Debasis Mukherjee
Impact in
- Modeling and Simulation top 1%
- Fractional Differential Equations Solutions
- COVID-19 epidemiological studies
- Mathematical Biology Tumor Growth
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- Mathematical and Theoretical Epidemiology and Ecology Models
Papers in
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- Mathematical and Theoretical Epidemiology and Ecology Models 45
- Genetics 37
- Evolution and Genetic Dynamics 37
- Co-authors
- Anamika Das (9 shared papers)A. K. Sarkar (5 shared papers)Biswajit Mukherjee (5 shared papers)Abhijit Debnath (2 shared papers)Premasis Sukul (2 shared papers)Ankur Seth (1 shared paper)Aranyak Chakravarty (2 shared papers)Anil C. Anand (1 shared paper)
In The Last Decade
Debasis Mukherjee
81 papers receiving 856 citations
Peers
Comparison fields: 5 of 93
- Modeling and Simulation 236
- Public Health, Environmental and Occupational Health 529
- Genetics 348
- Soil Science 120
- Pollution 102
Countries citing papers authored by Debasis Mukherjee
This map shows the geographic impact of Debasis Mukherjee'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 Debasis Mukherjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debasis Mukherjee more than expected).
Fields of papers citing papers by Debasis Mukherjee
This network shows the impact of papers produced by Debasis Mukherjee. 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 Debasis Mukherjee. The network helps show where Debasis Mukherjee may publish in the future.
Co-authors
The 25 scholars most cited alongside Debasis Mukherjee, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 58 | |
| 2 | 2016 | 43 | |
| 3 | Hepatopulmonary syndrome: prevalence and clinical profile. | 2001 | 41 |
| 4 | 2002 | 39 | |
| 5 | 2020 | 35 | |
| 6 | 1995 | 33 | |
| 7 | 1994 | 32 | |
| 8 | 2003 | 30 | |
| 9 | Plankton diversity and dynamics in a polluted eutrophic lake, Ranchi | 2010 | 29 |
| 10 | 2017 | 29 | |
| 11 | 1998 | 27 | |
| 12 | 1998 | 27 | |
| 13 | 2020 | 27 | |
| 14 | 2013 | 27 | |
| 15 | 2002 | 26 | |
| 16 | 2003 | 25 | |
| 17 | 2010 | 24 | |
| 18 | 2005 | 23 | |
| 19 | 2000 | 18 | |
| 20 | Rhizosphere effect of herbicides on nitrogen fixing bacteria in relation to availability of nitrogen in rice soil | 2002 | 17 |
About Debasis Mukherjee
Debasis Mukherjee is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Modeling and Simulation, Sociology and Political Science and Plant Science, having authored 82 papers that have together received 941 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (45 papers), Evolution and Genetic Dynamics (37 papers), Evolutionary Game Theory and Cooperation (13 papers), COVID-19 epidemiological studies (7 papers), Nonlinear Dynamics and Pattern Formation (6 papers), Soil Carbon and Nitrogen Dynamics (6 papers), Animal Ecology and Behavior Studies (5 papers) and Agricultural Science and Fertilization (5 papers). The work is most often cited by research in Modeling and Simulation (236 citations), Public Health, Environmental and Occupational Health (529 citations), Genetics (348 citations), Soil Science (120 citations) and Pollution (102 citations). Debasis Mukherjee has collaborated with scholars based in India, Taiwan and China. Frequent co-authors include Anamika Das, A. K. Sarkar, Biswajit Mukherjee, Abhijit Debnath, Premasis Sukul, Ankur Seth, Aranyak Chakravarty, Anil C. Anand, Pritha Das and A.B. Roy. Their work appears in journals such as Bulletin of Environmental Contamination and Toxicology, Biosystems, Mathematical and Computer Modelling, Microbiological Research and Modeling Earth Systems and Environment.
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.