Eva Geissinger

75 papers receiving 2.3k citations

Peers

Eva Geissinger
Comparison fields: 5 of 88
  • Pathology and Forensic Medicine 1.1k
  • Dermatology 531
  • Oncology 730
  • Immunology 569
  • Genetics 241
Replace Irina Bonzheim with:
Irina Bonzheim Germany
Eugenia Haralambieva Germany
Barbara Bigerna Italy
Francisca I. Camacho Spain
Antonella Aiello Italy
Roberta Pacini Italy
Endi Wang United States
Yoshihiko Hoshida Japan
Puthiyaveettil N. Raghunath United States
Katrina Wood United Kingdom
Eva Geissinger relative to Irina Bonzheim Germany Irina Bonzheim's profile →
Citations per field
00.5×1.5×2.2×
Irina Bonzheim · 1×
Citations per year

Countries citing papers authored by Eva Geissinger

Since Specialization
Citations

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

Fields of papers citing papers by Eva Geissinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008291
2 2004142
3 2013115
4 2004108
5 2010105
6
Autocrine stimulation by osteopontin contributes to antiapoptotic signalling of melanocytes in dermal collagen.
200278
7 200276
8 201371
9 200867
10 202061
11 201761
12 201456
13 201652
14 201151
15 200450
16 200249
17 202047
18 200944
19 201043
20 200441

About Eva Geissinger

Eva Geissinger is a scholar working on Pathology and Forensic Medicine, Dermatology, Oncology, Molecular Biology and Immunology, having authored 79 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cutaneous lymphoproliferative disorders research (33 papers), Lymphoma Diagnosis and Treatment (32 papers), CAR-T cell therapy research (10 papers), Chronic Lymphocytic Leukemia Research (10 papers), CNS Lymphoma Diagnosis and Treatment (8 papers), Fungal Infections and Studies (5 papers), Immune Cell Function and Interaction (5 papers) and Viral-associated cancers and disorders (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.1k citations), Dermatology (531 citations), Oncology (730 citations), Immunology (569 citations) and Genetics (241 citations). Eva Geissinger has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Sabine Roth, Andreas Rosenwald, Thomas Rüdiger, Hans Konrad Müller‐Hermelink, Peter Reimer, Manfred Schartl, Claudia Wellbrock, Marion Wobser, Norbert Schmitz and Irina Bonzheim. Their work appears in journals such as Journal of Cutaneous Pathology, Acta Dermato Venereologica, Oncogene, British Journal of Dermatology and Blood.

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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