D. Huhn
- Oncology top 10%
- Immunology top 10%
- Hematology top 5%
- Molecular Biology
- Pathology and Forensic Medicine
- Co-authors
- Petja LefterovaBela MehtaIngo G.H. Schmidt‐WolfRobert S. NegrinLara FernándezKarl G. BlumeIrving L. WeissmanAndreas Neubauer
- Topics
- Immune Cell Function and Interaction (3 papers)Chronic Myeloid Leukemia Treatments (3 papers)Testicular diseases and treatments (2 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
D. Huhn
22 papers receiving 739 citations
Peers
Comparison fields: 5 of 60
- Oncology 398
- Immunology 366
- Hematology 184
- Molecular Biology 156
- Pathology and Forensic Medicine 107
Countries citing papers authored by D. Huhn
This map shows the geographic impact of D. Huhn'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 D. Huhn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Huhn more than expected).
Fields of papers citing papers by D. Huhn
This network shows the impact of papers produced by D. Huhn. 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 D. Huhn. The network helps show where D. Huhn may publish in the future.
Co-authorship network of co-authors of D. Huhn
This figure shows the co-authorship network connecting the top 25 collaborators of D. Huhn. A scholar is included among the top collaborators of D. Huhn 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 D. Huhn. D. Huhn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 0 | |
| 3 | 12 | |
| 4 | Detection of germ-cell tumor cells in peripheral blood progenitor cell harvests: impact on clinical outcome. | 11 |
| 5 | 2 | |
| 6 | 26 | |
| 7 | 25 | |
| 8 | 82 | |
| 9 | 85 | |
| 10 | Detection of DNA methylation in the calcitonin gene in human leukemias using differential polymerase chain reaction. | 13 |
| 11 | 20 | |
| 12 | 10 | |
| 13 | 19 | |
| 14 | 21 | |
| 15 | [Attempts in developing a standardized test system of immunologic reactivity]. | 0 |
| 16 | Recombinant human interferon-alpha in the treatment of angioimmunoblastic lymphadenopathy: results in 12 patients. | 26 |
| 17 | Flow-cytometric determination of intracellular pH, esterase activity and cell volume in human leukemic cell lines following in vitro incubation with cytostatic drugs. | 3 |
| 18 | 1 | |
| 19 | [Influence on immune function parameters in histiocytosis-X of thymostimulin]. | 11 |
| 20 | 0 |
About D. Huhn
D. Huhn is a scholar working on Hematology, Oncology and Genetics, having authored 25 papers that have together received 765 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), Chronic Myeloid Leukemia Treatments (3 papers) and Testicular diseases and treatments (2 papers). The work is most often cited by research in Internal Medicine (67 citations), Immunology (366 citations) and Hematology (184 citations). D. Huhn has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Petja Lefterova, Bela Mehta, Ingo G.H. Schmidt‐Wolf, Robert S. Negrin, Lara Fernández, Karl G. Blume, Irving L. Weissman, Andreas Neubauer, Christian A. Schmidt and Mian He. Their work appears in journals such as Oncogene, British Journal of Cancer and European 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.