Asis Das
Impact in
- Endocrinology top 2%
- Diphtheria, Corynebacterium, and Tetanus
- Microbiology top 5%
Papers in
-
- Biochemical and Structural Characterization 26
- RNA and protein synthesis mechanisms 21
- Genomics and Phylogenetic Studies 6
- RNA Research and Splicing 5
- Genetics 20
- Bacterial Genetics and Biotechnology 19
- Co-authors
- Hung Ton‐That (34 shared papers)Anjali Mandlik (5 shared papers)David W. Lazinski (3 shared papers)Chenggang Wu (14 shared papers)Arunima Mishra (5 shared papers)Chungyu Chang (19 shared papers)John O. Cisar (4 shared papers)Harrison Echols (1 shared paper)
- Journals
- Molecular Microbiology (8 papers)Proceedings of the National Academy of Sciences (8 papers)mBio (7 papers)Journal of Bacteriology (4 papers)Cell (4 papers)
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
Asis Das
68 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 101
- Endocrinology 301
- Microbiology 29
- Periodontics 158
- Molecular Biology 2.3k
- Genetics 847
Countries citing papers authored by Asis Das
This map shows the geographic impact of Asis Das'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 Asis Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asis Das more than expected).
Fields of papers citing papers by Asis Das
This network shows the impact of papers produced by Asis Das. 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 Asis Das. The network helps show where Asis Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Asis Das, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 377 | |
| 2 | 2008 | 336 | |
| 3 | 1982 | 201 | |
| 4 | 2007 | 148 | |
| 5 | 1987 | 123 | |
| 6 | 2008 | 112 | |
| 7 | 2007 | 104 | |
| 8 | 2007 | 91 | |
| 9 | 2000 | 89 | |
| 10 | 1984 | 77 | |
| 11 | 2010 | 76 | |
| 12 | 1997 | 63 | |
| 13 | 2011 | 54 | |
| 14 | 1987 | 51 | |
| 15 | 1997 | 50 | |
| 16 | 2011 | 49 | |
| 17 | 2021 | 48 | |
| 18 | 2014 | 47 | |
| 19 | 2014 | 47 | |
| 20 | 1990 | 45 |
About Asis Das
Asis Das is a scholar working on Molecular Biology, Genetics, Public Health, Environmental and Occupational Health, Ecology and Periodontics, having authored 68 papers that have together received 3.0k indexed citations. Recurring topics across this work include Biochemical and Structural Characterization (26 papers), RNA and protein synthesis mechanisms (21 papers), Bacterial Genetics and Biotechnology (19 papers), Streptococcal Infections and Treatments (16 papers), Bacteriophages and microbial interactions (10 papers), Oral microbiology and periodontitis research (6 papers), Genomics and Phylogenetic Studies (6 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Endocrinology (301 citations), Microbiology (29 citations), Periodontics (158 citations), Molecular Biology (2.3k citations) and Genetics (847 citations). Asis Das has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Hung Ton‐That, Anjali Mandlik, David W. Lazinski, Chenggang Wu, Arunima Mishra, Chungyu Chang, John O. Cisar, Harrison Echols, David Knight and Krystyna I. Wolska. Their work appears in journals such as Molecular Microbiology, Proceedings of the National Academy of Sciences, mBio, Journal of Bacteriology and Cell.
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.