Alger B. Chapman
Impact in
- Physiology top 10%
- Adipose Tissue and Metabolism
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
Papers in
- Genetics 5
- Virus-based gene therapy research 2
- Estrogen and related hormone effects 2
-
- Adipose Tissue and Metabolism 4
- Co-authors
- G M Ringold (7 shared papers)David Knight (6 shared papers)B Dieckmann (1 shared paper)Marc Navre (2 shared papers)John Bruno (1 shared paper)Leonard Guarente (1 shared paper)Anna M. Wu (1 shared paper)Jonathan Beckwith (1 shared paper)
- Journals
- The Pediatric Infectious Disease Journal (2 papers)The Journal of Cell Biology (1 paper)Journal of Biological Chemistry (1 paper)Cell (1 paper)Annals of the New York Academy of Sciences (1 paper)
- Partner nations
- United States
In The Last Decade
Alger B. Chapman
11 papers receiving 478 citations
Peers
Comparison fields: 5 of 71
- Physiology 215
- Biochemistry 43
- Behavioral Neuroscience 14
- Epidemiology 133
- Molecular Biology 259
Countries citing papers authored by Alger B. Chapman
This map shows the geographic impact of Alger B. Chapman'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 Alger B. Chapman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alger B. Chapman more than expected).
Fields of papers citing papers by Alger B. Chapman
This network shows the impact of papers produced by Alger B. Chapman. 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 Alger B. Chapman. The network helps show where Alger B. Chapman may publish in the future.
Co-authors
The 16 scholars most cited alongside Alger B. Chapman, 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 | 1984 | 183 | |
| 2 | 1985 | 121 | |
| 3 | 1987 | 50 | |
| 4 | 1980 | 38 | |
| 5 | 1983 | 26 | |
| 6 | 1988 | 22 | |
| 7 | 1986 | 21 | |
| 8 | 1994 | 11 | |
| 9 | 1986 | 10 | |
| 10 | 1993 | 4 | |
| 11 | [Urticarial vasculitis associated with apparently primary Gougerot-Sjögren syndrome]. | 1986 | 3 |
About Alger B. Chapman
Alger B. Chapman is a scholar working on Genetics, Physiology, Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 11 papers that have together received 489 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (4 papers), Virus-based gene therapy research (2 papers), Estrogen and related hormone effects (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Pancreatic function and diabetes (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Effects and risks of endocrine disrupting chemicals (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Physiology (215 citations), Biochemistry (43 citations), Behavioral Neuroscience (14 citations), Epidemiology (133 citations) and Molecular Biology (259 citations). Alger B. Chapman has collaborated with scholars based in United States. Frequent co-authors include G M Ringold, David Knight, B Dieckmann, Marc Navre, John Bruno, Leonard Guarente, Anna M. Wu, Jonathan Beckwith, Terry Platt and Frank M. Torti. Their work appears in journals such as The Pediatric Infectious Disease Journal, The Journal of Cell Biology, Journal of Biological Chemistry, Cell and Annals of the New York Academy of Sciences.
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.