Robert J. Ihry
Impact in
- Aging top 5%
-
- Innovation and Socioeconomic Development
Papers in
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- CRISPR and Genetic Engineering 3
- Insect Resistance and Genetics 2
- RNA and protein synthesis mechanisms 1
- Pluripotent Stem Cells Research 1
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- Neurobiology and Insect Physiology Research 3
- Co-authors
- Ajamete Kaykas (3 shared papers)Daniel Ho (3 shared papers)Kathleen A. Worringer (3 shared papers)Max R. Salick (2 shared papers)Sravya Kommineni (2 shared papers)Gregory McAllister (2 shared papers)Ranjit Randhawa (2 shared papers)Chaoyang Ye (2 shared papers)
- Journals
- Nature Communications (1 paper)Theoretical and Applied Genetics (1 paper)Nature Medicine (1 paper)G3 Genes Genomes Genetics (1 paper)Genetics (1 paper)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Robert J. Ihry
9 papers receiving 1.1k citations
Robert J. Ihry's Hit Papers
Peers
Comparison fields: 5 of 80
- Aging 66
- Business and International Management 69
- Molecular Biology 845
- Genetics 233
- Infectious Diseases 109
Countries citing papers authored by Robert J. Ihry
This map shows the geographic impact of Robert J. Ihry'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 Robert J. Ihry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert J. Ihry more than expected).
Fields of papers citing papers by Robert J. Ihry
This network shows the impact of papers produced by Robert J. Ihry. 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 Robert J. Ihry. The network helps show where Robert J. Ihry may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert J. Ihry, 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 | p53 inhibits CRISPR–Cas9 engineering in human pluripotent stem cells Hit paper breakdown → | 2018 | 673 |
| 2 | 2016 | 212 | |
| 3 | 2018 | 140 | |
| 4 | 2012 | 39 | |
| 5 | 2014 | 19 | |
| 6 | 2013 | 15 | |
| 7 | 2008 | 8 | |
| 8 | 2013 | 5 | |
| 9 | 2023 | 3 |
About Robert J. Ihry
Robert J. Ihry is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics, Business and International Management and Obstetrics and Gynecology, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (3 papers), CRISPR and Genetic Engineering (3 papers), Insect Resistance and Genetics (2 papers), Animal Behavior and Reproduction (2 papers), RNA and protein synthesis mechanisms (1 paper), Pluripotent Stem Cells Research (1 paper), Mosquito-borne diseases and control (1 paper) and Biomedical Ethics and Regulation (1 paper). The work is most often cited by research in Aging (66 citations), Business and International Management (69 citations), Molecular Biology (845 citations), Genetics (233 citations) and Infectious Diseases (109 citations). Robert J. Ihry has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Ajamete Kaykas, Daniel Ho, Kathleen A. Worringer, Max R. Salick, Sravya Kommineni, Gregory McAllister, Ranjit Randhawa, Chaoyang Ye, John Reece-Hoyes and Marie Sondey. Their work appears in journals such as Nature Communications, Theoretical and Applied Genetics, Nature Medicine, G3 Genes Genomes Genetics and Genetics.
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.