Jens Brümmer

1.8k total citations
17 papers, 1.5k citations indexed

About

Jens Brümmer is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Immunology and Allergy. According to data from OpenAlex, Jens Brümmer has authored 17 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Oncology and 8 papers in Immunology and Allergy. Recurrent topics in Jens Brümmer's work include Radiopharmaceutical Chemistry and Applications (10 papers), Peptidase Inhibition and Analysis (8 papers) and Cell Adhesion Molecules Research (8 papers). Jens Brümmer is often cited by papers focused on Radiopharmaceutical Chemistry and Applications (10 papers), Peptidase Inhibition and Analysis (8 papers) and Cell Adhesion Molecules Research (8 papers). Jens Brümmer collaborates with scholars based in Germany, United States and Switzerland. Jens Brümmer's co-authors include Christoph Wagener, Jürgen Berger, Udo Schumacher, Ana‐Maria Bamberger, Ursula M. Gehling, Thomas Münzel, Bruce Α. Freeman, Hanke Mollnau, Stephan Baldus and Jason P. Eiserich and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Oncology.

In The Last Decade

Jens Brümmer

16 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jens Brümmer Germany 12 506 496 441 418 248 17 1.5k
Mary A. Mulkins United States 17 621 1.2× 109 0.2× 740 1.7× 672 1.6× 92 0.4× 23 1.8k
Joy Cavagnaro United States 21 204 0.4× 218 0.4× 569 1.3× 313 0.7× 37 0.1× 46 1.4k
Carlo Rumi Italy 26 430 0.8× 59 0.1× 693 1.6× 682 1.6× 155 0.6× 103 2.3k
Lan Wang China 25 274 0.5× 222 0.4× 905 2.1× 367 0.9× 47 0.2× 74 1.8k
Tatyana Vlaykova Bulgaria 21 516 1.0× 60 0.1× 651 1.5× 348 0.8× 216 0.9× 92 1.5k
Anilkumar Gopalakrishnapillai United States 18 256 0.5× 233 0.5× 747 1.7× 113 0.3× 54 0.2× 64 1.4k
Yan Chang China 29 301 0.6× 138 0.3× 762 1.7× 624 1.5× 79 0.3× 66 1.9k
J. Goossens Belgium 15 191 0.4× 372 0.8× 566 1.3× 668 1.6× 54 0.2× 19 1.4k
Ann L. Akeson United States 23 241 0.5× 83 0.2× 810 1.8× 435 1.0× 90 0.4× 35 1.7k
Franco Patrone Italy 30 864 1.7× 115 0.2× 1.3k 2.9× 706 1.7× 59 0.2× 141 3.0k

Countries citing papers authored by Jens Brümmer

Since Specialization
Citations

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

Fields of papers citing papers by Jens Brümmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jens Brümmer

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

All Works

17 of 17 papers shown
1.
Herbolsheimer, Florian, Jens Brümmer, Mart L. Stein, Lilian Krist, & Karen Steindorf. (2024). Changes in physical activity and sedentary behavior during COVID-19 pandemic restrictions in Germany. European Journal of Public Health. 34(Supplement_3).
2.
Mayer, Horst, Jens Brümmer, & Thomas Brinkmann. (2011). Precise turnaround time measurement of laboratory processes using radiofrequency identification technology.. PubMed. 57(1-2). 75–81. 2 indexed citations
3.
Bamberger, Ana‐Maria, V. Minas, Sophia Kalantaridou, et al.. (2006). Corticotropin-Releasing Hormone Modulates Human Trophoblast Invasion through Carcinoembryonic Antigen-Related Cell Adhesion Molecule-1 Regulation. American Journal Of Pathology. 168(1). 141–150. 49 indexed citations
4.
Ebrahimnejad, Alireza, Thomas Streichert, Peter Nollau, et al.. (2004). CEACAM1 Enhances Invasion and Migration of Melanocytic and Melanoma Cells. American Journal Of Pathology. 165(5). 1781–1787. 101 indexed citations
5.
Schwedhelm, Edzard, Henrike Lenzen, Dimitrios Tsikas, et al.. (2004). Urinary 8-iso-Prostaglandin F 2α as a Risk Marker in Patients With Coronary Heart Disease. Circulation. 109(7). 843–848. 229 indexed citations
6.
Lau, Denise, Hanke Mollnau, Jason P. Eiserich, et al.. (2004). Myeloperoxidase mediates neutrophil activation by association with CD11b/CD18 integrins. Proceedings of the National Academy of Sciences. 102(2). 431–436. 357 indexed citations
7.
Jantscheff, Peter, Luigi Terracciano, Adam Lowy, et al.. (2003). Expression of CEACAM6 in Resectable Colorectal Cancer: A Factor of Independent Prognostic Significance. Journal of Clinical Oncology. 21(19). 3638–3646. 136 indexed citations
8.
Sienel, Wulf, Sebastian Dango, Ute Wöelfle, et al.. (2003). Elevated expression of carcinoembryonic antigen-related cell adhesion molecule 1 promotes progression of non-small cell lung cancer.. PubMed. 9(6). 2260–6. 65 indexed citations
9.
Laack, Eckart, Anja Peters, Christian Kügler, et al.. (2002). Expression of CEACAM1 in Adenocarcinoma of the Lung: A Factor of Independent Prognostic Significance. Journal of Clinical Oncology. 20(21). 4279–4284. 97 indexed citations
10.
Thies, Anka, Ingrid Moll, Jürgen Berger, et al.. (2002). CEACAM1 Expression in Cutaneous Malignant Melanoma Predicts the Development of Metastatic Disease. Journal of Clinical Oncology. 20(10). 2530–2536. 154 indexed citations
11.
Streichert, Thomas, et al.. (2001). The Microbial Receptor CEACAM3 Is Linked to the Calprotectin Complex in Granulocytes. Biochemical and Biophysical Research Communications. 289(1). 191–197. 9 indexed citations
12.
Brümmer, Jens, Alireza Ebrahimnejad, Udo Schumacher, et al.. (2001). cis Interaction of the Cell Adhesion Molecule CEACAM1 with Integrin β3. American Journal Of Pathology. 159(2). 537–546. 59 indexed citations
13.
Bamberger, Ana‐Maria, Gabriele Rieck, Jens Brümmer, et al.. (2001). Expression of the adhesion molecule CEACAM1 (CD66a, BGP, C-CAM) in breast cancer is associated with the expression of the tumor-suppressor genes Rb, Rb2, and p27. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 440(2). 139–144. 9 indexed citations
14.
Ebrahimnejad, Alireza, et al.. (2000). Cell Adhesion Molecule CEACAM1 Associates with Paxillin in Granulocytes and Epithelial and Endothelial Cells. Experimental Cell Research. 260(2). 365–373. 27 indexed citations
15.
Bamberger, Ana‐Maria, Lutz Riethdorf, Peter Nollau, et al.. (1998). Dysregulated expression of CD66a (BGP, C-CAM), an adhesion molecule of the CEA family, in endometrial cancer.. PubMed. 152(6). 1401–6. 69 indexed citations
16.
Brümmer, Jens, Michael Neumaier, & Christoph Wagener. (1995). Association of pp60 c-src with CD66a. Journal of Cancer Research and Clinical Oncology. 121(S1). A6–A6. 2 indexed citations
17.
Brümmer, Jens, et al.. (1995). Association of pp60c-src with biliary glycoprotein (CD66a), an adhesion molecule of the carcinoembryonic antigen family downregulated in colorectal carcinomas.. PubMed. 11(8). 1649–55. 119 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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