H. Daus
Impact in
-
- Lymphoma Diagnosis and Treatment
- Genetic factors in colorectal cancer
- Microbiology top 10%
Papers in ⓘ
-
- Lymphoma Diagnosis and Treatment 12
-
- Mycobacterium research and diagnosis 3
- Cytomegalovirus and herpesvirus research 3
- Co-authors
- Michael Pfreundschuh (15 shared papers)G. Kümel (4 shared papers)Lorenz Trümper (8 shared papers)Angela Gause (6 shared papers)Frederike von Bonin (5 shared papers)Judith Roth (2 shared papers)Hanswalter Zentgraf (1 shared paper)Harald Mauch (3 shared papers)
- Journals
- Annals of Hematology (3 papers)Annals of Oncology (2 papers)International Journal of Cancer (2 papers)Blood (1 paper)British Journal of Cancer (1 paper)
- Partner nations
- GermanyItalyUnited Kingdom
In The Last Decade
H. Daus
27 papers receiving 513 citations
Peers
Comparison fields: 5 of 69
- Pathology and Forensic Medicine 236
- Microbiology 8
- Oncology 214
- Genetics 83
- Immunology 111
Countries citing papers authored by H. Daus
This map shows the geographic impact of H. Daus'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 H. Daus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Daus more than expected).
Fields of papers citing papers by H. Daus
This network shows the impact of papers produced by H. Daus. 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 H. Daus. The network helps show where H. Daus may publish in the future.
Co-authors
The 25 scholars most cited alongside H. Daus, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 65 | |
| 2 | 1994 | 62 | |
| 3 | 1994 | 46 | |
| 4 | 2001 | 42 | |
| 5 | 1979 | 35 | |
| 6 | 1998 | 32 | |
| 7 | 1995 | 30 | |
| 8 | 2002 | 28 | |
| 9 | 1994 | 26 | |
| 10 | 1998 | 23 | |
| 11 | 1989 | 22 | |
| 12 | 1998 | 21 | |
| 13 | 1997 | 17 | |
| 14 | 1997 | 16 | |
| 15 | 1999 | 16 | |
| 16 | 1987 | 11 | |
| 17 | N-ras genes are not mutated in Hodgkin and Reed-Sternberg cells: results from single cell polymerase chain-reaction examinations. | 1996 | 10 |
| 18 | 1996 | 8 | |
| 19 | Analysis of the soluble cytoplasmic components of Mycobacteria and Nocardia by crossed immunoelectrofocusing. | 1982 | 8 |
| 20 | 1988 | 7 |
About H. Daus
H. Daus is a scholar working on Pathology and Forensic Medicine, Epidemiology, Genetics, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 29 papers that have together received 541 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (12 papers), Chronic Lymphocytic Leukemia Research (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), T-cell and B-cell Immunology (3 papers), Mycobacterium research and diagnosis (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Cancer Genomics and Diagnostics (3 papers) and Pancreatic and Hepatic Oncology Research (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (236 citations), Microbiology (8 citations), Oncology (214 citations), Genetics (83 citations) and Immunology (111 citations). H. Daus has collaborated with scholars based in Germany, Italy and United Kingdom. Frequent co-authors include Michael Pfreundschuh, G. Kümel, Lorenz Trümper, Angela Gause, Frederike von Bonin, Judith Roth, Hanswalter Zentgraf, Harald Mauch, Stefan Schrader and Martin Brendel. Their work appears in journals such as Annals of Hematology, Annals of Oncology, International Journal of Cancer, Blood and British 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.