Rama S. Singh
- Genetics top 0.5%
- Ecology, Evolution, Behavior and Systematics top 0.5%
- Molecular Biology top 10%
- Insect Science top 0.5%
- Plant Science top 5%
- Co-authors
- Rob J. KulathinalSantosh JagadeeshanAlberto CivettaLorenz R. RhombergLawrence R. HaleDara G. TorgersonWilfried HaertyMichael B. Coulthart
- Topics
- Genetic diversity and population structure (48 papers)Plant and animal studies (25 papers)Animal Behavior and Reproduction (23 papers)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Rama S. Singh
111 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 113
- Genetics 2.1k
- Ecology, Evolution, Behavior and Systematics 1.2k
- Molecular Biology 1.1k
- Insect Science 752
- Plant Science 506
Countries citing papers authored by Rama S. Singh
This map shows the geographic impact of Rama S. Singh'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 Rama S. Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rama S. Singh more than expected).
Fields of papers citing papers by Rama S. Singh
This network shows the impact of papers produced by Rama S. Singh. 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 Rama S. Singh. The network helps show where Rama S. Singh may publish in the future.
Co-authorship network of co-authors of Rama S. Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Rama S. Singh. A scholar is included among the top collaborators of Rama S. Singh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rama S. Singh. Rama S. Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 15 | |
| 7 | 3 | |
| 8 | 14 | |
| 9 | 21 | |
| 10 | 36 | |
| 11 | Further analysis of coat protein gene sequences of Tobacco streak virus isolates from diverse locations and hosts in India | 1 |
| 12 | 44 | |
| 13 | 90 | |
| 14 | 13 | |
| 15 | 185 | |
| 16 | 4 | |
| 17 | 63 | |
| 18 | 49 | |
| 19 | 17 | |
| 20 | 18 |
About Rama S. Singh
Rama S. Singh is a scholar working on Insect Science, Genetics and Ecology, Evolution, Behavior and Systematics, having authored 112 papers that have together received 3.4k indexed citations. Recurring topics across this work include Genetic diversity and population structure (48 papers), Plant and animal studies (25 papers) and Animal Behavior and Reproduction (23 papers). The work is most often cited by research in Genetics (2.1k citations), Ecology, Evolution, Behavior and Systematics (1.2k citations) and Aging (108 citations). Rama S. Singh has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Rob J. Kulathinal, Santosh Jagadeeshan, Alberto Civetta, Lorenz R. Rhomberg, Lawrence R. Hale, Dara G. Torgerson, Wilfried Haerty, Michael B. Coulthart, Richard C Lewontin and Carlo G. Artieri. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Trends in Ecology & Evolution.
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.