Darryl Nishimura
- Ophthalmology top 0.2%
- Glaucoma and retinal disorders 11
- Retinal Diseases and Treatments 4
- Genetics top 0.5%
- Genetic and Kidney Cyst Diseases 29
- Genetic Syndromes and Imprinting 25
- Molecular Biology top 1%
- Hedgehog Signaling Pathway Studies 20
- Retinal Development and Disorders 6
- Congenital heart defects research 5
- Cell Biology top 1%
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- Corneal surgery and disorders 5
- Co-authors
- Val C. SheffieldEdwin M. StoneCharles SearbyRuth E. SwiderskiWallace L.M. AlwardDavid A. MackeyAbbot F. ClarkRivka Carmi
- Journals
- The American Journal of Human Genetics (6 papers)Proceedings of the National Academy of Sciences (5 papers)Genomics (4 papers)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Darryl Nishimura
72 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Ophthalmology 1.8k
- Genetics 3.1k
- Molecular Biology 4.4k
- Cell Biology 827
- Radiology, Nuclear Medicine and Imaging 714
Countries citing papers authored by Darryl Nishimura
This map shows the geographic impact of Darryl Nishimura'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 Darryl Nishimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darryl Nishimura more than expected).
Fields of papers citing papers by Darryl Nishimura
This network shows the impact of papers produced by Darryl Nishimura. 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 Darryl Nishimura. The network helps show where Darryl Nishimura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Darryl Nishimura, 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 | 2023 | 7 | |
| 2 | 2017 | 36 | |
| 3 | 2011 | 212 | |
| 4 | 2010 | 11 | |
| 5 | 2010 | 60 | |
| 6 | 2004 | 175 | |
| 7 | 2002 | 258 | |
| 8 | 2001 | 38 | |
| 9 | 2001 | 392 | |
| 10 | 2001 | 1 | |
| 11 | 2001 | 172 | |
| 12 | 2001 | 24 | |
| 13 | 2000 | 34 | |
| 14 | 2000 | 1 | |
| 15 | 2000 | 12 | |
| 16 | 2000 | 0 | |
| 17 | 1998 | 359 | |
| 18 | CEPH(ヒト多形性研究センター)共同製作ヒト1番染色体連鎖地図 | 1991 | 54 |
| 19 | 1990 | 15 | |
| 20 | 1990 | 6 |
About Darryl Nishimura
Darryl Nishimura is a scholar working on Ophthalmology, Genetics, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Endocrine and Autonomic Systems, having authored 74 papers that have together received 6.7k indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (29 papers), Genetic Syndromes and Imprinting (25 papers), Hedgehog Signaling Pathway Studies (20 papers), Glaucoma and retinal disorders (11 papers), Retinal Development and Disorders (6 papers), Congenital heart defects research (5 papers), Corneal surgery and disorders (5 papers) and Retinal Diseases and Treatments (4 papers). The work is most often cited by research in Ophthalmology (1.8k citations), Genetics (3.1k citations), Molecular Biology (4.4k citations), Cell Biology (827 citations) and Radiology, Nuclear Medicine and Imaging (714 citations). Darryl Nishimura has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Val C. Sheffield, Edwin M. Stone, Charles Searby, Ruth E. Swiderski, Wallace L.M. Alward, David A. Mackey, Abbot F. Clark, Rivka Carmi, Jeffrey W. Kalenak and Brian E. Nichols. Their work appears in journals such as The American Journal of Human Genetics, Proceedings of the National Academy of Sciences, Genomics, Nature Genetics and Human Molecular 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.