M. Udvardy

2.3k citations
99 papers · 1.6k indexed · h-index 23

Impact in

  • Hematology top 2%
    • Platelet Disorders and Treatments
    • Blood Coagulation and Thrombosis Mechanisms
  • Hepatology top 5%
    • Liver Disease and Transplantation

Papers in

    • Platelet Disorders and Treatments 17
    • Acute Myeloid Leukemia Research 9
    • Blood Coagulation and Thrombosis Mechanisms 8
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 15
    • Inflammatory Bowel Disease 8

M. Udvardy

93 papers receiving 1.5k citations

Peers

M. Udvardy
Comparison fields: 5 of 94
  • Hematology 431
  • Hepatology 185
  • Gastroenterology 109
  • Immunology 380
  • Nephrology 100
Replace Giampiero Palmieri with:
Giampiero Palmieri Italy
Graham Hughes United Kingdom
Allan Sturgess Australia
Søren Thue Lillevang Denmark
Billie Fyfe United States
Maria Rosa Valvano Italy
Gerrit van der Steege Netherlands
Kazuteru Ohashi Japan
A M Teppo Finland
Michael G. Alexandrakis Greece
M. Udvardy relative to Giampiero Palmieri Italy Giampiero Palmieri's profile →
Citations per field
00.5×4.9×
Giampiero Palmieri · 1×
Citations per year

Countries citing papers authored by M. Udvardy

Since Specialization
Citations

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

Fields of papers citing papers by M. Udvardy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20231
3 20220
4 20163
5 20126
6 201069
7 201012
8 20102
9 20076
10 200640
11 200548
12 200315
13 200153
14 19985
15 199826
16 19987
17 19955
18 199510
19 19943
20 198714

About M. Udvardy

M. Udvardy is a scholar working on Hematology, Genetics, Internal Medicine, Hepatology and Immunology, having authored 99 papers that have together received 1.6k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (17 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (15 papers), Complement system in diseases (11 papers), Liver Disease and Transplantation (9 papers), Acute Myeloid Leukemia Research (9 papers), Blood Coagulation and Thrombosis Mechanisms (8 papers), Inflammatory Bowel Disease (8 papers) and Blood properties and coagulation (7 papers). The work is most often cited by research in Hematology (431 citations), Hepatology (185 citations), Gastroenterology (109 citations), Immunology (380 citations) and Nephrology (100 citations). M. Udvardy has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include I Altorjay, Jolán Hársfalvi, Mária Papp, Péter L. Lakatos, Károly Palatka, János Kappelmayer, István Tornai, Zsuzsanna Vitális, Gábor Veres and Kálmán Rák. Their work appears in journals such as Platelets, Thrombosis Research, Blood Coagulation & Fibrinolysis, Thrombosis and Haemostasis and Inflammatory Bowel Diseases.

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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2026