Keith Nykamp
Impact in
Papers in
- Genetics 16
- Genomics and Rare Diseases 13
- BRCA gene mutations in cancer 2
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- RNA Research and Splicing 6
- RNA modifications and cancer 5
- Co-authors
- Yuya Kobayashi (8 shared papers)Scott Topper (5 shared papers)John Garcia (3 shared papers)Nila Patil (3 shared papers)Martin P. Powers (2 shared papers)Blanca Herrera (2 shared papers)M. Jody Westbrook (2 shared papers)Yuan-Yuan Ho (1 shared paper)
- Journals
- Human Genetics (2 papers)Genetics in Medicine (2 papers)SLEEP (2 papers)The Journal of Pediatrics (2 papers)The EMBO Journal (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Keith Nykamp
41 papers receiving 1.6k citations
Keith Nykamp's Hit Papers
Peers
Comparison fields: 5 of 89
- Aging 38
- Genetics 524
- Pulmonary and Respiratory Medicine 289
- Molecular Biology 649
- Cancer Research 125
Countries citing papers authored by Keith Nykamp
This map shows the geographic impact of Keith Nykamp'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 Keith Nykamp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Nykamp more than expected).
Fields of papers citing papers by Keith Nykamp
This network shows the impact of papers produced by Keith Nykamp. 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 Keith Nykamp. The network helps show where Keith Nykamp may publish in the future.
Co-authors
The 25 scholars most cited alongside Keith Nykamp, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Sherloc: a comprehensive refinement of the ACMG–AMP variant classification criteria Hit paper breakdown → | 2017 | 489 |
| 2 | 2002 | 146 | |
| 3 | 2017 | 132 | |
| 4 | 2018 | 115 | |
| 5 | 2019 | 76 | |
| 6 | 2017 | 71 | |
| 7 | 2008 | 63 | |
| 8 | 2009 | 47 | |
| 9 | 2014 | 42 | |
| 10 | 2021 | 41 | |
| 11 | 1998 | 38 | |
| 12 | 2023 | 37 | |
| 13 | 2019 | 34 | |
| 14 | 2005 | 27 | |
| 15 | 2023 | 22 | |
| 16 | 2015 | 22 | |
| 17 | 2013 | 21 | |
| 18 | 1998 | 21 | |
| 19 | Characterization of the chicken GCAP gene array and analyses of GCAP1, GCAP2, and GC1 gene expression in normal and rd chicken pineal. | 1999 | 20 |
| 20 | 2021 | 19 |
About Keith Nykamp
Keith Nykamp is a scholar working on Genetics, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Experimental and Cognitive Psychology, having authored 43 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (13 papers), Cystic Fibrosis Research Advances (9 papers), RNA Research and Splicing (6 papers), RNA modifications and cancer (5 papers), Cancer Genomics and Diagnostics (4 papers), BRCA gene mutations in cancer (2 papers), Obstructive Sleep Apnea Research (2 papers) and Genetic Neurodegenerative Diseases (2 papers). The work is most often cited by research in Aging (38 citations), Genetics (524 citations), Pulmonary and Respiratory Medicine (289 citations), Molecular Biology (649 citations) and Cancer Research (125 citations). Keith Nykamp has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Yuya Kobayashi, Scott Topper, John Garcia, Nila Patil, Martin P. Powers, Blanca Herrera, M. Jody Westbrook, Yuan-Yuan Ho, Michael J. Anderson and Janita Thusberg. Their work appears in journals such as Human Genetics, Genetics in Medicine, SLEEP, The Journal of Pediatrics and The EMBO Journal.
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.