V. Stenszky

873 total citations
33 papers, 678 citations indexed

About

V. Stenszky is a scholar working on Immunology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, V. Stenszky has authored 33 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Immunology, 12 papers in Genetics and 9 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in V. Stenszky's work include Diabetes and associated disorders (11 papers), T-cell and B-cell Immunology (11 papers) and Immunodeficiency and Autoimmune Disorders (8 papers). V. Stenszky is often cited by papers focused on Diabetes and associated disorders (11 papers), T-cell and B-cell Immunology (11 papers) and Immunodeficiency and Autoimmune Disorders (8 papers). V. Stenszky collaborates with scholars based in Hungary, Canada and Austria. V. Stenszky's co-authors include Nadir R. Farid, László Kozma, J. C. Bear, Sung-Hong Joe, G. Thomson, Haydeh Payami, S. H. Chan, J. S. Cheah, P P Yeo and Ferenc Juhász and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Cancer and Clinical Endocrinology.

In The Last Decade

V. Stenszky

32 papers receiving 643 citations

Peers

V. Stenszky
Comparison fields: 5 of 62
  • Immunology 307
  • Genetics 284
  • Endocrinology, Diabetes and Metabolism 268
  • Pathology and Forensic Medicine 136
  • Rheumatology 120
Replace John M. Barnard with:
John M. Barnard Canada
C Shimomura Japan
Anna Lucas-Martín Spain
Gillian Coleman United Kingdom
E. Fleischnick United States
Edward J. Fudman United States
Steffen Henning Germany
Simona Lucchi Italy
Norio Haneji Japan
Jacky Bismuth France
John M. Barnard Canada View profile →
Citations per field, relative to V. Stenszky
V. Stenszky · 1×
Citations per year, relative to V. Stenszky
V. Stenszky · 1×

Countries citing papers authored by V. Stenszky

Since Specialization
Citations

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

Fields of papers citing papers by V. Stenszky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Stenszky

This figure shows the co-authorship network connecting the top 25 collaborators of V. Stenszky. A scholar is included among the top collaborators of V. Stenszky based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with V. Stenszky. V. Stenszky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 7
2 10
3 11
4 25
5 26
6
Relative predispositional effects (RPEs) of marker alleles with disease: HLA-DR alleles and Graves disease.
170
7 28
8 6
9 22
10 9
11 23
12 7
13
The association of IgG heavy-chain allotypes (Gm) with Graves' disease in Hungary.
6
14 115
15 9
16
HLA-DR associations with Graves' disease in eastern Hungary.
8
17 4
18 4
19 2
20 5

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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