JA Chasis

1.5k citations
17 papers · 1.2k · h-index 12

Impact in

  • Physiology top 2%
    • Erythrocyte Function and Pathophysiology
  • Hematology top 5%
    • Blood groups and transfusion

Papers in

JA Chasis

17 papers receiving 1.2k citations

Peers

JA Chasis
Comparison fields: 5 of 91
  • Physiology 850
  • Hematology 279
  • Genetics 186
  • Pulmonary and Respiratory Medicine 463
  • Cell Biology 162
Replace SB Shohet with:
SB Shohet United States
Timothy J. Satchwell United Kingdom
SC Liu Pakistan
Hillard Rubin United States
Temitayo Ajayi United States
MA Lichtman United States
Toshio Mazda Japan
Stéphane Égée France
Mette Madsen Denmark
S. P. Masouredis United States
JA Chasis relative to SB Shohet United States SB Shohet's profile →
Citations per field
00.5×2.9×
SB Shohet · 1×
Citations per year

Countries citing papers authored by JA Chasis

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with JA Chasis Line = papers co-authored together JA Chasis links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1986216
2
The influence of membrane skeleton on red cell deformability, membrane material properties, and shape.
1983191
3 1989140
4 1992132
5 1992131
6 198881
7 198775
8 199069
9 199354
10 198941
11 198936
12 199622
13 19898
14 19897
15 19907
16 19893
17 19931

About JA Chasis

JA Chasis is a scholar working on Physiology, Pulmonary and Respiratory Medicine, Molecular Biology, Genetics and Cell Biology, having authored 17 papers that have together received 1.2k 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), Blood groups and transfusion (2 papers), Lipid Membrane Structure and Behavior (2 papers), Complement system in diseases (2 papers) and Microfluidic and Bio-sensing Technologies (2 papers). The work is most often cited by research in Physiology (850 citations), Hematology (279 citations), Genetics (186 citations), Pulmonary and Respiratory Medicine (463 citations) and Cell Biology (162 citations). JA Chasis has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Narla Mohandas, N Mohandas, Simon Shohet, Marilyn J. Telen, Chi-Sing Leung, M Prenant, Peter Agre, ME Reid, SL Schrier 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.

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