Reena Arora
Impact in
- Genetics top 2%
- Genetic and phenotypic traits in livestock
- Genetic diversity and population structure
- Genetic Mapping and Diversity in Plants and Animals
- Agronomy and Crop Science top 5%
- Livestock Management and Performance Improvement
Papers in
- Genetics 81
- Genetic and phenotypic traits in livestock 67
- Genetic diversity and population structure 31
- Genetic Mapping and Diversity in Plants and Animals 23
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- Livestock Management and Performance Improvement 20
- Co-authors
- Sabhyata Bhatia (14 shared papers)Sonika Ahlawat (68 shared papers)Rekha Sharma (44 shared papers)M. S. Tantia (15 shared papers)Ramesh Kumar Vijh (22 shared papers)Mandeep Kaur (18 shared papers)Bishnu Prasad Mishra (3 shared papers)R. K. Vijh (12 shared papers)
- Journals
- Gene (10 papers)Mammalian Genome (8 papers)Scientific Reports (5 papers)Small Ruminant Research (5 papers)Livestock Science (4 papers)
- Partner nations
- IndiaNew ZealandJapan
In The Last Decade
Reena Arora
110 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 90
- Genetics 737
- Agronomy and Crop Science 213
- Animal Science and Zoology 120
- Urology 66
- Cancer Research 152
Countries citing papers authored by Reena Arora
This map shows the geographic impact of Reena Arora'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 Reena Arora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reena Arora more than expected).
Fields of papers citing papers by Reena Arora
This network shows the impact of papers produced by Reena Arora. 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 Reena Arora. The network helps show where Reena Arora may publish in the future.
Co-authors
The 25 scholars most cited alongside Reena Arora, 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 126 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 72 | |
| 2 | 2012 | 66 | |
| 3 | 2009 | 46 | |
| 4 | 2016 | 43 | |
| 5 | 2006 | 42 | |
| 6 | 2019 | 39 | |
| 7 | 2005 | 36 | |
| 8 | 2011 | 36 | |
| 9 | 2020 | 35 | |
| 10 | 2004 | 35 | |
| 11 | 2015 | 34 | |
| 12 | 2020 | 33 | |
| 13 | 2019 | 28 | |
| 14 | 2020 | 28 | |
| 15 | 2014 | 25 | |
| 16 | 2011 | 23 | |
| 17 | 2006 | 22 | |
| 18 | 2010 | 20 | |
| 19 | 2021 | 19 | |
| 20 | 2021 | 19 |
About Reena Arora
Reena Arora is a scholar working on Genetics, Agronomy and Crop Science, Cancer Research, Animal Science and Zoology and Ecology, Evolution, Behavior and Systematics, having authored 126 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (67 papers), Genetic diversity and population structure (31 papers), Genetic Mapping and Diversity in Plants and Animals (23 papers), Livestock Management and Performance Improvement (20 papers), Cancer-related molecular mechanisms research (18 papers), Agricultural Systems and Practices (12 papers), Animal Nutrition and Physiology (7 papers) and Silkworms and Sericulture Research (6 papers). The work is most often cited by research in Genetics (737 citations), Agronomy and Crop Science (213 citations), Animal Science and Zoology (120 citations), Urology (66 citations) and Cancer Research (152 citations). Reena Arora has collaborated with scholars based in India, New Zealand and Japan. Frequent co-authors include Sabhyata Bhatia, Sonika Ahlawat, Rekha Sharma, M. S. Tantia, Ramesh Kumar Vijh, Mandeep Kaur, Bishnu Prasad Mishra, R. K. Vijh, Upasna Sharma and Bina Mishra. Their work appears in journals such as Gene, Mammalian Genome, Scientific Reports, Small Ruminant Research and Livestock Science.
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.