Günther Eißner

3.3k citations
64 papers · 2.8k · h-index 26

Impact in

  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation

Papers in

    • Hematopoietic Stem Cell Transplantation 14
    • Mesenchymal stem cell research 6

Günther Eißner

63 papers receiving 2.7k citations

Peers

Günther Eißner
Comparison fields: 5 of 75
  • Hematology 605
  • Immunology 260
  • Genetics 115
  • Rheumatology 95
  • Biological Psychiatry 6
Replace Thomas Matthes with:
Thomas Matthes Switzerland
Antonio Pezzutto Germany
Anand Shreeram Lagoo United States
Masatoshi Tateno Japan
Jimmy L. Zhao United States
Hiroshi Handa Japan
Debra D. Pittman United States
Ching‐Cheng Chen United States
Bernard Vanhove France
Dieter Printz Austria
Günther Eißner relative to Thomas Matthes Switzerland Thomas Matthes's profile →
Citations per field
00.5×2×4×6×
Thomas Matthes · 1×
Citations per year

Countries citing papers authored by Günther Eißner

Since Specialization
Citations

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

Fields of papers citing papers by Günther Eißner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004240
2 2004234
3 1997166
4 2000166
5 1995159
6 2002120
7 2002109
8 2020105
9 2000103
10 199485
11 200480
12 199775
13 200965
14 201060
15 199759
16 200358
17 199755
18 200055
19 200555
20 200450

About Günther Eißner

Günther Eißner is a scholar working on Hematology, Genetics, Immunology, Immunology and Allergy and Surgery, having authored 64 papers that have together received 2.8k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (14 papers), Mesenchymal stem cell research (6 papers), Cell Adhesion Molecules Research (3 papers), Effects of Radiation Exposure (3 papers), Cardiac and Coronary Surgery Techniques (3 papers), Immune Response and Inflammation (3 papers), Tissue Engineering and Regenerative Medicine (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Hematology (605 citations), Immunology (260 citations), Genetics (115 citations), Rheumatology (95 citations) and Biological Psychiatry (6 citations). Günther Eißner has collaborated with scholars based in Germany, Ireland and Italy. Frequent co-authors include Ernst Holler, Reinhard Andreesen, Peter Scheurich, Walter Kölch, Gabriele Multhoff, Silvia Kirchner, Silvia Haffner, Matthias Grell, Joachim R. Hahn and Armin Gerbitz. Their work appears in journals such as Blood, Frontiers in Bioengineering and Biotechnology, Transplantation, Bone Marrow Transplantation and Scandinavian Journal of Immunology.

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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