JD Chambers

2.2k citations
15 papers · 1.8k indexed · 1 hit paper · h-index 11

JD Chambers

14 papers receiving 1.8k citations

Hit Papers

Two-step model of leukocyte-endothelial cell interaction ...8141991202620022014250500750

Peers

JD Chambers
Comparison fields: 5 of 98
  • Immunology and Allergy 1.1k
  • Immunology 863
  • Hematology 359
  • Neurology 185
  • Cancer Research 152
Replace F W Luscinskas with:
F W Luscinskas United States
Abigail Woodfin United Kingdom
B Schleiffenbaum Switzerland
T. Venkat Gopal United States
Tracey Sciuto United States
R P McEver United States
Zoltán Jakus Hungary
Robert F. Todd United States
Keith E. Norman United Kingdom
Elżbieta Pluskota United States
JD Chambers relative to F W Luscinskas United States F W Luscinskas's profile →
Citations per field
00.5×1.5×1.9×
F W Luscinskas · 1×
Citations per year

Countries citing papers authored by JD Chambers

Since Specialization
Citations

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

Fields of papers citing papers by JD Chambers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside JD 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 JD Chambers Line = papers co-authored together JD Chambers links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 20141
2 20131
3 199718
4 199539
5
Construction of a steric map of the binding pocket for cannabinoids at the cannabinoid receptor.
19955
6 1993149
7 199318
8 1993136
9 199278
10 1992294
11 1992199
12
Two-step model of leukocyte-endothelial cell interaction in inflammation: distinct roles for LECAM-1 and the leukocyte beta 2 integrins in vivo.breakdown →
1991814
13 199055
14 19865
15 197923

About JD Chambers

JD Chambers is a scholar working on Immunology and Allergy, Transplantation, Hematology, Immunology and Neurology, having authored 15 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (9 papers), Platelet Disorders and Treatments (4 papers), Immune Response and Inflammation (4 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Healthcare Policy and Management (1 paper), Primary Care and Health Outcomes (1 paper), Biochemical and Structural Characterization (1 paper) and Renal Transplantation Outcomes and Treatments (1 paper). The work is most often cited by research in Immunology and Allergy (1.1k citations), Immunology (863 citations), Hematology (359 citations), Neurology (185 citations) and Cancer Research (152 citations). JD Chambers has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Ulrich H. von Andrian, K.‐E. Arfors, Eugene C. Butcher, L M McEvoy, Robert F. Bargatze, K. E. Arfors, Etsuro Mori, Brian R. Copeland, Gregory J. del Zoppo and E C Butcher. Their work appears in journals such as Value in Health, Blood, The Journal of Cell Biology, Journal of Cellular Biochemistry and The Journal of Immunology.

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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