Ph. U. Heitz

81 papers receiving 2.1k citations

Peers

Ph. U. Heitz
Comparison fields: 5 of 108
  • Endocrinology, Diabetes and Metabolism 358
  • Neurology 261
  • Cellular and Molecular Neuroscience 316
  • Oncology 352
  • Epidemiology 416
Replace J.M. Polak with:
J.M. Polak United Kingdom
Gérard Saïd France
Heidi Scrable United States
Anders Hægerstrand Sweden
E Satoyoshi Japan
Katsunori Fujii Japan
Hiroshi Inoué Japan
C. Harker Rhodes United States
H Stępień Poland
Shannon E. Dunn Canada
Ph. U. Heitz relative to J.M. Polak United Kingdom J.M. Polak's profile →
Citations per field
00.5×1.7×
J.M. Polak · 1×
Citations per year

Countries citing papers authored by Ph. U. Heitz

Since Specialization
Citations

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

Fields of papers citing papers by Ph. U. Heitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ph. U. Heitz. 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 Ph. U. Heitz. The network helps show where Ph. U. Heitz may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978207
2 1982110
3 1985108
4 1987103
5 1978102
6 1975101
7 198988
8 197884
9 200679
10 198776
11 197667
12 199460
13 198456
14 199454
15 200452
16 198749
17 199249
18 198645
19 198543
20 198041

About Ph. U. Heitz

Ph. U. Heitz is a scholar working on Surgery, Epidemiology, Oncology, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 86 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (17 papers), Neuroblastoma Research and Treatments (7 papers), Pituitary Gland Disorders and Treatments (7 papers), Pancreatic function and diabetes (5 papers), Thyroid Disorders and Treatments (5 papers), Pancreatitis Pathology and Treatment (5 papers), Parathyroid Disorders and Treatments (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (358 citations), Neurology (261 citations), Cellular and Molecular Neuroscience (316 citations), Oncology (352 citations) and Epidemiology (416 citations). Ph. U. Heitz has collaborated with scholars based in Switzerland, Germany and Austria. Frequent co-authors include J. Ulrich, H. Möhler, Toshikazu Okada, John C. Ulrich, A. Probst, A. M. Landolt, G. Bommer, Paul Komminoth, G. Kl�ppel and Jean Claude Reubi. Their work appears in journals such as Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Acta Neuropathologica, The Journal of Clinical Endocrinology & Metabolism, Current topics in pathology and Journal of Molecular Medicine.

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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