Eva Geissinger

87 papers receiving 3.3k citations

Eva Geissinger's Hit Papers

Gene expression signatures delineate biological and prognostic subgroups in peripheral T-cell lymphoma 2014 · 419 citations
4190+4+8Years since publication100200300400

Peers

Eva Geissinger
Comparison fields: 5 of 95
  • Dermatology 960
  • Pathology and Forensic Medicine 1.8k
  • Oncology 1.1k
  • Immunology 860
  • Genetics 401
Replace Ryo Ichinohasama with:
Ryo Ichinohasama Japan
Luís Colomo Spain
Herbert Aaron Eradat United States
Karen Pulford United Kingdom
Irina Bonzheim Germany
Dominique Leroux France
Eugenia Haralambieva Germany
Debra M. Lillington United Kingdom
Martin‐Leo Hansmann Germany
Mary B. Callanan France
Eva Geissinger relative to Ryo Ichinohasama Japan Ryo Ichinohasama's profile →
Citations per field
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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 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Gene expression signatures delineate biological and prognostic subgroups in peripheral T-cell lymphoma
Hit paper breakdown →
2014419
2 2008342
3 2018164
4 2004160
5 2010133
6 2013123
7 2004120
8
Autocrine stimulation by osteopontin contributes to antiapoptotic signalling of melanocytes in dermal collagen.
200283
9 200281
10 201379
11 200873
12 201772
13 202066
14 201662
15 201462
16 200460
17 201157
18 200954
19 200250
20 201050

About Eva Geissinger

Eva Geissinger is a scholar working on Dermatology, Pathology and Forensic Medicine, Oncology, Genetics and Immunology, having authored 88 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cutaneous lymphoproliferative disorders research (41 papers), Lymphoma Diagnosis and Treatment (37 papers), Chronic Lymphocytic Leukemia Research (11 papers), CAR-T cell therapy research (10 papers), CNS Lymphoma Diagnosis and Treatment (9 papers), Fungal Infections and Studies (6 papers), Immune Cell Function and Interaction (5 papers) and Vascular Tumors and Angiosarcomas (4 papers). The work is most often cited by research in Dermatology (960 citations), Pathology and Forensic Medicine (1.8k citations), Oncology (1.1k citations), Immunology (860 citations) and Genetics (401 citations). Eva Geissinger has collaborated with scholars based in Germany, United States and Italy. 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, British Journal of Dermatology, Acta Dermato Venereologica, Blood and Oncogene.

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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