Eva Oswald

714 citations
39 papers · 493 · h-index 12

Impact in

    • Immunodeficiency and Autoimmune Disorders
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
  • Dermatology top 10%
    • Dermatology and Skin Diseases

Papers in

Eva Oswald

36 papers receiving 486 citations

Peers

Eva Oswald
Comparison fields: 5 of 87
  • Immunology 187
  • Dermatology 66
  • Immunology and Allergy 37
  • Genetics 46
  • Oncology 110
Replace Marı́a L. Lamelas with:
Marı́a L. Lamelas Spain
Jeng‐Wei Tjiu Taiwan
Premkumar Vummidi Giridhar United States
Trenton L. Place United States
Joanna E. Richards United States
Qingang Hu China
Marián Novak United States
Péter Balla Hungary
Violetta V. Leshchenko United States
Daniela Achkova United Kingdom
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Citations per field
00.5×4.1×
Marı́a L. Lamelas · 1×
Citations per year

Countries citing papers authored by Eva Oswald

Since Specialization
Citations

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

Fields of papers citing papers by Eva Oswald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014131
2 201592
3 200853
4 202123
5 201223
6 201019
7 202216
8 201714
9 202313
10 201912
11 201211
12 202111
13 201911
14 202210
15 20229
16 20079
17
[Lymphoreticulosis with macroglobulinemia].
19564
18 20224
19
Supervised and Unsupervised Cell-Nuclei Detection in Immunohistology
20194
20 20233

About Eva Oswald

Eva Oswald is a scholar working on Oncology, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Biotechnology, having authored 39 papers that have together received 493 indexed citations. Recurring topics across this work include Cancer Research and Treatments (6 papers), Cancer Cells and Metastasis (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Cell Image Analysis Techniques (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Autoimmune Bullous Skin Diseases (4 papers), 3D Printing in Biomedical Research (4 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers). The work is most often cited by research in Immunology (187 citations), Dermatology (66 citations), Immunology and Allergy (37 citations), Genetics (46 citations) and Oncology (110 citations). Eva Oswald has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Thilo Jakob, Stefan F. Martin, Attila Mócsai, Janka Zsófia Csepregi, Axel Roers, László G. Puskás, Felix Weber, Béla Ózsvári, Anne Dudeck and Tamás Németh. Their work appears in journals such as Cancer Research, Scientific Reports, Neurology Neuroimmunology & Neuroinflammation, Chemistry - A European Journal and ChemElectroChem.

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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