W.‐K. Hofmann
Impact in
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Hematology top 5%
- Acute Myeloid Leukemia Research
Papers in
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- Antifungal resistance and susceptibility 6
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- Epigenetics and DNA Methylation 3
- Renal and related cancers 2
- Co-authors
- B Dörken (1 shared paper)G Moldenhauer (1 shared paper)Reinhard Schwartz‐Albiez (1 shared paper)Nicholas C.P. Cross (4 shared papers)Andreas Reiter (4 shared papers)Peter Valent (3 shared papers)Mohamad Jawhar (3 shared papers)Georgia Metzgeroth (3 shared papers)
- Journals
- Leukemia (4 papers)Mycoses (2 papers)Annals of Hematology (2 papers)Leukemia Research (2 papers)Scientific Reports (1 paper)
- Partner nations
- GermanyUnited KingdomAustria
In The Last Decade
W.‐K. Hofmann
22 papers receiving 921 citations
Peers
Comparison fields: 5 of 64
- Genetics 185
- Hematology 180
- Immunology 298
- Infectious Diseases 196
- Rheumatology 145
Countries citing papers authored by W.‐K. Hofmann
This map shows the geographic impact of W.‐K. Hofmann'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 W.‐K. Hofmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W.‐K. Hofmann more than expected).
Fields of papers citing papers by W.‐K. Hofmann
This network shows the impact of papers produced by W.‐K. Hofmann. 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 W.‐K. Hofmann. The network helps show where W.‐K. Hofmann may publish in the future.
Co-authors
The 25 scholars most cited alongside W.‐K. Hofmann, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 128 | |
| 2 | Mutational analysis of the peroxisome proliferator-activated receptor gamma gene in human malignancies. | 2001 | 118 |
| 3 | 2015 | 98 | |
| 4 | 1988 | 96 | |
| 5 | 2012 | 80 | |
| 6 | 2012 | 64 | |
| 7 | 2016 | 48 | |
| 8 | 2018 | 45 | |
| 9 | 2006 | 39 | |
| 10 | 2011 | 35 | |
| 11 | 2017 | 31 | |
| 12 | 2012 | 30 | |
| 13 | 2015 | 28 | |
| 14 | 2013 | 25 | |
| 15 | 2013 | 23 | |
| 16 | 2014 | 18 | |
| 17 | 2006 | 12 | |
| 18 | 2006 | 7 | |
| 19 | 2014 | 3 | |
| 20 | 2008 | 2 |
About W.‐K. Hofmann
W.‐K. Hofmann is a scholar working on Infectious Diseases, Molecular Biology, Genetics, Epidemiology and Rheumatology, having authored 23 papers that have together received 933 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Eosinophilic Disorders and Syndromes (4 papers), Fungal Infections and Studies (3 papers), Epigenetics and DNA Methylation (3 papers), Mast cells and histamine (3 papers), Renal and related cancers (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Genetics (185 citations), Hematology (180 citations), Immunology (298 citations), Infectious Diseases (196 citations) and Rheumatology (145 citations). W.‐K. Hofmann has collaborated with scholars based in Germany, United Kingdom and Austria. Frequent co-authors include B Dörken, G Moldenhauer, Reinhard Schwartz‐Albiez, Nicholas C.P. Cross, Andreas Reiter, Peter Valent, Mohamad Jawhar, Georgia Metzgeroth, Alice Fabarius and Karl Sotlar. Their work appears in journals such as Leukemia, Mycoses, Annals of Hematology, Leukemia Research and Scientific Reports.
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.