Gerd E. Schmahl
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
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- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
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- Epigenetics and DNA Methylation 1
- Protein Degradation and Inhibitors 1
- Histone Deacetylase Inhibitors Research 1
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- Acute Myeloid Leukemia Research 4
- Co-authors
- Stephan Störkel (3 shared papers)Derek Atkins (3 shared papers)Soldano Ferrone (2 shared papers)Barbara Seliger (2 shared papers)Christiane Rakozy (1 shared paper)Christian Flotho (2 shared papers)Stefan Störkel (1 shared paper)Priska Binner (1 shared paper)
- Journals
- The Journal of Urology (1 paper)Blood Cells Molecules and Diseases (1 paper)Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin (1 paper)Leukemia (1 paper)International Journal of Cancer (1 paper)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Gerd E. Schmahl
9 papers receiving 460 citations
Peers
Comparison fields: 5 of 41
- Hematology 99
- Immunology 133
- Genetics 62
- Oncology 112
- Pulmonary and Respiratory Medicine 119
Countries citing papers authored by Gerd E. Schmahl
This map shows the geographic impact of Gerd E. Schmahl'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 Gerd E. Schmahl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerd E. Schmahl more than expected).
Fields of papers citing papers by Gerd E. Schmahl
This network shows the impact of papers produced by Gerd E. Schmahl. 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 Gerd E. Schmahl. The network helps show where Gerd E. Schmahl may publish in the future.
Co-authors
The 24 scholars most cited alongside Gerd E. Schmahl, 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 | 1999 | 133 | |
| 2 | 2003 | 106 | |
| 3 | 2002 | 105 | |
| 4 | 2004 | 80 | |
| 5 | 2005 | 17 | |
| 6 | 1997 | 13 | |
| 7 | 1997 | 6 | |
| 8 | 1999 | 1 | |
| 9 | 1999 | 1 |
About Gerd E. Schmahl
Gerd E. Schmahl is a scholar working on Molecular Biology, Hematology, Genetics, Pulmonary and Respiratory Medicine and Immunology, having authored 9 papers that have together received 462 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Renal cell carcinoma treatment (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Epigenetics and DNA Methylation (1 paper), Acute Lymphoblastic Leukemia research (1 paper), Cancer Genomics and Diagnostics (1 paper), Protein Degradation and Inhibitors (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Hematology (99 citations), Immunology (133 citations), Genetics (62 citations), Oncology (112 citations) and Pulmonary and Respiratory Medicine (119 citations). Gerd E. Schmahl has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Stephan Störkel, Derek Atkins, Soldano Ferrone, Barbara Seliger, Christiane Rakozy, Christian Flotho, Stefan Störkel, Priska Binner, J. Ritterbach and CM Niemeyer. Their work appears in journals such as The Journal of Urology, Blood Cells Molecules and Diseases, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Leukemia and International Journal of Cancer.
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.