Ram Podicheti
Impact in
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
- Endocrinology top 5%
Papers in
-
- RNA modifications and cancer 7
- Genomics and Phylogenetic Studies 5
- Epigenetics and DNA Methylation 4
- Bacterial biofilms and quorum sensing 4
-
- Plant Molecular Biology Research 6
- Plant nutrient uptake and metabolism 3
- Co-authors
- Roger W. Innes (3 shared papers)Douglas B. Rusch (24 shared papers)Keithanne Mockaitis (6 shared papers)Hana Zand Karimi (1 shared paper)Blake C. Meyers (1 shared paper)Patricia Baldrich (1 shared paper)Brian D. Rutter (1 shared paper)Haixu Tang (4 shared papers)
- Journals
- mBio (4 papers)Bioinformatics (2 papers)Development (2 papers)PLANT PHYSIOLOGY (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesCanadaIsrael
In The Last Decade
Ram Podicheti
42 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 107
- Biochemistry 172
- Endocrinology 112
- Plant Science 666
- Molecular Biology 875
- Cancer Research 104
Countries citing papers authored by Ram Podicheti
This map shows the geographic impact of Ram Podicheti'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 Ram Podicheti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ram Podicheti more than expected).
Fields of papers citing papers by Ram Podicheti
This network shows the impact of papers produced by Ram Podicheti. 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 Ram Podicheti. The network helps show where Ram Podicheti may publish in the future.
Co-authors
The 25 scholars most cited alongside Ram Podicheti, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 221 | |
| 2 | 2015 | 200 | |
| 3 | 2013 | 168 | |
| 4 | 2010 | 90 | |
| 5 | 2014 | 85 | |
| 6 | 2015 | 82 | |
| 7 | 2023 | 57 | |
| 8 | 2012 | 56 | |
| 9 | 2017 | 44 | |
| 10 | 2017 | 44 | |
| 11 | 2014 | 40 | |
| 12 | 2017 | 37 | |
| 13 | 2021 | 33 | |
| 14 | 2016 | 32 | |
| 15 | 2012 | 31 | |
| 16 | 2019 | 30 | |
| 17 | 2022 | 27 | |
| 18 | 2019 | 24 | |
| 19 | 2017 | 23 | |
| 20 | 2022 | 21 |
About Ram Podicheti
Ram Podicheti is a scholar working on Molecular Biology, Plant Science, Endocrinology, Ecology and Immunology, having authored 46 papers that have together received 1.6k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (8 papers), RNA modifications and cancer (7 papers), Plant Molecular Biology Research (6 papers), Genomics and Phylogenetic Studies (5 papers), Aquaculture disease management and microbiota (5 papers), Epigenetics and DNA Methylation (4 papers), Bacterial biofilms and quorum sensing (4 papers) and Plant nutrient uptake and metabolism (3 papers). The work is most often cited by research in Biochemistry (172 citations), Endocrinology (112 citations), Plant Science (666 citations), Molecular Biology (875 citations) and Cancer Research (104 citations). Ram Podicheti has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Roger W. Innes, Douglas B. Rusch, Keithanne Mockaitis, Hana Zand Karimi, Blake C. Meyers, Patricia Baldrich, Brian D. Rutter, Haixu Tang, Craig S. Pikaard and Todd Blevins. Their work appears in journals such as mBio, Bioinformatics, Development, PLANT PHYSIOLOGY and Proceedings of the National Academy of Sciences.
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.