Mihály Józsi

7.2k citations
96 papers · 5.0k indexed · h-index 40
  • Nephrology top 0.2%
    • Renal Diseases and Glomerulopathies 21
  • Immunology top 0.5%
    • Complement system in diseases 73
    • Biomarkers in Disease Mechanisms 10
  • Hematology top 0.5%
    • Blood groups and transfusion 15
    • Platelet Disorders and Treatments 11
    • Blood Coagulation and Thrombosis Mechanisms 10
  • Physiology top 1%
    • Erythrocyte Function and Pathophysiology 21
    • Hemoglobinopathies and Related Disorders 8

Mihály Józsi

93 papers receiving 5.0k citations

Peers

Mihály Józsi
Comparison fields: 5 of 105
  • Nephrology 1.8k
  • Immunology 4.0k
  • Hematology 1.7k
  • Physiology 264
  • Transplantation 155
Replace Viviana P. Ferreira with:
Viviana P. Ferreira United States
Jörg Schubert Germany
Cordula Stover United Kingdom
József Dobó Hungary
Jens Christian Jensenius Denmark
John P. Atkinson United States
D T Fearon United States
Rudolf A. Manz Germany
J. G. P. Sissons United Kingdom
Anders G. Sjöholm Sweden
Mihály Józsi relative to Viviana P. Ferreira United States Viviana P. Ferreira's profile →
Citations per field
00.5×4.4×
Viviana P. Ferreira · 1×
Citations per year

Countries citing papers authored by Mihály Józsi

Since Specialization
Citations

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

Fields of papers citing papers by Mihály Józsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20241
5 202410
6 20226
7 201918
8 201924
9 201816
10 201525
11 201536
12 201314
13 201156
14 201160
15 200986
16 200939
17 2005168
18 2005105
19 2003288
20 20012

About Mihály Józsi

Mihály Józsi is a scholar working on Immunology, Hematology and Nephrology, having authored 96 papers that have together received 5.0k indexed citations. Recurring topics across this work include Complement system in diseases (73 papers), Erythrocyte Function and Pathophysiology (21 papers), Renal Diseases and Glomerulopathies (21 papers), Blood groups and transfusion (15 papers), Platelet Disorders and Treatments (11 papers), Biomarkers in Disease Mechanisms (10 papers), Blood Coagulation and Thrombosis Mechanisms (10 papers) and Hemoglobinopathies and Related Disorders (8 papers). The work is most often cited by research in Nephrology (1.8k citations), Immunology (4.0k citations) and Hematology (1.7k citations). Mihály Józsi has collaborated with scholars based in Hungary, Germany and Spain. Frequent co-authors include Peter F. Zipfel, Christine Skerka, Stefan Heinen, Stefanie Reuter, Mario Hebecker, Barbara Uzonyi, Christoph Licht, Heiko Richter, Martin Oppermann and Seppo Meri. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

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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