P. A. Ealey

525 citations
20 papers · 411 · h-index 11

Impact in

Papers in

P. A. Ealey

19 papers receiving 397 citations

Peers

P. A. Ealey
Comparison fields: 5 of 67
  • Endocrinology, Diabetes and Metabolism 263
  • Immunology 67
  • Radiology, Nuclear Medicine and Imaging 67
  • Genetics 70
  • Physiology 64
Replace Bhakta R. Dey with:
Bhakta R. Dey United States
P.R.M. Dobson United Kingdom
Chantal Samson France
A. L. Jones United States
C. Lübke Germany
Tejal P. Suthar India
Harmony K. Phillips United States
D.J. Cockburn United Kingdom
Weiping Qiu United States
Joerg Kumbrink Germany
P. A. Ealey relative to Bhakta R. Dey United States Bhakta R. Dey's profile →
Citations per field
00.5×8.4×
Bhakta R. Dey · 1×
Citations per year

Countries citing papers authored by P. A. Ealey

Since Specialization
Citations

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

Fields of papers citing papers by P. A. Ealey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. A. Ealey. 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 P. A. Ealey. The network helps show where P. A. Ealey may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1990110
2 198777
3 198840
4 198836
5 198429
6 198119
7 198517
8 198716
9
The development of an eluted stain bioassay (ESTA) for human growth hormone.
199516
10 198412
11 198011
12 19859
13
Monoclonal antibodies as probes of thyrotropin receptor structure
19845
14 19884
15 19963
16 19843
17 19852
18 19851
19 19841
20 19870

About P. A. Ealey

P. A. Ealey is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience and Genetics, having authored 20 papers that have together received 411 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (11 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Ion channel regulation and function (3 papers), Neuropeptides and Animal Physiology (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Radiopharmaceutical Chemistry and Applications (3 papers), Animal Genetics and Reproduction (2 papers) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (263 citations), Immunology (67 citations), Radiology, Nuclear Medicine and Imaging (67 citations), Genetics (70 citations) and Physiology (64 citations). P. A. Ealey has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include N. J. Marshall, M Yateman, Shamshad Cockcroft, J. B. Field, Roger Ekins, Brian Shine, A P Weetman, R Williams, C M Black and Charles B. Reimer. Their work appears in journals such as European Journal of Endocrinology, Journal of Clinical Investigation, Journal of Endocrinology, The Journal of Clinical Endocrinology & Metabolism and Endocrinology.

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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