Bernhard Tribukait

6.4k total citations
199 papers, 5.2k citations indexed

About

Bernhard Tribukait is a scholar working on Surgery, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Bernhard Tribukait has authored 199 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Surgery, 53 papers in Cancer Research and 49 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Bernhard Tribukait's work include Cancer Genomics and Diagnostics (43 papers), Bladder and Urothelial Cancer Treatments (40 papers) and Urinary and Genital Oncology Studies (27 papers). Bernhard Tribukait is often cited by papers focused on Cancer Genomics and Diagnostics (43 papers), Bladder and Urothelial Cancer Treatments (40 papers) and Urinary and Genital Oncology Studies (27 papers). Bernhard Tribukait collaborates with scholars based in Sweden, United States and Netherlands. Bernhard Tribukait's co-authors include Robert Löfberg, P. L. Esposti, H. Gustafson, C. Hammarberg, Åke Öst, Andris Kreicbergs, Naining Wang, Sven Skog, Henrik C. F. Bauer and Peter Strang and has published in prestigious journals such as Nature, Gastroenterology and Cancer.

In The Last Decade

Bernhard Tribukait

196 papers receiving 5.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bernhard Tribukait Sweden 42 1.6k 1.6k 1.6k 1.2k 1.1k 199 5.2k
Gary L. Keeney United States 56 1.7k 1.0× 2.1k 1.3× 1.5k 1.0× 1.7k 1.4× 1.4k 1.2× 197 9.5k
Barbara Dockhorn‐Dworniczak Germany 39 649 0.4× 1.4k 0.9× 1.8k 1.1× 1.9k 1.6× 1.0k 0.9× 112 5.0k
Peter W. Nichols United States 40 2.8k 1.8× 1.8k 1.1× 1.0k 0.7× 2.6k 2.2× 1.1k 0.9× 83 6.3k
H. Baisch Germany 19 698 0.4× 1.6k 1.0× 942 0.6× 1.9k 1.6× 1.1k 1.0× 57 5.5k
Marco Novelli United Kingdom 38 2.3k 1.4× 1.6k 1.0× 1.0k 0.7× 1.7k 1.4× 1.1k 1.0× 62 6.1k
Gustavo Baretton Germany 46 1.4k 0.8× 3.0k 1.8× 1.9k 1.2× 2.5k 2.1× 1.5k 1.3× 312 7.3k
Ferdinand Hofstaedter Germany 42 2.0k 1.2× 1.9k 1.2× 1.1k 0.7× 2.3k 2.0× 726 0.6× 131 6.1k
S Hirohashi Japan 51 1.6k 1.0× 2.7k 1.6× 1.2k 0.7× 4.6k 3.8× 1.1k 1.0× 133 8.7k
L. Füzesi Germany 38 2.1k 1.3× 2.1k 1.3× 2.1k 1.3× 1.9k 1.6× 1.0k 0.9× 186 5.8k
J. G. Azzopardi United Kingdom 45 1.7k 1.0× 1.9k 1.2× 1.0k 0.6× 664 0.6× 1.3k 1.1× 79 5.5k

