Z Pósalaky

39 papers receiving 613 citations

Peers

Z Pósalaky
Comparison fields: 5 of 93
  • Reproductive Medicine 139
  • Urology 69
  • Neurology 56
  • Infectious Diseases 65
  • Molecular Biology 231
Replace G Skibiński with:
G Skibiński United Kingdom
Robert Paquin Canada
A.W. Thomson United Kingdom
Viviana Ferlazzo Italy
Tali Lang Australia
M Matsuda Japan
Yoshinori Okamura Japan
Takaaki Ito Japan
Teppei Nakamura Japan
Hugh J. Callahan United States
Z Pósalaky relative to G Skibiński United Kingdom G Skibiński's profile →
Citations per field
00.5×
G Skibiński · 1×
Citations per year

Countries citing papers authored by Z Pósalaky

Since Specialization
Citations

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

Fields of papers citing papers by Z Pósalaky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198294
2 197975
3
Mikrotechnische und histochemische Untersuchungsmethoden
196471
4 197761
5 197736
6 200234
7 198634
8 198228
9
Acute reversible renal failure following jejunoileal bypass for morbid obesity: a clinical and pathological (EM) study of a case.
197722
10 197822
11 198221
12 199017
13 198714
14 198414
15 198913
16 197913
17 198912
18 19809
19 19818
20 19658

About Z Pósalaky

Z Pósalaky is a scholar working on Urology, Neurology, Reproductive Medicine, Dermatology and Nephrology, having authored 40 papers that have together received 668 indexed citations. Recurring topics across this work include Barrier Structure and Function Studies (5 papers), Sperm and Testicular Function (5 papers), Helicobacter pylori-related gastroenterology studies (4 papers), Connexins and lens biology (4 papers), Urological Disorders and Treatments (4 papers), Urinary Bladder and Prostate Research (3 papers), Genital Health and Disease (3 papers) and Cancer and Skin Lesions (2 papers). The work is most often cited by research in Reproductive Medicine (139 citations), Urology (69 citations), Neurology (56 citations), Infectious Diseases (65 citations) and Molecular Biology (231 citations). Z Pósalaky has collaborated with scholars based in United States, Hungary and Canada. Frequent co-authors include Dennis McGinley, Rita Meyer, Martin Porvaznik, Michael T. Osterholm, Lonnie D. Russell, David N. Williams, Robert W. Tofte, Harry Irving Katz, Ansar U. Khan and Bruce S. Cutler. Their work appears in journals such as Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Tissue and Cell, Cells Tissues Organs, Annals of Internal Medicine and Journal of Cutaneous Pathology.

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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