S. Pitz

49 papers receiving 2.1k citations

Peers

S. Pitz
Comparison fields: 5 of 68
  • Pathology and Forensic Medicine 1.4k
  • Ophthalmology 137
  • Endocrinology, Diabetes and Metabolism 169
  • Radiology, Nuclear Medicine and Imaging 141
  • Physiology 146
Replace Catherine J. Hwang with:
Catherine J. Hwang United States
Sunil K Agarwal United States
Martin Krakauer Denmark
Patrick J. Oliverio United States
Shin Kwang Khang South Korea
Nina Boulman Israel
Pieter TE Postema Netherlands
Marta García‐Granero Spain
EVA HEDFORS Sweden
Carlos M. Lavalle Mexico
S. Pitz relative to Catherine J. Hwang United States Catherine J. Hwang's profile →
Citations per field
00.5×2×4×6×8×9.7×
Catherine J. Hwang · 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 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006249
2 2006236
3 2003177
4 2005155
5 2006147
6 2008134
7 2017127
8 2002106
9
Expression of intermediate filament proteins in subtypes of renal cell carcinomas and in renal oncocytomas. Distinction of two classes of renal cell tumors.
1987100
10 199695
11 201491
12 200285
13 201368
14 201550
15 201141
16 200436
17 201435
18 201530
19 202028
20 200324

About S. Pitz

S. Pitz is a scholar working on Pathology and Forensic Medicine, Ophthalmology, Neurology, Insect Science and Dermatology, having authored 54 papers that have together received 2.2k indexed citations. Recurring topics across this work include Ophthalmology and Eye Disorders (32 papers), Ocular Oncology and Treatments (5 papers), Forensic Entomology and Diptera Studies (3 papers), Lysosomal Storage Disorders Research (2 papers), Ocular Infections and Treatments (2 papers), Neurofibromatosis and Schwannoma Cases (2 papers), Reconstructive Facial Surgery Techniques (2 papers) and Cerebral Venous Sinus Thrombosis (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.4k citations), Ophthalmology (137 citations), Endocrinology, Diabetes and Metabolism (169 citations), Radiology, Nuclear Medicine and Imaging (141 citations) and Physiology (146 citations). S. Pitz has collaborated with scholars based in Germany, Italy and United Kingdom. Frequent co-authors include George Jean Kahaly, Wibke Müller‐Forell, Ulrich Tiber Egle, J. Hardt, Frank Petrak, Michael Beck, Katharina A. Ponto, Gerhard Hommel, Wolfgang Thoenes and R. Moll. Their work appears in journals such as British Journal of Ophthalmology, Der Ophthalmologe, The Journal of Clinical Endocrinology & Metabolism, Experimental and Clinical Endocrinology & Diabetes and European Journal of 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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