David Rearick
Impact in
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
Papers in
-
- Metabolism, Diabetes, and Cancer 1
-
- Advanced Mathematical Identities 2
- Co-authors
- Kristin Tillison (2 shared papers)Cynthia M. Smas (2 shared papers)Jun‐Ho Lee (1 shared paper)Larisa Fedorova (1 shared paper)A. John McSweeny (1 shared paper)A. N. Fedorov (1 shared paper)Samuel S. Shepard (1 shared paper)Ashwin Prakash (1 shared paper)
- Journals
- Duke Mathematical Journal (4 papers)American Journal of Physiology-Endocrinology and Metabolism (2 papers)Pacific Journal of Mathematics (2 papers)Nucleic Acids Research (1 paper)American Mathematical Monthly (3 papers)
- Partner nations
- United States
In The Last Decade
David Rearick
13 papers receiving 442 citations
Peers
Comparison fields: 5 of 79
- Biochemistry 137
- Algebra and Number Theory 41
- Physiology 142
- Cancer Research 68
- Geometry and Topology 30
Countries citing papers authored by David Rearick
This map shows the geographic impact of David Rearick'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 Rearick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Rearick more than expected).
Fields of papers citing papers by David Rearick
This network shows the impact of papers produced by David Rearick. 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 Rearick. The network helps show where David Rearick may publish in the future.
Co-authors
The 17 scholars most cited alongside David Rearick, 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 | 2006 | 174 | |
| 2 | 2010 | 142 | |
| 3 | 2009 | 70 | |
| 4 | 1974 | 23 | |
| 5 | 1968 | 19 | |
| 6 | 1984 | 15 | |
| 7 | 1966 | 15 | |
| 8 | 1968 | 10 | |
| 9 | 1966 | 4 | |
| 10 | 1963 | 3 | |
| 11 | 1996 | 1 | |
| 12 | 1963 | 1 | |
| 13 | 1966 | 1 |
About David Rearick
David Rearick is a scholar working on Molecular Biology, Algebra and Number Theory, Computational Theory and Mathematics, Physiology and Biochemistry, having authored 13 papers that have together received 478 indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (2 papers), Advanced Mathematical Identities (2 papers), Adipose Tissue and Metabolism (2 papers), Iterative Methods for Nonlinear Equations (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Quality and Safety in Healthcare (1 paper), Polynomial and algebraic computation (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Biochemistry (137 citations), Algebra and Number Theory (41 citations), Physiology (142 citations), Cancer Research (68 citations) and Geometry and Topology (30 citations). David Rearick has collaborated with scholars based in United States. Frequent co-authors include Kristin Tillison, Cynthia M. Smas, Jun‐Ho Lee, Larisa Fedorova, A. John McSweeny, A. N. Fedorov, Samuel S. Shepard, Ashwin Prakash, Ruby Fernandez-Boyanapalli and Jiyoung Kim. Their work appears in journals such as Duke Mathematical Journal, American Journal of Physiology-Endocrinology and Metabolism, Pacific Journal of Mathematics, Nucleic Acids Research and American Mathematical Monthly.
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.