Patrick T. Bruck

2.1k total citations
35 papers, 1.3k citations indexed

About

Patrick T. Bruck is a scholar working on Immunology, Oncology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Patrick T. Bruck has authored 35 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 10 papers in Oncology and 9 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Patrick T. Bruck's work include Chronic Myeloid Leukemia Treatments (8 papers), Acute Lymphoblastic Leukemia research (8 papers) and Immunotherapy and Immune Responses (8 papers). Patrick T. Bruck is often cited by papers focused on Chronic Myeloid Leukemia Treatments (8 papers), Acute Lymphoblastic Leukemia research (8 papers) and Immunotherapy and Immune Responses (8 papers). Patrick T. Bruck collaborates with scholars based in Germany, United States and United Kingdom. Patrick T. Bruck's co-authors include Elizabeth Ramos‐Lopez, Klaus Badenhoop, Oliver G. Ottmann, Barbara Waßmann, Roman Pfeifer, Dieter Hoelzer, Anja Binckebanck, Thomas Jansen, Jürgen Herwig and Harald Gschaidmeier and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and The Journal of Immunology.

In The Last Decade

Patrick T. Bruck

35 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick T. Bruck Germany 20 533 498 290 221 195 35 1.3k
Hiroaki Goto Japan 22 634 1.2× 476 1.0× 364 1.3× 154 0.7× 278 1.4× 157 1.7k
Ronit Elhasid Israel 22 406 0.8× 253 0.5× 250 0.9× 105 0.5× 507 2.6× 113 1.8k
S A W Fadilah Malaysia 20 298 0.6× 273 0.5× 199 0.7× 117 0.5× 162 0.8× 93 1.2k
S Söderhäll Sweden 23 446 0.8× 712 1.4× 440 1.5× 128 0.6× 133 0.7× 34 1.9k
Thomas Kiss Canada 19 756 1.4× 168 0.3× 374 1.3× 134 0.6× 264 1.4× 76 1.3k
Akinobu Matsuzaki Japan 23 417 0.8× 197 0.4× 382 1.3× 82 0.4× 417 2.1× 69 1.5k
Nobuo Nara Japan 25 824 1.5× 319 0.6× 357 1.2× 95 0.4× 312 1.6× 121 1.8k
Fiorina Giona Italy 23 590 1.1× 266 0.5× 168 0.6× 80 0.4× 80 0.4× 88 1.3k
Masue Imaizumi Japan 25 818 1.5× 357 0.7× 279 1.0× 78 0.4× 423 2.2× 101 2.0k
A Okano Japan 17 439 0.8× 229 0.5× 307 1.1× 67 0.3× 372 1.9× 40 1.3k

Countries citing papers authored by Patrick T. Bruck

Since Specialization
Citations

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

Fields of papers citing papers by Patrick T. Bruck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick T. Bruck

