J. M. G. Bonfrer

879 total citations
25 papers, 670 citations indexed

About

J. M. G. Bonfrer is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, J. M. G. Bonfrer has authored 25 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Oncology. Recurrent topics in J. M. G. Bonfrer's work include Monoclonal and Polyclonal Antibodies Research (5 papers), Ovarian cancer diagnosis and treatment (4 papers) and Advanced Biosensing Techniques and Applications (3 papers). J. M. G. Bonfrer is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), Ovarian cancer diagnosis and treatment (4 papers) and Advanced Biosensing Techniques and Applications (3 papers). J. M. G. Bonfrer collaborates with scholars based in Netherlands, United Kingdom and United States. J. M. G. Bonfrer's co-authors include P.F. Bruning, M. De Jong‐Bakker, Michael J. Duffy, György Sölétormos, M. Zwirner, Malgorzata Tuxen, G. C. Torre, Gordon Rustin, J Kulpa and John Hilkens and has published in prestigious journals such as Journal of Clinical Oncology, British Journal of Cancer and International Journal of Cancer.

In The Last Decade

J. M. G. Bonfrer

23 papers receiving 637 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. M. G. Bonfrer Netherlands 14 255 202 186 129 103 25 670
Jean Michel Bidart France 10 353 1.4× 166 0.8× 162 0.9× 78 0.6× 102 1.0× 12 960
Burghard Abendstein Austria 12 313 1.2× 132 0.7× 115 0.6× 65 0.5× 104 1.0× 20 653
Svend A. Engelholm Denmark 17 177 0.7× 262 1.3× 201 1.1× 70 0.5× 30 0.3× 37 693
Steven W. Remmenga United States 13 347 1.4× 157 0.8× 82 0.4× 39 0.3× 89 0.9× 20 720
Lesley Lomo United States 15 206 0.8× 232 1.1× 85 0.5× 69 0.5× 185 1.8× 27 707
H. Caffier Germany 15 332 1.3× 216 1.1× 137 0.7× 45 0.3× 30 0.3× 42 679
J Bręborowicz Poland 14 271 1.1× 199 1.0× 51 0.3× 84 0.7× 91 0.9× 46 661
Yoshimichi Tanaka Japan 16 350 1.4× 269 1.3× 280 1.5× 36 0.3× 87 0.8× 45 850
Satoshi Tsunetoh Japan 15 280 1.1× 243 1.2× 235 1.3× 29 0.2× 68 0.7× 32 715
Lei Deng China 12 219 0.9× 330 1.6× 53 0.3× 61 0.5× 278 2.7× 25 786

Countries citing papers authored by J. M. G. Bonfrer

Since Specialization
Citations

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

Fields of papers citing papers by J. M. G. Bonfrer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. M. G. Bonfrer. 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 J. M. G. Bonfrer. The network helps show where J. M. G. Bonfrer may publish in the future.

