Utkarsh Sood
Impact in
Papers in
-
- Genomics and Phylogenetic Studies 8
- Gut microbiota and health 5
- Ecology 10
- Microbial Community Ecology and Physiology 6
- Bacteriophages and microbial interactions 3
- Co-authors
- Rup Lal (25 shared papers)Vipin Gupta (12 shared papers)Roshan Kumar (12 shared papers)Princy Hira (7 shared papers)Mona Singh (3 shared papers)Joy Scaria (1 shared paper)Roshan Kumar (1 shared paper)Mallikarjun Shakarad (4 shared papers)
- Journals
- mSystems (4 papers)INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY (3 papers)Frontiers in Microbiology (2 papers)Scientific Reports (1 paper)Microbial Biotechnology (1 paper)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Utkarsh Sood
26 papers receiving 631 citations
Utkarsh Sood's Hit Papers
Peers
Comparison fields: 5 of 111
- Pollution 65
- Ecology 137
- Molecular Biology 364
- Infectious Diseases 97
- Food Science 80
Countries citing papers authored by Utkarsh Sood
This map shows the geographic impact of Utkarsh Sood'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 Utkarsh Sood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Utkarsh Sood more than expected).
Fields of papers citing papers by Utkarsh Sood
This network shows the impact of papers produced by Utkarsh Sood. 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 Utkarsh Sood. The network helps show where Utkarsh Sood may publish in the future.
Co-authors
The 25 scholars most cited alongside Utkarsh Sood, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | DNA barcoding, an effective tool for species identification: a review Hit paper breakdown → | 2022 | 143 |
| 2 | 2019 | 93 | |
| 3 | 2020 | 52 | |
| 4 | 2017 | 52 | |
| 5 | 2019 | 48 | |
| 6 | 2019 | 34 | |
| 7 | 2019 | 30 | |
| 8 | 2021 | 23 | |
| 9 | 2018 | 22 | |
| 10 | 2016 | 20 | |
| 11 | 2021 | 19 | |
| 12 | 2020 | 12 | |
| 13 | 2023 | 12 | |
| 14 | 2021 | 12 | |
| 15 | 2021 | 12 | |
| 16 | 2019 | 11 | |
| 17 | 2019 | 9 | |
| 18 | 2020 | 7 | |
| 19 | 2021 | 7 | |
| 20 | 2020 | 7 |
About Utkarsh Sood
Utkarsh Sood is a scholar working on Molecular Biology, Ecology, Plant Science, Pollution and Molecular Medicine, having authored 28 papers that have together received 641 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Microbial Community Ecology and Physiology (6 papers), Gut microbiota and health (5 papers), Antibiotic Resistance in Bacteria (4 papers), Microbial bioremediation and biosurfactants (3 papers), Microbial Natural Products and Biosynthesis (3 papers), Bacteriophages and microbial interactions (3 papers) and Plant-Microbe Interactions and Immunity (2 papers). The work is most often cited by research in Pollution (65 citations), Ecology (137 citations), Molecular Biology (364 citations), Infectious Diseases (97 citations) and Food Science (80 citations). Utkarsh Sood has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Rup Lal, Vipin Gupta, Roshan Kumar, Princy Hira, Mona Singh, Joy Scaria, Roshan Kumar, Mallikarjun Shakarad, Ravi Toteja and S. Sripoorna. Their work appears in journals such as mSystems, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Frontiers in Microbiology, Scientific Reports and Microbial Biotechnology.
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.