K. Bremer

50 papers receiving 284 citations

Peers

K. Bremer
Comparison fields: 5 of 68
  • Genetics 96
  • Pathology and Forensic Medicine 93
  • Oncology 93
  • Hematology 28
  • Anesthesiology and Pain Medicine 12
Replace Dianne M. Howser with:
Dianne M. Howser United States
Harry S. Hopkins Canada
Izumi Mochimatsu Japan
Bolesław Papla Poland
Zheng Shi China
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S. Ostrow United States
Dieter May Germany
Janet Yoon United States
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Citations per year

Countries citing papers authored by K. Bremer

Since Specialization
Citations

This map shows the geographic impact of K. Bremer'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. Bremer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Bremer more than expected).

Fields of papers citing papers by K. Bremer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Bremer. 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. Bremer. The network helps show where K. Bremer may publish in the future.

Co-authors

The 25 scholars most cited alongside K. Bremer, 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. Bremer Line = papers co-authored together K. Bremer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199450
2 197323
3 199522
4 198218
5
[Retrospective analysis of the clinical relevance of the Kiel classification of malignant non-Hodgkin's lymphomas (author's transl)].
197718
6 197416
7 199213
8 199111
9
Notable relationship between the level of tumor marker TPS in serum and survival in breast cancer.
199610
10 19729
11
Impaired recirculation of autotransfused blood lymphocytes via thoracic duct lymph in patients with chronic lymphoid leukemia.
19739
12 19758
13 19938
14 19737
15 19827
16 19717
17 19916
18 20016
19
[Clinical aspects of malignant non-Hodgkin's-lymphomas with reference to Kiel classification: centrocytic lymphoma, centroblastic-centrocytic lymphoma, lymphoblastic lymphoma, immunoblastic lymphoma].
19765
20 19915

About K. Bremer

K. Bremer is a scholar working on Genetics, Oncology, Molecular Biology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 55 papers that have together received 340 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (14 papers), Lymphoma Diagnosis and Treatment (8 papers), Nausea and vomiting management (4 papers), Cancer therapeutics and mechanisms (4 papers), Lung Cancer Treatments and Mutations (4 papers), Acute Myeloid Leukemia Research (3 papers), Immune Cell Function and Interaction (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Genetics (96 citations), Pathology and Forensic Medicine (93 citations), Oncology (93 citations), Hematology (28 citations) and Anesthesiology and Pain Medicine (12 citations). K. Bremer has collaborated with scholars based in Germany, France and South Africa. Frequent co-authors include Adam Noble, L. Goedhals, Didier Cupissol, Stephen Dilly, Gérard L. Bremer, A Engeset, T. M. Fliedner, Peter Schick, G Brittinger and Christian G. Huber. Their work appears in journals such as European Journal of Cancer, Journal of Cancer Research and Clinical Oncology, Cancer Treatment Reviews, Annals of Hematology and Acta Haematologica.

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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