Nag S. Kumar
Impact in
- Biotechnology top 10%
- Enzyme Production and Characterization
- Organic Chemistry top 10%
- Carbohydrate Chemistry and Synthesis
- Click Chemistry and Applications
Papers in
-
- Carbohydrate Chemistry and Synthesis 7
- Synthesis and Biological Evaluation 3
- Click Chemistry and Applications 2
-
- Glycosylation and Glycoproteins Research 4
- Biochemical and Molecular Research 2
- Co-authors
- Robert N. Young (7 shared papers)B. Mario Pinto (5 shared papers)Bernardine M. Pinto (2 shared papers)D.A. Kuntz (2 shared papers)David R. Rose (2 shared papers)Tom Pfeifer (3 shared papers)Nicolette S. Honson (2 shared papers)Lyann Sim (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry (4 papers)Carbohydrate Research (3 papers)The Journal of Organic Chemistry (2 papers)FEBS Journal (1 paper)Assay and Drug Development Technologies (1 paper)
- Partner nations
- CanadaUnited StatesSwitzerland
In The Last Decade
Nag S. Kumar
16 papers receiving 341 citations
Peers
Comparison fields: 5 of 62
- Biotechnology 60
- Organic Chemistry 157
- Pharmacology 38
- Molecular Biology 162
- Endocrinology, Diabetes and Metabolism 33
Countries citing papers authored by Nag S. Kumar
This map shows the geographic impact of Nag S. Kumar'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 Nag S. Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nag S. Kumar more than expected).
Fields of papers citing papers by Nag S. Kumar
This network shows the impact of papers produced by Nag S. Kumar. 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 Nag S. Kumar. The network helps show where Nag S. Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Nag S. Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 72 | |
| 2 | 2014 | 39 | |
| 3 | 2015 | 33 | |
| 4 | 2009 | 31 | |
| 5 | 2014 | 30 | |
| 6 | 2014 | 27 | |
| 7 | 2012 | 26 | |
| 8 | 2005 | 15 | |
| 9 | 2005 | 14 | |
| 10 | 2007 | 13 | |
| 11 | 2016 | 13 | |
| 12 | 2006 | 10 | |
| 13 | 2007 | 8 | |
| 14 | 2005 | 7 | |
| 15 | 2010 | 5 | |
| 16 | 2004 | 1 |
About Nag S. Kumar
Nag S. Kumar is a scholar working on Organic Chemistry, Molecular Biology, Epidemiology, Biotechnology and Plant Science, having authored 16 papers that have together received 344 indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (7 papers), Glycosylation and Glycoproteins Research (4 papers), Legume Nitrogen Fixing Symbiosis (3 papers), Enzyme Production and Characterization (3 papers), Synthesis and Biological Evaluation (3 papers), Click Chemistry and Applications (2 papers), Biochemical and Molecular Research (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Biotechnology (60 citations), Organic Chemistry (157 citations), Pharmacology (38 citations), Molecular Biology (162 citations) and Endocrinology, Diabetes and Metabolism (33 citations). Nag S. Kumar has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Robert N. Young, B. Mario Pinto, Bernardine M. Pinto, D.A. Kuntz, David R. Rose, Tom Pfeifer, Nicolette S. Honson, Lyann Sim, Erwin E. Sterchi and Ahmad Ghavami. Their work appears in journals such as Bioorganic & Medicinal Chemistry, Carbohydrate Research, The Journal of Organic Chemistry, FEBS Journal and Assay and Drug Development Technologies.
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.