Eva Oswald

733 citations
40 papers · 506 · h-index 12

Impact in

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

Papers in

Eva Oswald

37 papers receiving 500 citations

Peers

Eva Oswald
Comparison fields: 5 of 87
  • Immunology 169
  • Dermatology 58
  • Immunology and Allergy 33
  • Pathology and Forensic Medicine 70
  • Oncology 95
Replace Marı́a L. Lamelas with:
Marı́a L. Lamelas Spain
Diana Whaley United States
Irina Lerman United States
Guisheng Yang Canada
Joanna E. Richards United States
Premkumar Vummidi Giridhar United States
Hiroki Mizuno Japan
Pu Cheng China
Trenton L. Place United States
Yoshihiro Umezawa Japan
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Citations per field
00.5×7.3×
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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014133
2 201593
3 200855
4 202124
5 201223
6 201019
7 202217
8 201714
9 202314
10 202112
11 201912
12 202211
13 201211
14 201911
15 20229
16 20079
17 20214
18 20224
19
Supervised and Unsupervised Cell-Nuclei Detection in Immunohistology
20194
20
[Lymphoreticulosis with macroglobulinemia].
19564

About Eva Oswald

Eva Oswald is a scholar working on Oncology, Pathology and Forensic Medicine, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Biotechnology, having authored 40 papers that have together received 506 indexed citations. Recurring topics across this work include Cancer Research and Treatments (6 papers), Cancer Cells and Metastasis (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Autoimmune Bullous Skin Diseases (4 papers), Cell Image Analysis Techniques (4 papers), 3D Printing in Biomedical Research (4 papers), HER2/EGFR in Cancer Research (3 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers). The work is most often cited by research in Immunology (169 citations), Dermatology (58 citations), Immunology and Allergy (33 citations), Pathology and Forensic Medicine (70 citations) and Oncology (95 citations). Eva Oswald has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Thilo Jakob, Stefan F. Martin, Julia Schüler, Janka Zsófia Csepregi, Tamás Németh, Anne Dudeck, László G. Puskás, Felix Weber, Axel Roers and Béla Ózsvári. Their work appears in journals such as Cancer Research, Scientific Reports, Chemistry - A European Journal, Neurology Neuroimmunology & Neuroinflammation 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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