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick T. Bruck. A scholar is included among the top collaborators of Patrick T. Bruck 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 Patrick T. Bruck. Patrick T. Bruck 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.
Crowley, Stephanie J., Patrick T. Bruck, Max Heckler, et al.. (2023). cIAP1/2 Antagonism Induces Antigen-Specific T Cell–Dependent Immunity. The Journal of Immunology. 210(7). 991–1003. 7 indexed citations
2.
3.
Crowley, Stephanie J., Patrick T. Bruck, Michael J. Walsh, et al.. (2020). Neoleukin-2 enhances anti-tumour immunity downstream of peptide vaccination targeted by an anti-MHC class II VHH. Open Biology. 10(2). 190235–190235. 11 indexed citations
4.
Clancy‐Thompson, Eleanor, Paul Tyler, Lestat R. Ali, et al.. (2018). Altered Binding of Tumor Antigenic Peptides to MHC Class I Affects CD8+ T Cell–Effector Responses. Cancer Immunology Research. 6(12). 1524–1536. 15 indexed citations
5.
Dougan, Michael, Jessica R. Ingram, Hee‐Jin Jeong, et al.. (2018). Targeting Cytokine Therapy to the Pancreatic Tumor Microenvironment Using PD-L1–Specific VHHs. Cancer Immunology Research. 6(4). 389–401. 71 indexed citations
6.
Yasmin‐Karim, Sayeda, Patrick T. Bruck, Michèle Moreau, et al.. (2018). Radiation and Local Anti-CD40 Generate an Effective in situ Vaccine in Preclinical Models of Pancreatic Cancer. Frontiers in Immunology. 9. 2030–2030. 68 indexed citations
7.
Clancy‐Thompson, Eleanor, Lestat R. Ali, Patrick T. Bruck, et al.. (2017). IAP Antagonists Enhance Cytokine Production from Mouse and Human iNKT Cells. Cancer Immunology Research. 6(1). 25–35. 24 indexed citations
8.
9.
Destache, Christopher J., Subhra Mandal, Zhe Yuan, et al.. (2016). Topical Tenofovir Disoproxil Fumarate Nanoparticles Prevent HIV-1 Vaginal Transmission in a Humanized Mouse Model. Antimicrobial Agents and Chemotherapy. 60(6). 3633–3639. 30 indexed citations
10.
Penna-Martinez, Marissa, Thorsten Jentzsch, Hanns Ackermann, et al.. (2014). Immunomodulatory effects of 25-hydroxyvitamin D3 on monocytic cell differentiation and influence of vitamin D3 polymorphisms in type 1 diabetes. The Journal of Steroid Biochemistry and Molecular Biology. 147. 17–23. 20 indexed citations
11.
Bruck, Patrick T., et al.. (2012). Dying of hematologic patients—treatment characteristics in a German University Hospital. Supportive Care in Cancer. 20(11). 2895–2902. 20 indexed citations
12.
Ramos‐Lopez, Elizabeth, et al.. (2010). The role of cubilin gene polymorphisms and their influence on 25(OH)D3 and 1,25(OH)2D3 plasma levels in type 1 diabetes patients. The Journal of Steroid Biochemistry and Molecular Biology. 121(1-2). 442–444. 14 indexed citations
13.
Bruck, Patrick T., Marissa Penna-Martinez, Heinrich Kahles, et al.. (2009). Polymorphisms of CXCR3-binding chemokines in type 1 diabetes. Human Immunology. 70(7). 552–555. 10 indexed citations
14.
Ramos‐Lopez, Elizabeth, Patrick T. Bruck, Thomas Jansen, Jürgen Herwig, & Klaus Badenhoop. (2007). CYP2R1 (vitamin D 25‐hydroxylase) gene is associated with susceptibility to type 1 diabetes and vitamin D levels in Germans. Diabetes/Metabolism Research and Reviews. 23(8). 631–636. 138 indexed citations
15.
Ramos‐Lopez, Elizabeth, Patrick T. Bruck, Thomas Jansen, et al.. (2007). CYP2R1-, CYP27B1- and CYP24-mRNA expression in German type 1 diabetes patients. The Journal of Steroid Biochemistry and Molecular Biology. 103(3-5). 807–810. 30 indexed citations
16.
Bruck, Patrick T., et al.. (2006). [Her2-Neu expression in ductal adenocarcinomas of the breast gland: correlation with histopathological parameters and estrogen receptors' expression in Mexican patients].. PubMed. 74(10). 516–22. 2 indexed citations
17.
18.
Scheuring, Urban, Roman Pfeifer, Barbara Waßmann, et al.. (2003). Serial minimal residual disease (MRD) analysis as a predictor of response duration in Philadelphia-positive acute lymphoblastic leukemia (Ph+ALL) during imatinib treatment. Leukemia. 17(9). 1700–1706. 29 indexed citations
19.
Waßmann, Barbara, Roman Pfeifer, Urban Scheuring, et al.. (2003). Early prediction of response in patients with relapsed or refractory Philadelphia chromosome–positive acute lymphoblastic leukemia (Ph+ALL) treated with imatinib. Blood. 103(4). 1495–1498. 39 indexed citations
20.

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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