J. D. Chambers

1.2k citations
26 papers · 618 · h-index 11

Impact in

Papers in

J. D. Chambers

22 papers receiving 523 citations

Peers

J. D. Chambers
Comparison fields: 5 of 115
  • Economics and Econometrics 179
  • Physiology 28
  • Sensory Systems 28
  • Immunology and Allergy 33
  • History 49
Replace J. R. McCulloch with:
J. R. McCulloch United States
Duncan Wilson United Kingdom
Thomas J. Murray United States
Richard Gale United Kingdom
Ian McKay Canada
Edmund Prince Fowler United States
Hélène Vézina Canada
Ana Alonso Spain
Mary Young United States
Stephen D. Moore United States
J. D. Chambers relative to J. R. McCulloch United States J. R. McCulloch's profile →
Citations per field
00.5×9.3×
J. R. McCulloch · 1×
Citations per year

Countries citing papers authored by J. D. Chambers

Since Specialization
Citations

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

Fields of papers citing papers by J. D. Chambers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1966173
2 201065
3 199657
4 196446
5 200043
6 197341
7 199340
8 195339
9 199835
10 199426
11 199414
12 19906
13 19625
14 20014
15
Human immune responses to herpes simplex virus, varicella-zoster and cytomegalovirus in vitro.
19864
16 19664
17 19544
18 19713
19
Use of donors sharing one genetic haplotype for bone marrow transplantation.
19852
20 19532

About J. D. Chambers

J. D. Chambers is a scholar working on Economics and Econometrics, Pulmonary and Respiratory Medicine, Immunology and Allergy, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 26 papers that have together received 618 indexed citations. Recurring topics across this work include Historical Economic and Social Studies (6 papers), Cell Adhesion Molecules Research (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers), Analog and Mixed-Signal Circuit Design (1 paper), Cardiovascular and Diving-Related Complications (1 paper), Hearing Loss and Rehabilitation (1 paper) and Historical and Archaeological Studies (1 paper). The work is most often cited by research in Economics and Econometrics (179 citations), Physiology (28 citations), Sensory Systems (28 citations), Immunology and Allergy (33 citations) and History (49 citations). J. D. Chambers has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include G. E. Mingay, W. A. Cole, J. Hd., K.‐E. Arfors, Paul Das, E. Berger, D. C. Bullock, Alan R. Palmer, Cother Hajat and Soundrie Padayachee. Their work appears in journals such as The Economic History Review, Journal of Leukocyte Biology, The Economic Journal, Economica and QJM.

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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