K. Suguna
Impact in
- Biotechnology top 2%
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Biochemical and Structural Characterization
Papers in
-
- Escherichia coli research studies 10
-
- Glycosylation and Glycoproteins Research 35
- Protein Structure and Dynamics 19
- RNA and protein synthesis mechanisms 9
- Co-authors
- Avadhesha SuroliaM. VijayanEduardo A. PadlanNamita SuroliaD. Rhodri DaviesWilliam D. CarlsonClark W. SmithE. Subramanian
- Journals
- Proteins Structure Function and Bioinformatics (8 papers)Journal of Molecular Biology (7 papers)IUBMB Life (4 papers)Scientific Reports (3 papers)Biochemistry (3 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
K. Suguna
96 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 112
- Biotechnology 211
- Molecular Biology 1.6k
- Organic Chemistry 639
- Immunology 343
- Infectious Diseases 277
Countries citing papers authored by K. Suguna
This map shows the geographic impact of K. Suguna'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 K. Suguna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Suguna more than expected).
Fields of papers citing papers by K. Suguna
This network shows the impact of papers produced by K. Suguna. 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 K. Suguna. The network helps show where K. Suguna may publish in the future.
Co-authorship network
The 25 scholars most cited alongside K. Suguna, 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 | 2021 | 2 | |
| 2 | 2015 | 4 | |
| 3 | 2012 | 7 | |
| 4 | 2011 | 23 | |
| 5 | 2011 | 9 | |
| 6 | Rotavirus nonstructural proteins: a structural perspective | 2010 | 1 |
| 7 | 2010 | 20 | |
| 8 | 2008 | 12 | |
| 9 | 2007 | 3 | |
| 10 | 2006 | 33 | |
| 11 | 2006 | 8 | |
| 12 | 2005 | 6 | |
| 13 | 2005 | 3 | |
| 14 | 2004 | 19 | |
| 15 | 2003 | 9 | |
| 16 | 2003 | 5 | |
| 17 | 2001 | 32 | |
| 18 | 2000 | 33 | |
| 19 | 1999 | 9 | |
| 20 | 1998 | 59 |
About K. Suguna
K. Suguna is a scholar working on Endocrinology, Molecular Biology, Organic Chemistry, Microbiology and Infectious Diseases, having authored 99 papers that have together received 2.2k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (35 papers), Enzyme Structure and Function (22 papers), Protein Structure and Dynamics (19 papers), Carbohydrate Chemistry and Synthesis (19 papers), Escherichia coli research studies (10 papers), RNA and protein synthesis mechanisms (9 papers), Viral gastroenteritis research and epidemiology (9 papers) and Bacteriophages and microbial interactions (9 papers). The work is most often cited by research in Biotechnology (211 citations), Molecular Biology (1.6k citations), Organic Chemistry (639 citations), Immunology (343 citations) and Infectious Diseases (277 citations). K. Suguna has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Avadhesha Surolia, M. Vijayan, Eduardo A. Padlan, Namita Surolia, D. Rhodri Davies, William D. Carlson, Clark W. Smith, E. Subramanian, R. Ravishankar and Kalyan Das. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Journal of Molecular Biology, IUBMB Life, Scientific Reports 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.