Jack K. Chamberlain

420 citations
21 papers · 352 · h-index 9

Impact in

Papers in

Jack K. Chamberlain

20 papers receiving 335 citations

Peers

Jack K. Chamberlain
Comparison fields: 5 of 74
  • Hematology 92
  • Cellular and Molecular Neuroscience 89
  • Biophysics 26
  • Behavioral Neuroscience 15
  • Immunology and Allergy 17
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Citations per year

Countries citing papers authored by Jack K. Chamberlain

Since Specialization
Citations

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

Fields of papers citing papers by Jack K. Chamberlain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack K. Chamberlain. 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 Jack K. Chamberlain. The network helps show where Jack K. Chamberlain may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197899
2 198645
3
Nuclear pre-tRNA terminal structure and RNase P recognition.
199733
4 199730
5 199326
6 198817
7
Experiments showing that electromagnetic fields can be used to treat inflammatory diseases.
200017
8 198416
9 200114
10 20029
11 19888
12 19868
13 19777
14
Autoradiographic evaluation of electromagnetic field effects on serotonin (5HT1A) receptors in rat brain.
20036
15 19865
16
A test gradient system for optimizing density gradient isolation of pancreatic islets.
19894
17
Long-term survival of rat islet allografts after pretreatment with low dose gamma irradiation.
19894
18 19852
19
Use of a quadripole magnet significantly improves immunomagnetic islet purification.
19941
20 19771

About Jack K. Chamberlain

Jack K. Chamberlain is a scholar working on Sensory Systems, Biophysics, Hepatology, Cellular and Molecular Neuroscience and Surgery, having authored 21 papers that have together received 352 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (4 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Receptor Mechanisms and Signaling (3 papers), Neuroendocrine regulation and behavior (2 papers), Platelet Disorders and Treatments (2 papers), Olfactory and Sensory Function Studies (2 papers), Electromagnetic Fields and Biological Effects (2 papers) and Biochemical effects in animals (1 paper). The work is most often cited by research in Hematology (92 citations), Cellular and Molecular Neuroscience (89 citations), Biophysics (26 citations), Behavioral Neuroscience (15 citations) and Immunology and Allergy (17 citations). Jack K. Chamberlain has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Marshall A. Lichtman, William Simon, John P. DaVanzo, Joseph Anderson, Henry J. Pearson, Peter R.F. Bell, David R. Garris, B.A. McMillen, Ill Young Lee and Jae‐Yong Lee. Their work appears in journals such as American Journal of Hematology, Brain Research, Diabetologia, Bioelectromagnetics and International Journal of Radiation Oncology*Biology*Physics.

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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