Gerhard Held
Impact in
- Hematology top 0.2%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Pathology and Forensic Medicine top 0.5%
- Lymphoma Diagnosis and Treatment
Papers in
-
- Lymphoma Diagnosis and Treatment 56
- Hematology 49
- Acute Myeloid Leukemia Research 41
- Co-authors
- Michael G. Pfreundschuh (47 shared papers)Takao Morohoshi (2 shared papers)Günter Klöppel (1 shared paper)Christoph Renner (15 shared papers)Niels Murawski (14 shared papers)Carsten Zwick (15 shared papers)Samira Zeynalova (10 shared papers)Norbert Schmitz (13 shared papers)
In The Last Decade
Gerhard Held
184 papers receiving 7.4k citations
Gerhard Held's Hit Papers
Peers
Comparison fields: 5 of 124
- Hematology 3.3k
- Pathology and Forensic Medicine 1.3k
- Atmospheric Science 638
- Immunology 617
- Oncology 702
Countries citing papers authored by Gerhard Held
This map shows the geographic impact of Gerhard Held'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 Gerhard Held with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerhard Held more than expected).
Fields of papers citing papers by Gerhard Held
This network shows the impact of papers produced by Gerhard Held. 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 Gerhard Held. The network helps show where Gerhard Held may publish in the future.
Co-authors
The 25 scholars most cited alongside Gerhard Held, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 189 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | TP53 alterations in acute myeloid leukemia with complex karyotype correlate with specific copy number alterations, monosomal karyotype, and dismal outcome Hit paper breakdown → | 2011 | 566 |
| 2 | 2010 | 395 | |
| 3 | 2011 | 348 | |
| 4 | 2014 | 346 | |
| 5 | 2018 | 244 | |
| 6 | 1983 | 231 | |
| 7 | 2005 | 231 | |
| 8 | 2016 | 218 | |
| 9 | 2012 | 211 | |
| 10 | 2014 | 181 | |
| 11 | 2019 | 177 | |
| 12 | 2014 | 175 | |
| 13 | 2012 | 161 | |
| 14 | 2012 | 151 | |
| 15 | 2017 | 147 | |
| 16 | 2013 | 133 | |
| 17 | 2011 | 132 | |
| 18 | 2012 | 130 | |
| 19 | 2013 | 119 | |
| 20 | 2014 | 105 |
About Gerhard Held
Gerhard Held is a scholar working on Pathology and Forensic Medicine, Hematology, Atmospheric Science, Immunology and Global and Planetary Change, having authored 189 papers that have together received 7.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (56 papers), Acute Myeloid Leukemia Research (41 papers), Meteorological Phenomena and Simulations (20 papers), Atmospheric chemistry and aerosols (19 papers), Atmospheric aerosols and clouds (12 papers), Atmospheric Ozone and Climate (11 papers), Immunotherapy and Immune Responses (11 papers) and T-cell and B-cell Immunology (10 papers). The work is most often cited by research in Hematology (3.3k citations), Pathology and Forensic Medicine (1.3k citations), Atmospheric Science (638 citations), Immunology (617 citations) and Oncology (702 citations). Gerhard Held has collaborated with scholars based in Germany, Brazil and France. Frequent co-authors include Michael G. Pfreundschuh, Takao Morohoshi, Günter Klöppel, Christoph Renner, Niels Murawski, Carsten Zwick, Samira Zeynalova, Norbert Schmitz, Marita Ziepert and Viola Poeschel. Their work appears in journals such as Blood, Leukemia, Atmospheric chemistry and physics, Journal of Clinical Oncology and Haematologica.
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.