Sushil Kumar
Impact in
- Pollution top 10%
- Pesticide and Herbicide Environmental Studies
- Building and Construction top 5%
- Anaerobic Digestion and Biogas Production
Papers in
-
- RNA and protein synthesis mechanisms 5
- DNA Repair Mechanisms 4
- Genetics 12
- Bacterial Genetics and Biotechnology 8
- Co-authors
- Waclaw Szybalski (4 shared papers)Rose Lai (1 shared paper)K. G. Mukerji (1 shared paper)M. C. Jain (4 shared papers)Patrick C. Swanson (5 shared papers)Zdeňka Hradečná (2 shared papers)A.T. Natarajan (1 shared paper)M. S. Swaminathan (2 shared papers)
- Journals
- PLoS ONE (4 papers)Bioresource Technology (3 papers)Nucleic Acids Research (2 papers)BMC Infectious Diseases (2 papers)Nature (2 papers)
- Partner nations
- IndiaUnited StatesSouth Africa
In The Last Decade
Sushil Kumar
47 papers receiving 948 citations
Peers
Comparison fields: 5 of 103
- Pollution 129
- Building and Construction 119
- Energy Engineering and Power Technology 24
- Molecular Biology 503
- Genetics 199
Countries citing papers authored by Sushil Kumar
This map shows the geographic impact of Sushil Kumar'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 Sushil Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sushil Kumar more than expected).
Fields of papers citing papers by Sushil Kumar
This network shows the impact of papers produced by Sushil Kumar. 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 Sushil Kumar. The network helps show where Sushil Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Sushil Kumar, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 105 | |
| 2 | 1996 | 98 | |
| 3 | 1976 | 80 | |
| 4 | 1969 | 77 | |
| 5 | 1969 | 74 | |
| 6 | 2008 | 43 | |
| 7 | 2015 | 42 | |
| 8 | 1987 | 41 | |
| 9 | 2004 | 37 | |
| 10 | 2011 | 34 | |
| 11 | 1966 | 33 | |
| 12 | 1967 | 32 | |
| 13 | 2009 | 27 | |
| 14 | 2001 | 25 | |
| 15 | Biogas Technology: towards sustainable development | 2011 | 25 |
| 16 | 1970 | 24 | |
| 17 | 1969 | 24 | |
| 18 | 2009 | 17 | |
| 19 | 2014 | 15 | |
| 20 | 2011 | 14 |
About Sushil Kumar
Sushil Kumar is a scholar working on Molecular Biology, Genetics, Plant Science, Ecology and Immunology, having authored 48 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (8 papers), RNA and protein synthesis mechanisms (5 papers), Bacteriophages and microbial interactions (5 papers), DNA Repair Mechanisms (4 papers), Anaerobic Digestion and Biogas Production (4 papers), Tuberculosis Research and Epidemiology (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Pollution (129 citations), Building and Construction (119 citations), Energy Engineering and Power Technology (24 citations), Molecular Biology (503 citations) and Genetics (199 citations). Sushil Kumar has collaborated with scholars based in India, United States and South Africa. Frequent co-authors include Waclaw Szybalski, Rose Lai, K. G. Mukerji, M. C. Jain, Patrick C. Swanson, Zdeňka Hradečná, A.T. Natarajan, M. S. Swaminathan, P. K. Chhonkar and Veronica M. Maher. Their work appears in journals such as PLoS ONE, Bioresource Technology, Nucleic Acids Research, BMC Infectious Diseases and Nature.
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.