Countries citing papers authored by Bernhard Tribukait

Since Specialization
Citations

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

Fields of papers citing papers by Bernhard Tribukait

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernhard Tribukait

This figure shows the co-authorship network connecting the top 25 collaborators of Bernhard Tribukait. A scholar is included among the top collaborators of Bernhard Tribukait 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 Bernhard Tribukait. Bernhard Tribukait is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tribukait, Bernhard, et al.. (2023). Prediction of Overall Survival by Thymidine Kinase 1 Combined with Prostate-Specific Antigen in Men with Prostate Cancer. International Journal of Molecular Sciences. 24(6). 5160–5160. 4 indexed citations
2.
Jaremko, Georg, et al.. (2019). Predicting invasiveness and disease-specific survival in upper tract urothelial carcinoma: identifying relevant clinical tumour characteristics. World Journal of Urology. 37(11). 2335–2342. 9 indexed citations
3.
4.
Gustafsson, Ulf, Curt Einarsson, Lennart C. Eriksson, et al.. (2001). DNA Ploidy and S‐Phase Fraction in Carcinoma of the Gallbladder Related to Histopathology, Number of Gallstones and Survival 1. Analytical Cellular Pathology. 23(3-4). 143–152. 3 indexed citations
5.
Huuhtanen, Riikka, Tom Wiklund, Carl Blomqvist, et al.. (1999). A high proliferation rate measured by cyclin A predicts a favourable chemotherapy response in soft tissue sarcoma patients. British Journal of Cancer. 81(6). 1017–1021. 24 indexed citations
6.
7.
He, Qimin, et al.. (1996). Existence of phosphorylated and dephosphorylated forms of cytosolic thymidine kinase (TK1). Biochimica et Biophysica Acta (BBA) - General Subjects. 1289(1). 25–30. 7 indexed citations
8.
Wheeless, Leon L., Robert A. Badalament, Ralph W. deVere White, Yves Fradet, & Bernhard Tribukait. (1993). Consensus review of the clinical utility of dna cytometry in bladder cancer. Cytometry. 14(5). 478–481. 96 indexed citations
9.
Fosså, Sophie D., Aasmund Berner, Håkon Wæhre, et al.. (1992). DNA ploidy in cell nuclei from paraffin‐embedded material–comparison of results from two laboratories. Cytometry. 13(4). 395–403. 16 indexed citations
10.
Löfberg, Robert, Kerstin Lindquist, B Veress, & Bernhard Tribukait. (1992). Highly malignant carcinoma in chronic ulcerative colitis without preceding dysplasia or DNA aneuploidy. Diseases of the Colon & Rectum. 35(1). 82–86. 13 indexed citations
11.
Gustafson, H., et al.. (1991). Prophylactic Instillation Therapy of Superficial Bladder Cancer. Scandinavian Journal of Urology and Nephrology. 25(sup138). 187–191. 1 indexed citations
12.
Nordgren, Hans, Sten Nilsson, Pär Stattin, et al.. (1991). Modal DNA Values and Estramustine-Binding Protein (EMBP) as Prognostic Markers in Prostatic Cancer. Acta Oncologica. 30(2). 211–214. 8 indexed citations
13.
Tribukait, Bernhard. (1991). Dna Flow Cytometry in Carcinoma of the Prostate for Diagnosis, Prognosis and Study of Tumor Biology. Acta Oncologica. 30(2). 187–192. 34 indexed citations
14.
Brosjö, Otte, et al.. (1989). Effect of Human Interferon-α and Interferon-γ on Growth, Histology, and DNA Content of Human Osteosarcomas in Nude Mice. Journal of Interferon Research. 9(4). 475–489. 8 indexed citations
15.
Löfberg, Robert, Bernhard Tribukait, Åke Öst, Olle Broström, & H Reichard. (1987). Flow cytometric DNA analysis in longstanding ulcerative colitis: a method of prediction of dysplasia and carcinoma development?. Gut. 28(9). 1100–1106. 61 indexed citations
16.
Skog, Sven & Bernhard Tribukait. (1986). Cell Size Following Irradiation in Relation to Cell Cycle. Acta Radiologica Oncology. 25(4-6). 269–273. 6 indexed citations
17.
Anniko, Matti, Bernhard Tribukait, & Jan Wersäll. (1983). Significance of High Percentages of S-Phase Cells in Human Pituitary Tumours. ORL. 45(4). 177–186. 7 indexed citations
18.
Anniko, M., et al.. (1981). DNA measurements of human pituitary tumours.. PubMed. 379. 1–28. 7 indexed citations
19.
Anniko, Matti, Lars‐Erik Holm, Bernhard Tribukait, & Sigbritt Werner. (1981). DNA Characteristics of Human Pituitary Tumours. Acta Oto-Laryngologica. 91(sup379). 5–11. 12 indexed citations
20.
Boëthius, J., et al.. (1980). DNA Distribution in Various Parts of Malignant Gliomas Assayed on Stereotactic Biopsies. Stereotactic and Functional Neurosurgery. 43(3-5). 216–221. 4 indexed citations

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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