Günter Eisele

1.6k citations
28 papers · 1.4k · h-index 17

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune cells in cancer

Papers in

    • Glioma Diagnosis and Treatment 10
    • Immune Cell Function and Interaction 5
    • Immunotherapy and Immune Responses 4
    • Immune cells in cancer 3
    • T-cell and B-cell Immunology 3

Günter Eisele

28 papers receiving 1.3k citations

Peers

Günter Eisele
Comparison fields: 5 of 92
  • Genetics 268
  • Immunology 468
  • Oncology 438
  • Cancer Research 237
  • Neurology 107
Replace Raghuveer Singh Mali with:
Raghuveer Singh Mali United States
Yasuo Tohma Japan
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Citations per field
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Citations per year

Countries citing papers authored by Günter Eisele

Since Specialization
Citations

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

Fields of papers citing papers by Günter Eisele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004264
2 2006196
3 2011184
4 200290
5 201173
6 201452
7 201352
8 201449
9 201548
10 201241
11 201040
12 201839
13 201139
14 200838
15 201623
16 202017
17 200917
18 200817
19 201315
20 201812

About Günter Eisele

Günter Eisele is a scholar working on Genetics, Immunology, Oncology, Neurology and Cancer Research, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (10 papers), Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (4 papers), Cell death mechanisms and regulation (3 papers), Immune cells in cancer (3 papers), Brain Metastases and Treatment (3 papers), T-cell and B-cell Immunology (3 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Genetics (268 citations), Immunology (468 citations), Oncology (438 citations), Cancer Research (237 citations) and Neurology (107 citations). Günter Eisele has collaborated with scholars based in Switzerland, Germany and Poland. Frequent co-authors include Michael Weller, Jörg Wischhusen, Patrick A. Roth, Wolfgang Wick, Alexander Steinle, Markus Weiler, Manuel Alexander Friese, Caroline Happold, Fabian Wolpert and Silvia Höfer. Their work appears in journals such as Journal of Neuro-Oncology, Neuro-Oncology, Journal of Clinical Microbiology, Journal of Neurochemistry and Parkinsonism & Related Disorders.

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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