David Clary
Impact in
- Sensory Systems top 5%
- Hearing, Cochlea, Tinnitus, Genetics
- Aging top 10%
Papers in
-
- Retinal Development and Disorders 3
- Molecular Biology Techniques and Applications 2
- Single-cell and spatial transcriptomics 2
- Biomedical Text Mining and Ontologies 1
- Genetics 5
- Animal Genetics and Reproduction 1
- Co-authors
- Monto H. Kumagai (1 shared paper)Florence Bouvier (1 shared paper)Bilal Camara (1 shared paper)Christopher John Murphy (2 shared papers)Denise M. Imai (2 shared papers)Brian C. Leonard (2 shared papers)K. C. Kent Lloyd (3 shared papers)Lynette R. Bower (2 shared papers)
- Journals
- Mammalian Genome (3 papers)Nature Communications (3 papers)Investigative Ophthalmology & Visual Science (2 papers)Scientific Reports (2 papers)Nature Genetics (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
David Clary
19 papers receiving 1.5k citations
David Clary's Hit Papers
Peers
Comparison fields: 5 of 118
- Sensory Systems 99
- Aging 32
- Genetics 395
- Molecular Biology 954
- Biophysics 43
Countries citing papers authored by David Clary
This map shows the geographic impact of David Clary'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 David Clary with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Clary more than expected).
Fields of papers citing papers by David Clary
This network shows the impact of papers produced by David Clary. 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 David Clary. The network helps show where David Clary may publish in the future.
Co-authors
The 25 scholars most cited alongside David Clary, 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 | High-throughput discovery of novel developmental phenotypes Hit paper breakdown → | 2016 | 899 |
| 2 | 2017 | 194 | |
| 3 | 2017 | 120 | |
| 4 | 2021 | 75 | |
| 5 | 2018 | 53 | |
| 6 | 1998 | 52 | |
| 7 | 2022 | 36 | |
| 8 | 2018 | 30 | |
| 9 | 2018 | 30 | |
| 10 | 2023 | 9 | |
| 11 | 2017 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2015 | 6 | |
| 14 | 2019 | 6 | |
| 15 | 2021 | 6 | |
| 16 | 2019 | 6 | |
| 17 | 2024 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2023 | 3 |
About David Clary
David Clary is a scholar working on Molecular Biology, Genetics, Small Animals, Cardiology and Cardiovascular Medicine and Sensory Systems, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include Retinal Development and Disorders (3 papers), Molecular Biology Techniques and Applications (2 papers), Single-cell and spatial transcriptomics (2 papers), Animal testing and alternatives (2 papers), Animal Genetics and Reproduction (1 paper), Biochemical Analysis and Sensing Techniques (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Pharmacological Effects of Natural Compounds (1 paper). The work is most often cited by research in Sensory Systems (99 citations), Aging (32 citations), Genetics (395 citations), Molecular Biology (954 citations) and Biophysics (43 citations). David Clary has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Monto H. Kumagai, Florence Bouvier, Bilal Camara, Christopher John Murphy, Denise M. Imai, Brian C. Leonard, K. C. Kent Lloyd, Lynette R. Bower, Ala Moshiri and Stephen M. Griffey. Their work appears in journals such as Mammalian Genome, Nature Communications, Investigative Ophthalmology & Visual Science, Scientific Reports and Nature 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.