Guido Meierhoff
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Hematology top 10%
- Acute Myeloid Leukemia Research
Papers in
- Co-authors
- Hubert Kolb (2 shared papers)Nanette C. Schloot (6 shared papers)Sascha Flohé (1 shared paper)Stefanie B. Flohé (1 shared paper)Jutta Brüggemann (1 shared paper)Sven Lendemans (1 shared paper)Hilmar Quentmeier (2 shared papers)Olivier Rosnet (2 shared papers)
- Journals
- Journal of Autoimmunity (2 papers)Diabetes/Metabolism Research and Reviews (2 papers)Inflammation Research (1 paper)The Journal of Immunology (1 paper)Immunobiology (1 paper)
- Partner nations
- GermanyHungaryUnited States
In The Last Decade
Guido Meierhoff
10 papers receiving 564 citations
Peers
Comparison fields: 5 of 76
- Immunology 231
- Hematology 120
- Endocrinology, Diabetes and Metabolism 124
- Genetics 186
- Genetics 52
Countries citing papers authored by Guido Meierhoff
This map shows the geographic impact of Guido Meierhoff'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 Guido Meierhoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guido Meierhoff more than expected).
Fields of papers citing papers by Guido Meierhoff
This network shows the impact of papers produced by Guido Meierhoff. 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 Guido Meierhoff. The network helps show where Guido Meierhoff may publish in the future.
Co-authors
The 25 scholars most cited alongside Guido Meierhoff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 183 | |
| 2 | Expression of FLT3 receptor and FLT3-ligand in human leukemia-lymphoma cell lines. | 1995 | 92 |
| 3 | 2006 | 76 | |
| 4 | 2003 | 63 | |
| 5 | Effects of FLT3 ligand on human leukemia cells. I. Proliferative response of myeloid leukemia cells. | 1996 | 39 |
| 6 | 1998 | 36 | |
| 7 | 2002 | 33 | |
| 8 | 2009 | 30 | |
| 9 | 2005 | 21 | |
| 10 | 2005 | 12 |
About Guido Meierhoff
Guido Meierhoff is a scholar working on Genetics, Surgery, Immunology, Molecular Biology and Cell Biology, having authored 10 papers that have together received 585 indexed citations. Recurring topics across this work include Diabetes and associated disorders (5 papers), Pancreatic function and diabetes (4 papers), Immune Cell Function and Interaction (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Heat shock proteins research (2 papers), Immunotherapy and Immune Responses (2 papers), Hepatitis B Virus Studies (1 paper) and Diabetes Management and Research (1 paper). The work is most often cited by research in Immunology (231 citations), Hematology (120 citations), Endocrinology, Diabetes and Metabolism (124 citations), Genetics (186 citations) and Genetics (52 citations). Guido Meierhoff has collaborated with scholars based in Germany, Hungary and United States. Frequent co-authors include Hubert Kolb, Nanette C. Schloot, Sascha Flohé, Stefanie B. Flohé, Jutta Brüggemann, Sven Lendemans, Hilmar Quentmeier, Olivier Rosnet, Daniel Birnbaum and Patrick A. Ott. Their work appears in journals such as Journal of Autoimmunity, Diabetes/Metabolism Research and Reviews, Inflammation Research, The Journal of Immunology and Immunobiology.
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.