Arnab Basu
Impact in
- Endocrinology top 0.5%
- Vibrio bacteria research studies
- Hepatology top 2%
- Hepatitis C virus research
Papers in
-
- Vibrio bacteria research studies 12
- Hepatology 13
- Hepatitis C virus research 12
- Co-authors
- Keith Meyer (12 shared papers)Ranjit Ray (9 shared papers)Mee-Ngan Frances Yap (5 shared papers)Ratna B. Ray (10 shared papers)Sujit Bhattacharya (7 shared papers)Gopinath Balakrish Nair (7 shared papers)Asish Kumar Mukhopadhyay (6 shared papers)Soumen Chakraborty (3 shared papers)
- Journals
- Virology (7 papers)Journal of Drug Delivery Science and Technology (4 papers)Journal of Clinical Microbiology (4 papers)Journal of Bacteriology (3 papers)Virus Research (2 papers)
- Partner nations
- IndiaUnited StatesJapan
In The Last Decade
Arnab Basu
51 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 69
- Endocrinology 672
- Hepatology 446
- Molecular Medicine 55
- Molecular Biology 325
- Infectious Diseases 71
Countries citing papers authored by Arnab Basu
This map shows the geographic impact of Arnab 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 Arnab Basu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arnab Basu more than expected).
Fields of papers citing papers by Arnab Basu
This network shows the impact of papers produced by Arnab 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 Arnab Basu. The network helps show where Arnab Basu may publish in the future.
Co-authors
The 25 scholars most cited alongside Arnab 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 259 | |
| 2 | 1998 | 133 | |
| 3 | 2010 | 89 | |
| 4 | 2006 | 86 | |
| 5 | 1996 | 85 | |
| 6 | 2017 | 72 | |
| 7 | 2006 | 69 | |
| 8 | 2016 | 63 | |
| 9 | 2000 | 62 | |
| 10 | 2017 | 58 | |
| 11 | 1996 | 55 | |
| 12 | 2001 | 54 | |
| 13 | 2000 | 50 | |
| 14 | 2003 | 47 | |
| 15 | 2002 | 46 | |
| 16 | 1997 | 43 | |
| 17 | 1998 | 41 | |
| 18 | 2004 | 36 | |
| 19 | 2002 | 32 | |
| 20 | 1998 | 29 |
About Arnab Basu
Arnab Basu is a scholar working on Endocrinology, Hepatology, Biomaterials, Microbiology and Molecular Medicine, having authored 53 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hepatitis C virus research (12 papers), Vibrio bacteria research studies (12 papers), RNA and protein synthesis mechanisms (7 papers), Nanoparticle-Based Drug Delivery (6 papers), Bacterial Genetics and Biotechnology (6 papers), Antimicrobial Peptides and Activities (3 papers), Antibiotic Resistance in Bacteria (3 papers) and Bacterial biofilms and quorum sensing (2 papers). The work is most often cited by research in Endocrinology (672 citations), Hepatology (446 citations), Molecular Medicine (55 citations), Molecular Biology (325 citations) and Infectious Diseases (71 citations). Arnab Basu has collaborated with scholars based in India, United States and Japan. Frequent co-authors include Keith Meyer, Ranjit Ray, Mee-Ngan Frances Yap, Ratna B. Ray, Sujit Bhattacharya, Gopinath Balakrish Nair, Asish Kumar Mukhopadhyay, Soumen Chakraborty, Rupak C. Mitra and Yoshifumi Takeda. Their work appears in journals such as Virology, Journal of Drug Delivery Science and Technology, Journal of Clinical Microbiology, Journal of Bacteriology and Virus Research.
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.