Co-authorship network of co-authors of J. M. G. Bonfrer

This figure shows the co-authorship network connecting the top 25 collaborators of J. M. G. Bonfrer. A scholar is included among the top collaborators of J. M. G. Bonfrer 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 J. M. G. Bonfrer. J. M. G. Bonfrer 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.
Keuren, Jeffrey F.W., et al.. (2009). Toepassing van tumormarkers in de klinische praktijk. Nederlandsch tijdschrift voor geneeskunde/Nederlands tijdschrift voor geneeskunde/NTvG-databank. 153.
2.
Keuren, Jeffrey F.W., Catherine M. Thomas, J. M. G. Bonfrer, Fred C.G.J. Sweep, & Joke G. Boonstra. (2009). [Application of tumour markers in clinical practice].. PubMed. 153. A617–A617. 2 indexed citations
3.
Korse, Catharina M., et al.. (2007). S-100B Protein and Melanoma Inhibitory Activity Protein in Uveal Melanoma Screening. Tumor Biology. 28(2). 63–69. 24 indexed citations
4.
Duffy, Michael J., J. M. G. Bonfrer, J Kulpa, et al.. (2005). CA125 in ovarian cancer: European Group on Tumor Markers guidelines for clinical use. International Journal of Gynecological Cancer. 15(5). 679–691. 222 indexed citations
5.
Stieber, P, Rafael Molina, Daniel W. Chan, et al.. (2003). Clinical evaluation of the Elecsys CA 15-3 test in breast cancer patients.. PubMed. 49(1-2). 15–24. 27 indexed citations
6.
Stieber, P, Rafael Molina, Daniel W. Chan, et al.. (2001). Evaluation of the Analytical and Clinical Performance of the Elecsys® CA 15-3 Immunoassay. Clinical Chemistry. 47(12). 2162–2164. 8 indexed citations
7.
8.
Bonfrer, J. M. G. & Catharina M. Korse. (1999). TPA and CA 15.3 Measurements for Breast Cancer Monitoring in a Routine Setting. The International Journal of Biological Markers. 14(1). 40–44. 2 indexed citations
9.
Bonfrer, J. M. G., et al.. (1997). Effect of Paclitaxel (Taxol®) on CA 125 Expression and Release by Ovarian Cancer Cell Lines. Tumor Biology. 18(4). 232–240. 3 indexed citations
10.
Vrouenraets, Bart C., Joost M. Klaase, J. M. G. Bonfrer, et al.. (1997). Value of laboratory tests in monitoring acute regional toxicity after isolated limb perfusion. Annals of Surgical Oncology. 4(1). 88–94. 21 indexed citations
11.
Bonfrer, J. M. G., et al.. (1997). Cyfra 21-1 and TPA as markers in malignant mesothelioma.. PubMed. 17(4B). 2971–3. 18 indexed citations
12.
Bonfrer, J. M. G., et al.. (1997). Serum S-100 has prognostic significance in malignant melanoma.. PubMed. 17(4B). 2975–7. 21 indexed citations
13.
Bonfrer, J. M. G., Els Groeneveld, Catharina M. Korse, et al.. (1994). Monoclonal antibody M3 used in TPS assay for the quantification of TPA recognizes keratin 18. Cell Biology International. 18(5). 436.
14.
Bonfrer, J. M. G., Katja N. Gaarenstroom, Gemma G. Kenter, et al.. (1994). Prognostic Significance of Serum Fragments of Cytokeratin 19 Measured by Cyfra 21-1 in Cervical Cancer. Gynecologic Oncology. 55(3). 371–375. 33 indexed citations
15.
Bonfrer, J. M. G., et al.. (1994). Technical evaluation of three second generation CA 125 assays.. PubMed. 32(3). 201–7. 18 indexed citations
16.
Koenig, Karen L., Paolo Toniolo, P.F. Bruning, et al.. (1993). Reliability of serum prolactin measurements in women.. PubMed. 2(5). 411–4. 20 indexed citations
17.
Bruning, P.F., J. M. G. Bonfrer, A. A. M. Hart, et al.. (1989). Low dose aminoglutethimide without hydrocortisone for the treatment of advanced postmenopausal breast cancer. European Journal of Cancer and Clinical Oncology. 25(2). 369–376. 16 indexed citations
18.
Fentiman, IS, Maira Caleffi, D.Y. Wang, et al.. (1988). The binding of blood‐borne estrogens in normal vegetarian and omnivorous women and the risk of breast cancer. Nutrition and Cancer. 11(2). 101–106. 14 indexed citations
19.
Hilkens, John, J. M. G. Bonfrer, V. Kroezen, et al.. (1987). Comparison of circulating mam‐6 and cea levels and correlation with the estrogen receptor in patients with breast cancer. International Journal of Cancer. 39(4). 431–435. 16 indexed citations
20.
Bruning, P.F., J. M. G. Bonfrer, & A.A.M. Hart. (1985). Non-protein bound oestradiol, sex hormone binding globulin, breast cancer and breast cancer risk. British Journal of Cancer. 51(4). 479–484. 66 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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