Klaus‐Dieter Preuss
- Immunology top 10%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Pathology and Forensic Medicine top 10%
- Oncology
- Co-authors
- Michael PfreundschuhEvi RegitzNatalie FadleFrank NeumannCarsten ZwickBoris KubuschokLorenz ThurnerManfred Ahlgrimm
- Topics
- Monoclonal and Polyclonal Antibodies Research (18 papers)Lymphoma Diagnosis and Treatment (15 papers)Chronic Lymphocytic Leukemia Research (12 papers)
- Cited by
- ImmunologyGeneticsHematology
- Journals
- Journal of Clinical InvestigationSHILAP Revista de lepidopterologíaBlood
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Klaus‐Dieter Preuss
47 papers receiving 941 citations
Peers
Comparison fields: 5 of 70
- Immunology 414
- Molecular Biology 401
- Radiology, Nuclear Medicine and Imaging 173
- Pathology and Forensic Medicine 167
- Oncology 161
Countries citing papers authored by Klaus‐Dieter Preuss
This map shows the geographic impact of Klaus‐Dieter Preuss'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 Klaus‐Dieter Preuss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Klaus‐Dieter Preuss more than expected).
Fields of papers citing papers by Klaus‐Dieter Preuss
This network shows the impact of papers produced by Klaus‐Dieter Preuss. 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 Klaus‐Dieter Preuss. The network helps show where Klaus‐Dieter Preuss may publish in the future.
Co-authorship network of co-authors of Klaus‐Dieter Preuss
This figure shows the co-authorship network connecting the top 25 collaborators of Klaus‐Dieter Preuss. A scholar is included among the top collaborators of Klaus‐Dieter Preuss based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Klaus‐Dieter Preuss. Klaus‐Dieter Preuss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 5 | |
| 4 | 13 | |
| 5 | 4 | |
| 6 | 17 | |
| 7 | 37 | |
| 8 | 5 | |
| 9 | 55 | |
| 10 | 12 | |
| 11 | 4 | |
| 12 | 27 | |
| 13 | 33 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 9 | |
| 17 | 22 | |
| 18 | 71 | |
| 19 | 41 | |
| 20 | 33 |
About Klaus‐Dieter Preuss
Klaus‐Dieter Preuss is a scholar working on Genetics, Immunology and Hematology, having authored 50 papers that have together received 954 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (18 papers), Lymphoma Diagnosis and Treatment (15 papers) and Chronic Lymphocytic Leukemia Research (12 papers). The work is most often cited by research in Immunology (414 citations), Genetics (149 citations) and Hematology (104 citations). Klaus‐Dieter Preuss has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Michael Pfreundschuh, Evi Regitz, Natalie Fadle, Frank Neumann, Carsten Zwick, Boris Kubuschok, Lorenz Thurner, Manfred Ahlgrimm, Bernd Romeike and Sandra Graß. Their work appears in journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Blood.
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.