Anath Das
Impact in
- Endocrinology top 2%
- Escherichia coli research studies
- Biotechnology top 1%
- Transgenic Plants and Applications
Papers in
-
- Legume Nitrogen Fixing Symbiosis 11
- Plant nutrient uptake and metabolism 6
- Plant Genetic and Mutation Studies 5
-
- Transgenic Plants and Applications 7
- Co-authors
- Gregory J. Pazour (7 shared papers)Yonghong Xie (3 shared papers)Lorraine Anderson (2 shared papers)Christopher N. Ta (2 shared papers)Ann Vogel Hertzel (1 shared paper)Marc J. Orbach (1 shared paper)Partha Pratim Sen (1 shared paper)John N. Galgiani (1 shared paper)
- Journals
- Journal of Bacteriology (10 papers)Molecular Microbiology (5 papers)Nucleic Acids Research (4 papers)Proceedings of the National Academy of Sciences (2 papers)Microbiology (1 paper)
- Partner nations
- United StatesRussia
In The Last Decade
Anath Das
30 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 56
- Endocrinology 260
- Biotechnology 429
- Molecular Medicine 129
- Plant Science 743
- Molecular Biology 1.1k
Countries citing papers authored by Anath Das
This map shows the geographic impact of Anath 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 Anath Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anath Das more than expected).
Fields of papers citing papers by Anath Das
This network shows the impact of papers produced by Anath 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 Anath Das. The network helps show where Anath Das may publish in the future.
Co-authors
The 17 scholars most cited alongside Anath 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 156 | |
| 2 | 2000 | 111 | |
| 3 | 2000 | 103 | |
| 4 | 1996 | 98 | |
| 5 | 2002 | 90 | |
| 6 | 1996 | 89 | |
| 7 | 2000 | 88 | |
| 8 | 1989 | 83 | |
| 9 | 1998 | 81 | |
| 10 | 1992 | 76 | |
| 11 | 1992 | 74 | |
| 12 | 2004 | 55 | |
| 13 | 1990 | 54 | |
| 14 | 2010 | 53 | |
| 15 | 1997 | 50 | |
| 16 | 1990 | 49 | |
| 17 | 1991 | 43 | |
| 18 | 1989 | 38 | |
| 19 | 1994 | 33 | |
| 20 | 2001 | 31 |
About Anath Das
Anath Das is a scholar working on Plant Science, Biotechnology, Molecular Biology, Genetics and Endocrinology, having authored 30 papers that have together received 1.6k indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (29 papers), Legume Nitrogen Fixing Symbiosis (11 papers), Transgenic Plants and Applications (7 papers), Plant nutrient uptake and metabolism (6 papers), Plant Genetic and Mutation Studies (5 papers), Photosynthetic Processes and Mechanisms (4 papers), Bacterial Genetics and Biotechnology (4 papers) and DNA Repair Mechanisms (4 papers). The work is most often cited by research in Endocrinology (260 citations), Biotechnology (429 citations), Molecular Medicine (129 citations), Plant Science (743 citations) and Molecular Biology (1.1k citations). Anath Das has collaborated with scholars based in United States and Russia. Frequent co-authors include Gregory J. Pazour, Yonghong Xie, Lorraine Anderson, Christopher N. Ta, Ann Vogel Hertzel, Marc J. Orbach, Partha Pratim Sen, John N. Galgiani, Dwight Anderson and M. Alejandra Mandel. Their work appears in journals such as Journal of Bacteriology, Molecular Microbiology, Nucleic Acids Research, Proceedings of the National Academy of Sciences and Microbiology.
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.