P. C. Scriba

1.6k citations
52 papers · 990 · h-index 14

Impact in

Papers in

P. C. Scriba

42 papers receiving 908 citations

Peers

P. C. Scriba
Comparison fields: 5 of 99
  • Endocrinology, Diabetes and Metabolism 510
  • Behavioral Neuroscience 32
  • Genetics 135
  • Endocrine and Autonomic Systems 29
  • Gastroenterology 19
Replace D. A. Koutras with:
D. A. Koutras Greece
Robert A. Ulstrom United States
A. B. Parkes United Kingdom
Gisah Amaral de Carvalho Brazil
B. E. W. Brownlie New Zealand
William W. Cleveland United States
P. A. Bastenie Belgium
Fernando Cassorla United States
P. G. Walfish Canada
A. Stuart Mason United Kingdom
P. C. Scriba relative to D. A. Koutras Greece D. A. Koutras's profile →
Citations per field
00.5×2.8×
D. A. Koutras · 1×
Citations per year

Countries citing papers authored by P. C. Scriba

Since Specialization
Citations

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

Fields of papers citing papers by P. C. Scriba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008313
2 1986142
3 1987109
4 197866
5 198948
6 197932
7 199132
8 199631
9 198129
10 198820
11 197917
12 197614
13 198114
14
[CASUS model trial. A computer-assisted author system for problem-oriented learning in medicine].
199613
15 197312
16 198210
17 19809
18 19747
19 19827
20 19806

About P. C. Scriba

P. C. Scriba is a scholar working on Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Physiology and Genetics, having authored 52 papers that have together received 990 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (13 papers), Thyroid Cancer Diagnosis and Treatment (9 papers), Adrenal Hormones and Disorders (5 papers), Radiopharmaceutical Chemistry and Applications (5 papers), Erythrocyte Function and Pathophysiology (4 papers), Health and Medical Studies (3 papers), Metabolism, Diabetes, and Cancer (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (510 citations), Behavioral Neuroscience (32 citations), Genetics (135 citations), Endocrine and Autonomic Systems (29 citations) and Gastroenterology (19 citations). P. C. Scriba has collaborated with scholars based in Germany and United Kingdom. Frequent co-authors include Indra C. Pieters-van den Bos, G. Ruf, J. Brunn, R. Gutekunst, W. G. Wood, O. A. Müller, P. Stubbe, H. J. Friedrich, Michael V. Sofroniew and B. E. Wenzel. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), European Journal of Endocrinology, Acta Neurochirurgica, Nuklearmedizin - NuclearMedicine and Obstetrical & Gynecological Survey.

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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