Hajna Losonczy

993 citations
50 papers · 686 indexed · h-index 9

Hajna Losonczy

46 papers receiving 662 citations

Peers

Hajna Losonczy
Comparison fields: 5 of 85
  • Internal Medicine 187
  • Hematology 258
  • Cardiology and Cardiovascular Medicine 324
  • Critical Care and Intensive Care Medicine 61
  • Biochemistry 47
Replace A. Schwarz with:
A. Schwarz Germany
R. Großmann Germany
M. Blombäck Sweden
Paula F. Ypma Netherlands
Shu He Sweden
Akio Hirayama Japan
G Patrassi Italy
Chika Uotani Japan
H. Lackner United States
Anna Ågren Sweden
Hajna Losonczy relative to A. Schwarz Germany A. Schwarz's profile →
Citations per field
00.5×10×12.7×
A. Schwarz · 1×
Citations per year

Countries citing papers authored by Hajna Losonczy

Since Specialization
Citations

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

Fields of papers citing papers by Hajna Losonczy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201716
2 20174
3 201338
4 201111
5 20083
6 20068
7 20058
8 20050
9 20047
10
[Conclusions of consensus development conferences on the prevention and treatment of venous thromboembolism].
20031
11 20017
12 200029
13 20002
14
[Incidence of factor V G1681A (Leiden) mutation in samplings from the Hungarian population].
19985
15 19931
16 19935
17 19915
18
Activation of haemostasis by combined chemotherapy.
19872
19
[Recurrent thromboembolism in children caused by hereditary antithrombin III deficiency].
19751
20 19755

About Hajna Losonczy

Hajna Losonczy is a scholar working on Internal Medicine, Hematology and Genetics, having authored 50 papers that have together received 686 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (13 papers), Blood Coagulation and Thrombosis Mechanisms (11 papers), Venous Thromboembolism Diagnosis and Management (11 papers), Lymphoma Diagnosis and Treatment (10 papers), Chronic Myeloid Leukemia Treatments (7 papers), Acute Myocardial Infarction Research (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Eosinophilic Disorders and Syndromes (3 papers). The work is most often cited by research in Internal Medicine (187 citations), Hematology (258 citations) and Cardiology and Cardiovascular Medicine (324 citations). Hajna Losonczy has collaborated with scholars based in Hungary, France and Germany. Frequent co-authors include Orsolya Tóth, Sandra Penz, Wolfgang Siess, Pèter Németh, Tímea Berki, László Pótó, Ágnes Nagy, Ágnes Péterfalvi, Gábor L. Kovaćs and Attila Tar. Their work appears in journals such as Blood, Life Sciences and British Journal of Haematology.

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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