T. Brümmendorf

472 citations
16 papers · 286 · h-index 9

Impact in

    • Chronic Myeloid Leukemia Treatments
    • Colorectal Cancer Treatments and Studies
    • Peptidase Inhibition and Analysis

Papers in

T. Brümmendorf

16 papers receiving 269 citations

Peers

T. Brümmendorf
Comparison fields: 5 of 43
  • Hematology 51
  • Oncology 108
  • Genetics 38
  • Immunology and Allergy 18
  • Gastroenterology 12
Replace M Anzà with:
M Anzà Italy
Shunichi Ishigami Japan
Manabu Yamamoto Japan
Naomi Ohtsuji Japan
J. Denekamp United Kingdom
Roberto Sosa Hernández Spain
B. Le Mevel France
Marco Bono Italy
Anne Marie Boesen Denmark
Scott D. Lunin United States
T. Brümmendorf relative to M Anzà Italy M Anzà's profile →
Citations per field
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M Anzà · 1×
Citations per year

Countries citing papers authored by T. Brümmendorf

Since Specialization
Citations

This map shows the geographic impact of T. Brümmendorf'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 T. Brümmendorf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Brümmendorf more than expected).

Fields of papers citing papers by T. Brümmendorf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 198149
2 198246
3 201145
4 198542
5 201029
6
Radioimmunolocalization of primary and metastatic breast cancer.
199817
7
Prognostic significance of preoperative carcinoembryonic antigen in stomach and colorectal cancer.
198316
8 201015
9 19868
10 19856
11 20176
12 19863
13 20131
14 20081
15
Differentiation of disease recurrence in various primary malignancies using CEA slope analysis.
19851
16 20091

About T. Brümmendorf

T. Brümmendorf is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery and Genetics, having authored 16 papers that have together received 286 indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Peptidase Inhibition and Analysis (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Colorectal Cancer Treatments and Studies (3 papers), Head and Neck Cancer Studies (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Hematology (51 citations), Oncology (108 citations), Genetics (38 citations), Immunology and Allergy (18 citations) and Gastroenterology (12 citations). T. Brümmendorf has collaborated with scholars based in Germany, Spain and France. Frequent co-authors include F. A. Anderer, Rainer Fischer, H. J. Staab, E. Stumpf, R. Baum, Ricard Mesı́a, Carlo Gambacorti‐Passerini, Martin Picard, A. Kerber and Jan B. Vermorken. Their work appears in journals such as British Journal of Cancer, Journal of Clinical Oncology, Journal of Surgical Oncology, Journal of Molecular Medicine 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.

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