David Matthew Ricks
Impact in
-
- T-cell and B-cell Immunology
- Genetics top 10%
- Animal Genetics and Reproduction
- Virus-based gene therapy research
Papers in
- Genetics 8
- Animal Genetics and Reproduction 4
- Virus-based gene therapy research 4
-
- T-cell and B-cell Immunology 3
- Co-authors
- Jay K. Kolls (7 shared papers)Kong Chen (5 shared papers)Mingquan Zheng (4 shared papers)Jakob Reiser (4 shared papers)Robert H. Kutner (4 shared papers)Cherie Dumas (4 shared papers)Martha C. Gómez (4 shared papers)B. L. Dresser (4 shared papers)
- Journals
- Reproduction Fertility and Development (2 papers)Infection and Immunity (2 papers)Scientific Reports (2 papers)The Journal of Immunology (2 papers)Molecular Therapy — Methods & Clinical Development (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
David Matthew Ricks
20 papers receiving 819 citations
Peers
Comparison fields: 5 of 67
- Immunology 140
- Genetics 184
- Epidemiology 142
- Infectious Diseases 66
- Genetics 24
Countries citing papers authored by David Matthew Ricks
This map shows the geographic impact of David Matthew Ricks'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 Matthew Ricks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Matthew Ricks more than expected).
Fields of papers citing papers by David Matthew Ricks
This network shows the impact of papers produced by David Matthew Ricks. 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 Matthew Ricks. The network helps show where David Matthew Ricks may publish in the future.
Co-authors
The 25 scholars most cited alongside David Matthew Ricks, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 125 | |
| 2 | 2010 | 107 | |
| 3 | 2016 | 106 | |
| 4 | 2008 | 95 | |
| 5 | 2017 | 61 | |
| 6 | 2008 | 59 | |
| 7 | 2008 | 57 | |
| 8 | 2024 | 43 | |
| 9 | 2016 | 35 | |
| 10 | 2010 | 30 | |
| 11 | 2016 | 27 | |
| 12 | 2013 | 24 | |
| 13 | 2009 | 19 | |
| 14 | 2019 | 17 | |
| 15 | 2014 | 12 | |
| 16 | 2016 | 10 | |
| 17 | 2015 | 9 | |
| 18 | 2016 | 8 | |
| 19 | 2020 | 8 | |
| 20 | 2006 | 2 |
About David Matthew Ricks
David Matthew Ricks is a scholar working on Genetics, Immunology, Epidemiology, Surgery and Oncology, having authored 21 papers that have together received 854 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (5 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), Animal Genetics and Reproduction (4 papers), Virus-based gene therapy research (4 papers), T-cell and B-cell Immunology (3 papers), Cardiovascular Effects of Exercise (1 paper), Genomics and Chromatin Dynamics (1 paper) and Autophagy in Disease and Therapy (1 paper). The work is most often cited by research in Immunology (140 citations), Genetics (184 citations), Epidemiology (142 citations), Infectious Diseases (66 citations) and Genetics (24 citations). David Matthew Ricks has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Jay K. Kolls, Kong Chen, Mingquan Zheng, Jakob Reiser, Robert H. Kutner, Cherie Dumas, Martha C. Gómez, B. L. Dresser, Charles Earle Pope and Justine I. Lyons. Their work appears in journals such as Reproduction Fertility and Development, Infection and Immunity, Scientific Reports, The Journal of Immunology and Molecular Therapy — Methods & Clinical Development.
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.