Marion Nagy

3.1k citations
56 papers · 1.4k · h-index 22

Impact in

  • Genetics top 2%
    • Forensic and Genetic Research
    • Genetic diversity and population structure
    • Race, Genetics, and Society
  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research

Papers in

    • Forensic and Genetic Research 21
    • Genetic diversity and population structure 7
    • Molecular Biology Techniques and Applications 10

Marion Nagy

53 papers receiving 1.4k citations

Peers

Marion Nagy
Comparison fields: 5 of 112
  • Genetics 767
  • Hematology 279
  • Transplantation 44
  • Archeology 111
  • Immunology 169
Replace Ronny Decorte with:
Ronny Decorte Belgium
B. Boettcher Australia
J. Tréjaut Taiwan
Jean‐Michel Dugoujon France
Alicia Sanchez‐Mazas Switzerland
Carlos Vullo Argentina
S. Rendine Italy
Jorge Martı́nez-Laso Spain
A. Arnaiz‐Villena Spain
A.V.S. Hill United Kingdom
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Citations per field
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Ronny Decorte · 1×
Citations per year

Countries citing papers authored by Marion Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Marion Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000295
2 2000102
3 200563
4 200361
5 199456
6 199752
7 201451
8 200847
9 199944
10 200841
11 201540
12 200839
13 200538
14 199838
15 199932
16 201232
17 201031
18 200725
19 200225
20 199924

About Marion Nagy

Marion Nagy is a scholar working on Genetics, Molecular Biology, Immunology, Hematology and Oncology, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include Forensic and Genetic Research (21 papers), Molecular Biology Techniques and Applications (10 papers), T-cell and B-cell Immunology (9 papers), Hematopoietic Stem Cell Transplantation (9 papers), Genetic diversity and population structure (7 papers), Immune Cell Function and Interaction (6 papers), Immunodeficiency and Autoimmune Disorders (5 papers) and Polyomavirus and related diseases (4 papers). The work is most often cited by research in Genetics (767 citations), Hematology (279 citations), Transplantation (44 citations), Archeology (111 citations) and Immunology (169 citations). Marion Nagy has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Lutz Roewer, Manfred Kayser, Michael Krawczak, Peter de Knijff, Mark Stoneking, R. Szibor, Lotte Henke, Bernd Dörken, Minttu Hedman and Gero Massenkeil. Their work appears in journals such as Forensic Science International Genetics, Forensic Science International, Electrophoresis, Bone Marrow Transplantation and International Journal of Legal Medicine.

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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