14 201336
15 201135
16 200335
17 201332
18 201330
19 201030
20 201030

About Sankar Mohan

Sankar Mohan is a scholar working on Organic Chemistry, Molecular Biology, Epidemiology, Biotechnology and Genetics, having authored 43 papers that have together received 2.0k indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (16 papers), Influenza Virus Research Studies (8 papers), Enzyme Production and Characterization (8 papers), Glycosylation and Glycoproteins Research (4 papers), Natural Antidiabetic Agents Studies (4 papers), Digestive system and related health (3 papers), Biochemical and Molecular Research (3 papers) and Click Chemistry and Applications (3 papers). The work is most often cited by research in Biotechnology (251 citations), Endocrinology, Diabetes and Metabolism (319 citations), Organic Chemistry (509 citations), Nutrition and Dietetics (245 citations) and Sensory Systems (58 citations). Sankar Mohan has collaborated with scholars based in Canada, United States and Mexico. Frequent co-authors include Bernardine M. Pinto, B. Mario Pinto, David R. Rose, Lyann Sim, Kumarasamy Jayakanthan, Ajay Pandita, Hassan Y. Naim, Zora Modrušan, Celina Sanchez Rivers and Eva Lin. Their work appears in journals such as Bioorganic & Medicinal Chemistry, Carbohydrate Research, European Journal of Medicinal Chemistry, Journal of Medicinal Chemistry and International Journal of Antimicrobial Agents.

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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