Supriya Khedkar
Impact in
- Plant Science top 5%
- Plant Molecular Biology Research
- Plant-Microbe Interactions and Immunity
- Plant Stress Responses and Tolerance
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies
- Plant Gene Expression Analysis
- Photosynthetic Processes and Mechanisms
Papers in
-
- Genomics and Phylogenetic Studies 4
- RNA and protein synthesis mechanisms 3
- Machine Learning in Bioinformatics 1
- Bacterial biofilms and quorum sensing 1
- Ecology 6
- Bacteriophages and microbial interactions 5
- Co-authors
- Peer Bork (5 shared papers)Ivica Letunić (3 shared papers)Aswin Sai Narain Seshasayee (6 shared papers)Luís Pedro Coelho (3 shared papers)Askarbek Orakov (3 shared papers)Thomas Schmidt (3 shared papers)Damian Szklarczyk (1 shared paper)Anthony Fullam (3 shared papers)
- Journals
- Nucleic Acids Research (3 papers)Journal of Bacteriology (2 papers)Nature Communications (1 paper)mSphere (1 paper)Genome biology (1 paper)
- Partner nations
- GermanyIndiaSwitzerland
In The Last Decade
Supriya Khedkar
9 papers receiving 1.6k citations
Supriya Khedkar's Hit Papers
Peers
Comparison fields: 5 of 106
- Plant Science 588
- Molecular Biology 1.1k
- Molecular Medicine 56
- Endocrinology 53
- Ecology 239
Countries citing papers authored by Supriya Khedkar
This map shows the geographic impact of Supriya Khedkar'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 Supriya Khedkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Supriya Khedkar more than expected).
Fields of papers citing papers by Supriya Khedkar
This network shows the impact of papers produced by Supriya Khedkar. 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 Supriya Khedkar. The network helps show where Supriya Khedkar may publish in the future.
Co-authors
The 25 scholars most cited alongside Supriya Khedkar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | SMART: recent updates, new developments and status in 2020 Hit paper breakdown → | 2020 | 1259 |
| 2 | 2021 | 135 | |
| 3 | 2012 | 112 | |
| 4 | 2022 | 89 | |
| 5 | 2013 | 23 | |
| 6 | 2012 | 15 | |
| 7 | 2012 | 11 | |
| 8 | 2017 | 9 | |
| 9 | 2016 | 8 | |
| 10 | 2026 | 0 | |
| 11 | 2025 | 0 | |
| 12 | 2022 | 0 |
About Supriya Khedkar
Supriya Khedkar is a scholar working on Molecular Biology, Ecology, Infectious Diseases, Clinical Biochemistry and Genetics, having authored 12 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (5 papers), Genomics and Phylogenetic Studies (4 papers), Antimicrobial Resistance in Staphylococcus (3 papers), RNA and protein synthesis mechanisms (3 papers), Bacterial Genetics and Biotechnology (2 papers), Bacterial Identification and Susceptibility Testing (2 papers), Machine Learning in Bioinformatics (1 paper) and Bacterial biofilms and quorum sensing (1 paper). The work is most often cited by research in Plant Science (588 citations), Molecular Biology (1.1k citations), Molecular Medicine (56 citations), Endocrinology (53 citations) and Ecology (239 citations). Supriya Khedkar has collaborated with scholars based in Germany, India and Switzerland. Frequent co-authors include Peer Bork, Ivica Letunić, Aswin Sai Narain Seshasayee, Luís Pedro Coelho, Askarbek Orakov, Thomas Schmidt, Damian Szklarczyk, Anthony Fullam, Daniel R. Mende and Vladimı́r Beneš. Their work appears in journals such as Nucleic Acids Research, Journal of Bacteriology, Nature Communications, mSphere and Genome biology.
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.