P Heyma

440 citations
13 papers · 355 · h-index 10

Impact in

Papers in

P Heyma

13 papers receiving 328 citations

Peers

P Heyma
Comparison fields: 5 of 79
  • Endocrinology, Diabetes and Metabolism 193
  • Nephrology 22
  • Genetics 74
  • Pharmacology 21
  • Immunology 33
Replace PM Stewart with:
PM Stewart United Kingdom
Sabine Kenouch France
Jean‐Marc Husson France
J W Honour United Kingdom
M.L. Wellby Australia
Gayle P. Orczyk United States
Makoto Ujihara Japan
Giuseppe Argiolas Italy
H. H. van Gelderen Netherlands
Hershman Jm United States
P Heyma relative to PM Stewart United Kingdom PM Stewart's profile →
Citations per field
00.5×1.7×
PM Stewart · 1×
Citations per year

Countries citing papers authored by P Heyma

Since Specialization
Citations

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

Fields of papers citing papers by P Heyma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside P Heyma, 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 Heyma Line = papers co-authored together P Heyma links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 197565
2
Thyrotrophin (TSH) binding sites on Yersinia enterocolitica recognized by immunoglobulins from humans with Graves' disease.
198650
3 198047
4 198044
5 198438
6 197731
7 199726
8 198216
9 198015
10 197814
11
Detection of insulin antibodies in newly-diagnosed type 1 diabetic children after "acid-stripping" of sera.
19875
12 19802
13 19862

About P Heyma

P Heyma is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Surgery, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 13 papers that have together received 355 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (9 papers), Erythrocyte Function and Pathophysiology (2 papers), Pancreatic function and diabetes (2 papers), Forensic Anthropology and Bioarchaeology Studies (1 paper), Nitric Oxide and Endothelin Effects (1 paper), Autopsy Techniques and Outcomes (1 paper), Diabetes Management and Research (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (193 citations), Nephrology (22 citations), Genetics (74 citations), Pharmacology (21 citations) and Immunology (33 citations). P Heyma has collaborated with scholars based in Australia and India. Frequent co-authors include Richard G. Larkins, Len C. Harrison, David G. Campbell, Roy M. Robins‐Browne, K.W. Ng, F. I. R. Martin, Donald A. Perry‐Keene, C. Thomas Peter, J. G. Sloman and V. P. Michelangeli. Their work appears in journals such as Clinical Endocrinology, Annals of Clinical Biochemistry International Journal of Laboratory Medicine, Endocrinology, Clinical Science and The Lancet.

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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