Sumanta Basu
Impact in
- Endocrinology top 10%
- Escherichia coli research studies
Papers in
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- Glycosylation and Glycoproteins Research 11
-
- Carbohydrate Chemistry and Synthesis 17
- Co-authors
- George Michailidis (10 shared papers)James B. Brown (2 shared papers)Bin Yu (1 shared paper)Karl Kumbier (2 shared papers)Abhijit Chakrabarti (9 shared papers)Charles Burant (1 shared paper)William L. Duren (1 shared paper)Charles R. Evans (1 shared paper)
- Journals
- Carbohydrate Research (9 papers)Proceedings of the National Academy of Sciences (3 papers)Blood Cells Molecules and Diseases (2 papers)European Journal of Biochemistry (2 papers)PROTEOMICS - CLINICAL APPLICATIONS (2 papers)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Sumanta Basu
58 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 170
- Endocrinology 66
- Computational Mathematics 4
- Physiology 176
- Genetics 71
- Statistics and Probability 54
Countries citing papers authored by Sumanta Basu
This map shows the geographic impact of Sumanta Basu'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 Sumanta Basu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumanta Basu more than expected).
Fields of papers citing papers by Sumanta Basu
This network shows the impact of papers produced by Sumanta Basu. 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 Sumanta Basu. The network helps show where Sumanta Basu may publish in the future.
Co-authors
The 25 scholars most cited alongside Sumanta Basu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 191 | |
| 2 | 2017 | 185 | |
| 3 | 2013 | 48 | |
| 4 | 2021 | 44 | |
| 5 | 2019 | 40 | |
| 6 | 2020 | 36 | |
| 7 | 2010 | 36 | |
| 8 | 2009 | 36 | |
| 9 | 1986 | 34 | |
| 10 | 2006 | 30 | |
| 11 | Network Granger Causality with Inherent Grouping Structure. | 2015 | 27 |
| 12 | 2021 | 25 | |
| 13 | 2008 | 24 | |
| 14 | 1999 | 23 | |
| 15 | 1987 | 20 | |
| 16 | 1995 | 19 | |
| 17 | 1987 | 19 | |
| 18 | 2010 | 18 | |
| 19 | 2016 | 17 | |
| 20 | 2018 | 15 |
About Sumanta Basu
Sumanta Basu is a scholar working on Molecular Biology, Organic Chemistry, Finance, Physiology and Economics and Econometrics, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (17 papers), Glycosylation and Glycoproteins Research (11 papers), Erythrocyte Function and Pathophysiology (9 papers), Complex Systems and Time Series Analysis (8 papers), Hemoglobinopathies and Related Disorders (7 papers), Financial Risk and Volatility Modeling (5 papers), Escherichia coli research studies (5 papers) and Statistical Methods and Inference (4 papers). The work is most often cited by research in Endocrinology (66 citations), Computational Mathematics (4 citations), Physiology (176 citations), Genetics (71 citations) and Statistics and Probability (54 citations). Sumanta Basu has collaborated with scholars based in India, United States and Germany. Frequent co-authors include George Michailidis, James B. Brown, Bin Yu, Karl Kumbier, Abhijit Chakrabarti, Charles Burant, William L. Duren, Charles R. Evans, Alla Karnovsky and Debasis Banerjee. Their work appears in journals such as Carbohydrate Research, Proceedings of the National Academy of Sciences, Blood Cells Molecules and Diseases, European Journal of Biochemistry and PROTEOMICS - CLINICAL APPLICATIONS.
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.