Geeta Ram
Impact in
- Microbiology top 5%
- Microbial infections and disease research
- Endocrinology top 5%
Papers in
- Ecology 13
- Bacteriophages and microbial interactions 13
-
- RNA and protein synthesis mechanisms 7
- Genomics and Phylogenetic Studies 3
- CRISPR and Genetic Engineering 3
- Co-authors
- Richard P. Novick (14 shared papers)John Chen (7 shared papers)José R. Penadés (7 shared papers)Hope F. Ross (4 shared papers)Nuria Quiles‐Puchalt (3 shared papers)Priyadarshan K. Damle (2 shared papers)Gail E. Christie (2 shared papers)Krishan Kumar (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)The ISME Journal (2 papers)Molecular Cell (1 paper)Gene (1 paper)Nature Microbiology (1 paper)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Geeta Ram
20 papers receiving 713 citations
Peers
Comparison fields: 5 of 60
- Microbiology 102
- Endocrinology 81
- Ecology 399
- Infectious Diseases 213
- Molecular Medicine 39
Countries citing papers authored by Geeta Ram
This map shows the geographic impact of Geeta Ram'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 Geeta Ram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geeta Ram more than expected).
Fields of papers citing papers by Geeta Ram
This network shows the impact of papers produced by Geeta Ram. 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 Geeta Ram. The network helps show where Geeta Ram may publish in the future.
Co-authors
The 25 scholars most cited alongside Geeta Ram, 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 | 2012 | 93 | |
| 2 | 2016 | 72 | |
| 3 | 2018 | 61 | |
| 4 | 2014 | 54 | |
| 5 | 2014 | 52 | |
| 6 | 2014 | 50 | |
| 7 | 2017 | 49 | |
| 8 | 2015 | 47 | |
| 9 | 2014 | 46 | |
| 10 | 2012 | 43 | |
| 11 | 2021 | 29 | |
| 12 | 2013 | 28 | |
| 13 | 2022 | 28 | |
| 14 | 2010 | 17 | |
| 15 | 2009 | 17 | |
| 16 | 2005 | 11 | |
| 17 | 2006 | 9 | |
| 18 | 2015 | 9 | |
| 19 | 2015 | 3 | |
| 20 | Apoptosis induced by avian reovirus | 2003 | 1 |
About Geeta Ram
Geeta Ram is a scholar working on Ecology, Molecular Biology, Infectious Diseases, Genetics and Microbiology, having authored 20 papers that have together received 719 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (13 papers), Bacterial Genetics and Biotechnology (7 papers), RNA and protein synthesis mechanisms (7 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Genomics and Phylogenetic Studies (3 papers), Viral gastroenteritis research and epidemiology (3 papers), CRISPR and Genetic Engineering (3 papers) and Cancer Mechanisms and Therapy (1 paper). The work is most often cited by research in Microbiology (102 citations), Endocrinology (81 citations), Ecology (399 citations), Infectious Diseases (213 citations) and Molecular Medicine (39 citations). Geeta Ram has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Richard P. Novick, John Chen, José R. Penadés, Hope F. Ross, Nuria Quiles‐Puchalt, Priyadarshan K. Damle, Gail E. Christie, Krishan Kumar, Pauline Yoong and Victor J. Torres. Their work appears in journals such as Proceedings of the National Academy of Sciences, The ISME Journal, Molecular Cell, Gene and Nature Microbiology.
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.