JA Chasis
Impact in
- Physiology top 2%
- Erythrocyte Function and Pathophysiology
- Hematology top 5%
- Blood groups and transfusion
Papers in
- Physiology 15
- Erythrocyte Function and Pathophysiology 15
-
- Blood properties and coagulation 8
- Co-authors
- Narla Mohandas (9 shared papers)N Mohandas (4 shared papers)Simon Shohet (1 shared paper)Marilyn J. Telen (2 shared papers)Michel Prenant (2 shared papers)Chi Sing Andrew LEUNG (2 shared papers)Peter C. Agre (1 shared paper)SL Schrier (2 shared papers)
- Journals
- Blood (14 papers)The Journal of Cell Biology (1 paper)Journal of Clinical Investigation (1 paper)PubMed (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
JA Chasis
17 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 93
- Physiology 856
- Hematology 282
- Genetics 184
- Pulmonary and Respiratory Medicine 458
- Cell Biology 168
Countries citing papers authored by JA Chasis
This map shows the geographic impact of JA Chasis'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 JA Chasis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites JA Chasis more than expected).
Fields of papers citing papers by JA Chasis
This network shows the impact of papers produced by JA Chasis. 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 JA Chasis. The network helps show where JA Chasis may publish in the future.
Co-authors
The 20 scholars most cited alongside JA Chasis, 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 | 1986 | 222 | |
| 2 | The influence of membrane skeleton on red cell deformability, membrane material properties, and shape. | 1983 | 196 |
| 3 | 1989 | 150 | |
| 4 | 1992 | 145 | |
| 5 | 1992 | 142 | |
| 6 | 1988 | 87 | |
| 7 | 1987 | 77 | |
| 8 | 1990 | 74 | |
| 9 | 1993 | 63 | |
| 10 | 1989 | 45 | |
| 11 | 1989 | 39 | |
| 12 | 1996 | 23 | |
| 13 | 1989 | 9 | |
| 14 | 1989 | 7 | |
| 15 | 1990 | 7 | |
| 16 | 1989 | 3 | |
| 17 | 1993 | 1 |
About JA Chasis
JA Chasis is a scholar working on Physiology, Pulmonary and Respiratory Medicine, Genetics, Cell Biology and Pediatrics, Perinatology and Child Health, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (15 papers), Blood properties and coagulation (8 papers), Hemoglobinopathies and Related Disorders (4 papers), Neonatal Health and Biochemistry (3 papers), Microfluidic and Bio-sensing Technologies (2 papers), Complement system in diseases (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Physiology (856 citations), Hematology (282 citations), Genetics (184 citations), Pulmonary and Respiratory Medicine (458 citations) and Cell Biology (168 citations). JA Chasis has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Narla Mohandas, N Mohandas, Simon Shohet, Marilyn J. Telen, Michel Prenant, Chi Sing Andrew LEUNG, Peter C. Agre, SL Schrier, ME Reid and Gil Tchernia. Their work appears in journals such as Blood, The Journal of Cell Biology, Journal of Clinical Investigation and PubMed.
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.