Dheer Singh
Impact in
- Agronomy and Crop Science top 2%
- Reproductive Physiology in Livestock
- Cancer Research top 5%
- MicroRNA in disease regulation
Papers in
-
- Reproductive Physiology in Livestock 30
- Co-authors
- Suneel Kumar Onteru (61 shared papers)Payal Rani (12 shared papers)Monika Vashisht (3 shared papers)Manoj Kumar (5 shared papers)Shruti Shandilya (4 shared papers)Varij Nayan (12 shared papers)S. Srikanth (3 shared papers)Vijay Simha Baddela (7 shared papers)
- Journals
- Gene (6 papers)General and Comparative Endocrinology (5 papers)Chromatographia (5 papers)Reproduction in Domestic Animals (4 papers)Reproductive Biology (4 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Dheer Singh
143 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 133
- Agronomy and Crop Science 355
- Cancer Research 403
- Reproductive Medicine 126
- Environmental Engineering 193
- Molecular Biology 847
Countries citing papers authored by Dheer Singh
This map shows the geographic impact of Dheer 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 Dheer Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dheer Singh more than expected).
Fields of papers citing papers by Dheer Singh
This network shows the impact of papers produced by Dheer 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 Dheer Singh. The network helps show where Dheer Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Dheer Singh, 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 151 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 186 | |
| 2 | 2009 | 144 | |
| 3 | 2018 | 112 | |
| 4 | 2017 | 101 | |
| 5 | 2002 | 90 | |
| 6 | 2015 | 86 | |
| 7 | 2017 | 80 | |
| 8 | 2016 | 78 | |
| 9 | 2021 | 70 | |
| 10 | 2017 | 59 | |
| 11 | 2019 | 48 | |
| 12 | 2004 | 39 | |
| 13 | 2011 | 39 | |
| 14 | 2017 | 35 | |
| 15 | 2017 | 35 | |
| 16 | 2016 | 35 | |
| 17 | 2014 | 33 | |
| 18 | 2014 | 30 | |
| 19 | 2011 | 30 | |
| 20 | 2009 | 27 |
About Dheer Singh
Dheer Singh is a scholar working on Molecular Biology, Agronomy and Crop Science, Genetics, Plant Science and Cancer Research, having authored 151 papers that have together received 2.3k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (30 papers), Reproductive Biology and Fertility (19 papers), Genetic and phenotypic traits in livestock (18 papers), Animal Genetics and Reproduction (15 papers), MicroRNA in disease regulation (14 papers), Cancer-related molecular mechanisms research (13 papers), Agricultural Science and Fertilization (10 papers) and Reproductive System and Pregnancy (10 papers). The work is most often cited by research in Agronomy and Crop Science (355 citations), Cancer Research (403 citations), Reproductive Medicine (126 citations), Environmental Engineering (193 citations) and Molecular Biology (847 citations). Dheer Singh has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Suneel Kumar Onteru, Payal Rani, Monika Vashisht, Manoj Kumar, Shruti Shandilya, Varij Nayan, S. Srikanth, Vijay Simha Baddela, Tirtha Kumar Datta and S.K. Puri. Their work appears in journals such as Gene, General and Comparative Endocrinology, Chromatographia, Reproduction in Domestic Animals and Reproductive 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.