Armin Gerbitz

4.0k citations
107 papers · 2.6k · h-index 23

Impact in

  • Hematology top 0.5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Immunology top 2%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Hematopoietic Stem Cell Transplantation 60
    • Acute Myeloid Leukemia Research 18
    • Immune Cell Function and Interaction 22
    • Immunotherapy and Immune Responses 12
    • T-cell and B-cell Immunology 11

Armin Gerbitz

99 papers receiving 2.5k citations

Peers

Armin Gerbitz
Comparison fields: 5 of 98
  • Hematology 1.4k
  • Immunology 1.1k
  • Transplantation 84
  • Genetics 293
  • Oncology 646
Replace Makoto Onizuka with:
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Armin Gerbitz relative to Makoto Onizuka Japan Makoto Onizuka's profile →
Citations per field
00.5×1.5×
Makoto Onizuka · 1×
Citations per year

Countries citing papers authored by Armin Gerbitz

Since Specialization
Citations

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

Fields of papers citing papers by Armin Gerbitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010243
2 2001229
3 1999201
4 2010161
5 2000146
6 2004141
7 2002109
8 2012101
9 200096
10 201577
11 200073
12 200060
13 201154
14 201951
15 200849
16 201049
17 200447
18 199946
19 200839
20 200434

About Armin Gerbitz

Armin Gerbitz is a scholar working on Hematology, Immunology, Oncology, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 107 papers that have together received 2.6k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (60 papers), Immune Cell Function and Interaction (22 papers), Acute Lymphoblastic Leukemia research (19 papers), Acute Myeloid Leukemia Research (18 papers), Immunotherapy and Immune Responses (12 papers), T-cell and B-cell Immunology (11 papers), Cytomegalovirus and herpesvirus research (11 papers) and Polyomavirus and related diseases (9 papers). The work is most often cited by research in Hematology (1.4k citations), Immunology (1.1k citations), Transplantation (84 citations), Genetics (293 citations) and Oncology (646 citations). Armin Gerbitz has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include James L.M. Ferrara, Ernst Holler, Geoffrey R. Hill, Kenneth R. Cooke, Takanori Teshima, James M. Crawford, Reinhard Andreesen, Andrea Wilke, Yani S. Brinson and Luying Pan. Their work appears in journals such as Blood, European Journal Of Haematology, Transplantation and Cellular Therapy, Biology of Blood and Marrow Transplantation and Bone Marrow Transplantation.

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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