K. Havemann

6.8k citations
297 papers · 5.5k · h-index 38

Impact in

  • Oncology top 1%
    • Lung Cancer Research Studies
  • Hematology top 1%
    • Blood Coagulation and Thrombosis Mechanisms

Papers in

    • Lung Cancer Research Studies 60
    • Peptidase Inhibition and Analysis 25
    • Glycosylation and Glycoproteins Research 18

K. Havemann

267 papers receiving 5.0k citations

Peers

K. Havemann
Comparison fields: 5 of 131
  • Oncology 1.7k
  • Hematology 693
  • Cancer Research 707
  • Immunology and Allergy 284
  • Genetics 388
Replace Klaas Hoekman with:
Klaas Hoekman Netherlands
Iris Goldberg Israel
Roeland Hanemaaijer Netherlands
Masayuki Iwano Japan
Juri Kopolovic Israel
Franco Silvestris Italy
Shosaku� Nomura Japan
David K. Madtes United States
Calvin Vary United States
Peter W. Mathieson United Kingdom
K. Havemann relative to Klaas Hoekman Netherlands Klaas Hoekman's profile →
Citations per field
00.5×1.5×2.2×
Klaas Hoekman · 1×
Citations per year

Countries citing papers authored by K. Havemann

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with K. Havemann Line = papers co-authored together K. Havemann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 297 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000295
2 1989212
3 1977195
4 1996129
5 1997129
6 1974122
7 1984120
8 2001120
9 1991116
10 1989111
11 1996109
12 1975104
13 198896
14 198994
15 199686
16 196978
17 198077
18 199676
19 198776
20 196875

About K. Havemann

K. Havemann is a scholar working on Oncology, Molecular Biology, Epidemiology, Pulmonary and Respiratory Medicine and Immunology, having authored 297 papers that have together received 5.5k indexed citations. Recurring topics across this work include Lung Cancer Research Studies (60 papers), Neuroendocrine Tumor Research Advances (48 papers), Peptidase Inhibition and Analysis (25 papers), Protease and Inhibitor Mechanisms (22 papers), Lung Cancer Treatments and Mutations (22 papers), Glycosylation and Glycoproteins Research (18 papers), Monoclonal and Polyclonal Antibodies Research (17 papers) and Blood properties and coagulation (17 papers). The work is most often cited by research in Oncology (1.7k citations), Hematology (693 citations), Cancer Research (707 citations), Immunology and Allergy (284 citations) and Genetics (388 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 Rolf Holle. 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.

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