S. Pitz

40 papers receiving 1.1k citations

Peers

S. Pitz
Comparison fields: 5 of 82
  • Ophthalmology 291
  • Pathology and Forensic Medicine 501
  • Endocrinology, Diabetes and Metabolism 360
  • Neurology 219
  • Physiology 197
Replace Rachel Kalmann with:
Rachel Kalmann Netherlands
C Lane United Kingdom
Daniela Gallo Italy
Jonathan C. P. Roos United Kingdom
Tanja Diana Germany
Kirsi Setälä Finland
Ingrid Norheim Sweden
Peter Naeser Sweden
José Mario Sabio Spain
Sophia M. Chung United States
S. Pitz relative to Rachel Kalmann Netherlands Rachel Kalmann's profile →
Citations per field
00.5×3.2×
Rachel Kalmann · 1×
Citations per year

Countries citing papers authored by S. Pitz

Since Specialization
Citations

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

Fields of papers citing papers by S. Pitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005130
2 2006126
3
Expression of intermediate filament proteins in subtypes of renal cell carcinomas and in renal oncocytomas. Distinction of two classes of renal cell tumors.
198795
4 201484
5 200283
6 199674
7 200267
8 201367
9 201548
10 201137
11 201432
12 200430
13 201528
14 200427
15 200320
16 201018
17 200916
18 201116
19 201613
20 200912

About S. Pitz

S. Pitz is a scholar working on Pathology and Forensic Medicine, Ophthalmology, Endocrinology, Diabetes and Metabolism, Epidemiology and Neurology, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ophthalmology and Eye Disorders (19 papers), Pituitary Gland Disorders and Treatments (9 papers), Glaucoma and retinal disorders (7 papers), Meningioma and schwannoma management (4 papers), Advanced Differential Geometry Research (3 papers), Ocular Surface and Contact Lens (3 papers), Neurofibromatosis and Schwannoma Cases (3 papers) and Migraine and Headache Studies (2 papers). The work is most often cited by research in Ophthalmology (291 citations), Pathology and Forensic Medicine (501 citations), Endocrinology, Diabetes and Metabolism (360 citations), Neurology (219 citations) and Physiology (197 citations). S. Pitz has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include George J. Kahaly, Wibke Müller‐Forell, Michael Beck, Katharina A. Ponto, J. Hardt, Frank Petrak, Ulrich T. Egle, W. Thoenes, Stephan Störkel and R. Moll. Their work appears in journals such as Der Ophthalmologe, British Journal of Ophthalmology, Experimental and Clinical Endocrinology & Diabetes, The Journal of Clinical Endocrinology & Metabolism and Clinical & Experimental Immunology.

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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