Zsófia Miltényi

419 citations
51 papers · 293 · h-index 10

Impact in

Papers in

Zsófia Miltényi

45 papers receiving 286 citations

Peers

Zsófia Miltényi
Comparison fields: 5 of 44
  • Pathology and Forensic Medicine 128
  • Oncology 88
  • Genetics 30
  • Neurology 40
  • Hematology 17
Replace Lee Chun Park with:
Lee Chun Park South Korea
Marin Nola Croatia
Bastien Cabarrou France
Annalisa Gabriele Italy
Mark D. Logsdon United States
Shogo Urabe Japan
Renaldo Guzmán Mexico
Edna L. García Mexico
Mohamed Touati Morocco
Lenka Šmardová Czechia
Zsófia Miltényi relative to Lee Chun Park South Korea Lee Chun Park's profile →
Citations per field
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Lee Chun Park · 1×
Citations per year

Countries citing papers authored by Zsófia Miltényi

Since Specialization
Citations

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

Fields of papers citing papers by Zsófia Miltényi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200237
2 200824
3 200719
4 201718
5 201015
6 201113
7 202012
8 200412
9 201411
10 200410
11 20158
12 20038
13 20108
14 20197
15 20107
16 20157
17 20156
18 20076
19 20115
20 20225

About Zsófia Miltényi

Zsófia Miltényi is a scholar working on Pathology and Forensic Medicine, Oncology, Neurology, Hematology and Pulmonary and Respiratory Medicine, having authored 51 papers that have together received 293 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (32 papers), Viral-associated cancers and disorders (9 papers), CNS Lymphoma Diagnosis and Treatment (6 papers), Acute Myeloid Leukemia Research (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Medical Imaging Techniques and Applications (3 papers), Lung Cancer Treatments and Mutations (3 papers) and Blood groups and transfusion (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (128 citations), Oncology (88 citations), Genetics (30 citations), Neurology (40 citations) and Hematology (17 citations). Zsófia Miltényi has collaborated with scholars based in Hungary, United States and Norway. Frequent co-authors include Árpád Illés, Katalin Keresztes, László Váróczy, Lajos Gergely, Csilla András, Sándor Sipka, G Bakó, Ildikó Tar, Judit Tóth and Éva Remenyik. Their work appears in journals such as Pathology & Oncology Research, International Journal of Hematology, Acta Haematologica, Hematological Oncology and Histopathology.

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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