K. Havemann
Impact in
- Oncology top 1%
- Lung Cancer Research Studies
- Hematology top 1%
- Blood Coagulation and Thrombosis Mechanisms
Papers in
- Oncology 99
- Lung Cancer Research Studies 53
- Peptidase Inhibition and Analysis 25
-
- Glycosylation and Glycoproteins Research 18
- Co-authors
- W Schmidt (7 shared papers)R. Egbring (18 shared papers)C. Gropp (43 shared papers)Gabriele Jaques (20 shared papers)M. Gramse (14 shared papers)Gerold Bepler (15 shared papers)Ulrich Kaiser (14 shared papers)Martin Rotsch (13 shared papers)
- Journals
- Lung Cancer (21 papers)Journal of Cancer Research and Clinical Oncology (18 papers)Journal of Molecular Medicine (17 papers)Annals of Hematology (13 papers)Cancer (8 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
K. Havemann
246 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 129
- Oncology 1.6k
- Hematology 651
- Cancer Research 654
- Immunology and Allergy 264
- Genetics 344
Countries citing papers authored by K. Havemann
This map shows the geographic impact of K. Havemann'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 K. Havemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Havemann more than expected).
Fields of papers citing papers by K. Havemann
This network shows the impact of papers produced by K. Havemann. 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 K. Havemann. The network helps show where K. Havemann may publish in the future.
Co-authors
The 25 scholars most cited alongside K. Havemann, 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 266 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 277 | |
| 2 | 1989 | 195 | |
| 3 | 1977 | 185 | |
| 4 | 1996 | 123 | |
| 5 | 1997 | 122 | |
| 6 | 2001 | 116 | |
| 7 | 1984 | 112 | |
| 8 | 1974 | 111 | |
| 9 | 1991 | 107 | |
| 10 | 1989 | 105 | |
| 11 | 1996 | 95 | |
| 12 | 1988 | 95 | |
| 13 | 1975 | 95 | |
| 14 | 1996 | 78 | |
| 15 | 1989 | 75 | |
| 16 | 1987 | 74 | |
| 17 | 1993 | 71 | |
| 18 | 1969 | 70 | |
| 19 | 1980 | 68 | |
| 20 | 1996 | 67 |
About K. Havemann
K. Havemann is a scholar working on Oncology, Molecular Biology, Epidemiology, Pulmonary and Respiratory Medicine and Immunology, having authored 266 papers that have together received 5.0k indexed citations. Recurring topics across this work include Lung Cancer Research Studies (53 papers), Neuroendocrine Tumor Research Advances (41 papers), Peptidase Inhibition and Analysis (25 papers), Protease and Inhibitor Mechanisms (21 papers), Glycosylation and Glycoproteins Research (18 papers), Monoclonal and Polyclonal Antibodies Research (16 papers), Lung Cancer Treatments and Mutations (16 papers) and Blood properties and coagulation (16 papers). The work is most often cited by research in Oncology (1.6k citations), Hematology (651 citations), Cancer Research (654 citations), Immunology and Allergy (264 citations) and Genetics (344 citations). K. Havemann has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include W Schmidt, R. Egbring, C. Gropp, Gabriele Jaques, M. Gramse, Gerold Bepler, Ulrich Kaiser, Martin Rotsch, M. Wolf and G. Fuchs. Their work appears in journals such as Lung Cancer, Journal of Cancer Research and Clinical Oncology, Journal of Molecular Medicine, Annals of Hematology and 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.