Sushil Kumar

1.3k citations
49 papers · 1.0k · h-index 18

Impact in

Papers in

    • RNA and protein synthesis mechanisms 6
    • DNA Repair Mechanisms 4
    • Bacterial Genetics and Biotechnology 8

Sushil Kumar

48 papers receiving 943 citations

Peers

Sushil Kumar
Comparison fields: 5 of 104
  • Pollution 132
  • Building and Construction 122
  • Energy Engineering and Power Technology 24
  • Molecular Biology 507
  • Genetics 202
Replace Laurence Girbal with:
Laurence Girbal France
О. N. Ilinskaya Russia
Arnim Wiezer Germany
Syed Shams Yazdani India
Mohammad Hossein Morowvat Iran
Wei Yan China
Calvin A. Henard United States
Bryan P. Tracy United States
Jörk Nölling United States
Adnan Hasona United States
Sushil Kumar relative to Laurence Girbal France Laurence Girbal's profile →
Citations per field
00.5×1.5×
Laurence Girbal · 1×
Citations per year

Countries citing papers authored by Sushil Kumar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Sushil Kumar Line = papers co-authored together Sushil Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007105
2 199698
3 197680
4 196977
5 196974
6 200842
7 198741
8 201539
9 200436
10 196633
11 201132
12 196732
13 200927
14 200125
15
Biogas Technology: towards sustainable development
201125
16 197024
17 196924
18 200917
19 201415
20 201114

About Sushil Kumar

Sushil Kumar is a scholar working on Molecular Biology, Genetics, Plant Science, Ecology and Immunology, having authored 49 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 (6 papers), Bacteriophages and microbial interactions (5 papers), Tuberculosis Research and Epidemiology (5 papers), Anaerobic Digestion and Biogas Production (4 papers), DNA Repair Mechanisms (4 papers), Mycobacterium research and diagnosis (4 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Pollution (132 citations), Building and Construction (122 citations), Energy Engineering and Power Technology (24 citations), Molecular Biology (507 citations) and Genetics (202 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, P. K. Chhonkar, M. S. Swaminathan and Arabinda Guha. Their work appears in journals such as PLoS ONE, Bioresource Technology, Nature, BMC Infectious Diseases and Nucleic Acids 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.

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