Isha Datar
Impact in
- Animal Science and Zoology top 5%
- Meat and Animal Product Quality
- Ecology top 10%
- Agriculture Sustainability and Environmental Impact
Papers in
- Ecology 2
- Agriculture Sustainability and Environmental Impact 2
-
- Meat and Animal Product Quality 2
- Co-authors
- Marco Betti (1 shared paper)Dwayne Holmes (2 shared papers)David L. Kaplan (1 shared paper)Natalie R. Rubio (1 shared paper)David L. Stachura (1 shared paper)Jo Anne Shatkin (1 shared paper)Kimberly J. Ong (1 shared paper)Vincent Sewalt (1 shared paper)
- Journals
- Frontiers in Sustainable Food Systems (1 paper)Innovative Food Science & Emerging Technologies (1 paper)Nature Food (1 paper)Comprehensive Reviews in Food Science and Food Safety (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Isha Datar
5 papers receiving 442 citations
Peers
Comparison fields: 5 of 76
- Animal Science and Zoology 113
- Ecology 239
- Food Science 157
- Genetics 107
- General Agricultural and Biological Sciences 31
Countries citing papers authored by Isha Datar
This map shows the geographic impact of Isha Datar'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 Isha Datar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isha Datar more than expected).
Fields of papers citing papers by Isha Datar
This network shows the impact of papers produced by Isha Datar. 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 Isha Datar. The network helps show where Isha Datar may publish in the future.
Co-authors
The 11 scholars most cited alongside Isha Datar, 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 | 2009 | 220 | |
| 2 | 2021 | 116 | |
| 3 | 2019 | 98 | |
| 4 | 2022 | 18 | |
| 5 | 2009 | 1 |
About Isha Datar
Isha Datar is a scholar working on Ecology, Animal Science and Zoology, Genetics, Molecular Biology and Aquatic Science, having authored 5 papers that have together received 453 indexed citations. Recurring topics across this work include Agriculture Sustainability and Environmental Impact (2 papers), Meat and Animal Product Quality (2 papers), Animal Genetics and Reproduction (2 papers), Aquaculture Nutrition and Growth (1 paper), Identification and Quantification in Food (1 paper), Food Waste Reduction and Sustainability (1 paper) and Aquaculture disease management and microbiota (1 paper). The work is most often cited by research in Animal Science and Zoology (113 citations), Ecology (239 citations), Food Science (157 citations), Genetics (107 citations) and General Agricultural and Biological Sciences (31 citations). Isha Datar has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Marco Betti, Dwayne Holmes, David L. Kaplan, Natalie R. Rubio, David L. Stachura, Jo Anne Shatkin, Kimberly J. Ong, Vincent Sewalt, David Humbird and Jan Dutkiewicz. Their work appears in journals such as Frontiers in Sustainable Food Systems, Innovative Food Science & Emerging Technologies, Nature Food, Comprehensive Reviews in Food Science and Food Safety and Zenodo (CERN European Organization for Nuclear Research).
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.