Keith Chambers

617 citations
7 papers · 532 · h-index 7

Impact in

  • Cell Biology top 10%
    • Cellular Mechanics and Interactions
  • Physiology top 10%
    • Erythrocyte Function and Pathophysiology

Papers in

Keith Chambers

7 papers receiving 486 citations

Peers

Keith Chambers
Comparison fields: 5 of 78
  • Cell Biology 148
  • Physiology 201
  • Hematology 77
  • Immunology and Allergy 34
  • Genetics 43
Replace Meredith E. Fay with:
Meredith E. Fay United States
Rick Huisjes Netherlands
Po‐Shun Lee United States
J. Agterberg Netherlands
Marcie R. Williams United States
Wim Renmans Belgium
Hirotoshi Hamaguchi Japan
Daniel Flormann Germany
K Fellinger Austria
Laura Hertz Germany
Keith Chambers relative to Meredith E. Fay United States Meredith E. Fay's profile →
Citations per field
00.5×2.9×
Meredith E. Fay · 1×
Citations per year

Countries citing papers authored by Keith Chambers

Since Specialization
Citations

This map shows the geographic impact of Keith Chambers'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 Keith Chambers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Chambers more than expected).

Fields of papers citing papers by Keith Chambers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith Chambers. 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 Keith Chambers. The network helps show where Keith Chambers may publish in the future.

Co-authors

The 15 scholars most cited alongside Keith Chambers, 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 Keith Chambers Line = papers co-authored together Keith Chambers links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2000149
2 1989143
3 198986
4
A randomized trial of patient self-managed versus physician-managed oral anticoagulation.
200453
5 200047
6 199829
7 200525

About Keith Chambers

Keith Chambers is a scholar working on Physiology, Pulmonary and Respiratory Medicine, Genetics, Cell Biology and Cardiology and Cardiovascular Medicine, having authored 7 papers that have together received 532 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (3 papers), Blood properties and coagulation (3 papers), Hemoglobinopathies and Related Disorders (2 papers), Cellular Mechanics and Interactions (2 papers), Cell Adhesion Molecules Research (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), Blood groups and transfusion (1 paper) and Clinical Laboratory Practices and Quality Control (1 paper). The work is most often cited by research in Cell Biology (148 citations), Physiology (201 citations), Hematology (77 citations), Immunology and Allergy (34 citations) and Genetics (43 citations). Keith Chambers has collaborated with scholars based in Canada, United States and China. Frequent co-authors include John H. Hartwig, Thomas P. Stossel, Judith Behrens, May‐Jean King, Chris Rogers, David Greenwood, D J Kwiatkowski, Karen Hopcia, Rubina Sunderji and Kenneth Gin. Their work appears in journals such as The Journal of Cell Biology, British Journal of Haematology, American Journal of Clinical Pathology, Archives of Physical Medicine and Rehabilitation 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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