Ritesh Krishna
Impact in
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Parasitology top 10%
Papers in
-
- Genomics and Phylogenetic Studies 8
- Machine Learning in Bioinformatics 6
- Bioinformatics and Genomic Networks 4
- Ecology 7
- Microbial Community Ecology and Physiology 3
- Co-authors
- Andrew R. Jones (7 shared papers)Fawaz Ghali (5 shared papers)Dong Xia (4 shared papers)Jonathan M. Wastling (4 shared papers)Laura‐Jayne Gardiner (8 shared papers)Juan Antonio Vizcaíno (2 shared papers)Florian Reisinger (2 shared papers)Henning Hermjakob (2 shared papers)
- Journals
- PROTEOMICS (5 papers)Molecular & Cellular Proteomics (2 papers)iScience (1 paper)Scientific Reports (1 paper)Parasitology (1 paper)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Ritesh Krishna
27 papers receiving 357 citations
Peers
Comparison fields: 5 of 82
- Spectroscopy 109
- Parasitology 32
- Cancer Research 52
- Molecular Biology 206
- Ecological Modeling 11
Countries citing papers authored by Ritesh Krishna
This map shows the geographic impact of Ritesh Krishna'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 Ritesh Krishna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ritesh Krishna more than expected).
Fields of papers citing papers by Ritesh Krishna
This network shows the impact of papers produced by Ritesh Krishna. 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 Ritesh Krishna. The network helps show where Ritesh Krishna may publish in the future.
Co-authors
The 25 scholars most cited alongside Ritesh Krishna, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 50 | |
| 2 | 2014 | 32 | |
| 3 | 2013 | 32 | |
| 4 | 2016 | 27 | |
| 5 | 2012 | 26 | |
| 6 | 2020 | 24 | |
| 7 | 2016 | 22 | |
| 8 | 2011 | 15 | |
| 9 | 2012 | 15 | |
| 10 | 2021 | 14 | |
| 11 | 2020 | 13 | |
| 12 | 2015 | 13 | |
| 13 | 2022 | 12 | |
| 14 | 2021 | 8 | |
| 15 | 2010 | 8 | |
| 16 | 2009 | 8 | |
| 17 | 2018 | 8 | |
| 18 | 2014 | 7 | |
| 19 | 2018 | 6 | |
| 20 | 2012 | 6 |
About Ritesh Krishna
Ritesh Krishna is a scholar working on Molecular Biology, Ecology, Spectroscopy, Plant Science and Information Systems and Management, having authored 27 papers that have together received 363 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Machine Learning in Bioinformatics (6 papers), Advanced Proteomics Techniques and Applications (6 papers), Bioinformatics and Genomic Networks (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Insect symbiosis and bacterial influences (3 papers), Scientific Computing and Data Management (3 papers) and Microbial Community Ecology and Physiology (3 papers). The work is most often cited by research in Spectroscopy (109 citations), Parasitology (32 citations), Cancer Research (52 citations), Molecular Biology (206 citations) and Ecological Modeling (11 citations). Ritesh Krishna has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Andrew R. Jones, Fawaz Ghali, Dong Xia, Jonathan M. Wastling, Laura‐Jayne Gardiner, Juan Antonio Vizcaíno, Florian Reisinger, Henning Hermjakob, Jenny A. Hodgson and Stephen J. Cornell. Their work appears in journals such as PROTEOMICS, Molecular & Cellular Proteomics, iScience, Scientific Reports and Parasitology.
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.