W.‐K. Hofmann
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 4
- Hematology top 5%
- Acute Myeloid Leukemia Research 3
- Chronic Myeloid Leukemia Treatments 3
- Immunology top 10%
- Mast cells and histamine 3
- Rheumatology top 10%
- Eosinophilic Disorders and Syndromes 4
- Infectious Diseases top 10%
- Antifungal resistance and susceptibility 5
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- Fungal Infections and Studies 4
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- Epigenetics and DNA Methylation 3
- Co-authors
- B DörkenReinhard Schwartz‐AlbiezG MoldenhauerNicholas C.P. CrossAndreas ReiterPeter ValentAlice FabariusKarl Sotlar
- Cited by
- GeneticsHematologyImmunology
- Partner nations
- GermanyAustriaUnited Kingdom
In The Last Decade
W.‐K. Hofmann
21 papers receiving 894 citations
Peers
Comparison fields: 5 of 72
- Genetics 203
- Hematology 194
- Immunology 304
- Rheumatology 162
- Infectious Diseases 186
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 45 | |
| 2 | 2017 | 31 | |
| 3 | 2016 | 47 | |
| 4 | 2015 | 126 | |
| 5 | 2015 | 28 | |
| 6 | 2015 | 98 | |
| 7 | 2014 | 3 | |
| 8 | 2013 | 23 | |
| 9 | 2012 | 64 | |
| 10 | 2012 | 80 | |
| 11 | 2012 | 30 | |
| 12 | 2011 | 35 | |
| 13 | 2008 | 2 | |
| 14 | 2007 | 2 | |
| 15 | 2006 | 39 | |
| 16 | 2006 | 12 | |
| 17 | 2006 | 7 | |
| 18 | Mutational analysis of the peroxisome proliferator-activated receptor gamma gene in human malignancies. | 2001 | 118 |
| 19 | [Needs for social medicine competence and developing social medicine competence--essentials for expert consultation]. | 1993 | 1 |
| 20 | 1988 | 96 |
About W.‐K. Hofmann
W.‐K. Hofmann is a scholar working on Genetics, Hematology and Infectious Diseases, having authored 22 papers that have together received 905 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (5 papers), Eosinophilic Disorders and Syndromes (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Fungal Infections and Studies (4 papers), Acute Myeloid Leukemia Research (3 papers), Epigenetics and DNA Methylation (3 papers), Chronic Myeloid Leukemia Treatments (3 papers) and Mast cells and histamine (3 papers). The work is most often cited by research in Genetics (203 citations), Hematology (194 citations) and Immunology (304 citations). W.‐K. Hofmann has collaborated with scholars based in Germany, Austria and United Kingdom. Frequent co-authors include B Dörken, Reinhard Schwartz‐Albiez, G Moldenhauer, Nicholas C.P. Cross, Andreas Reiter, Peter Valent, Alice Fabarius, Karl Sotlar, Mohamad Jawhar and Juliana Schwaab. Their work appears in journals such as Leukemia, Annals of Hematology, Leukemia Research, Mycoses and The Journal of Immunology.
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.