Boris Brill

834 total citations
33 papers, 578 citations indexed

About

Boris Brill is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Boris Brill has authored 33 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 11 papers in Molecular Biology and 10 papers in Immunology. Recurrent topics in Boris Brill's work include Cytokine Signaling Pathways and Interactions (9 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Epigenetics and DNA Methylation (4 papers). Boris Brill is often cited by papers focused on Cytokine Signaling Pathways and Interactions (9 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Epigenetics and DNA Methylation (4 papers). Boris Brill collaborates with scholars based in Germany, United States and Brazil. Boris Brill's co-authors include Bernd Groner, Corina Borghouts, Vida Vafaizadeh, Franz Rödel, Judith Bergs, Ursula Dietrich, Christian J. Buchholz, Martin Ruthardt, Evelyn Ullrich and Peter Bader and has published in prestigious journals such as Analytical Biochemistry, Endocrinology and International Journal of Cancer.

In The Last Decade

Boris Brill

30 papers receiving 562 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Boris Brill Germany 15 266 183 177 108 62 33 578
Shigeto Kawai Japan 14 339 1.3× 188 1.0× 281 1.6× 152 1.4× 48 0.8× 28 837
Sherly Mosessian United States 8 423 1.6× 144 0.8× 75 0.4× 84 0.8× 47 0.8× 12 627
Yun‐Feng Piao China 7 376 1.4× 222 1.2× 347 2.0× 188 1.7× 66 1.1× 10 845
Aloke Sarkar United States 14 273 1.0× 105 0.6× 100 0.6× 56 0.5× 65 1.0× 20 492
Marisa M. Juntilla United States 9 361 1.4× 130 0.7× 328 1.9× 162 1.5× 70 1.1× 12 822
Sara J. Dawson United Kingdom 8 346 1.3× 138 0.8× 303 1.7× 167 1.5× 66 1.1× 9 883
Ursula R. Sorg Germany 13 254 1.0× 177 1.0× 186 1.1× 49 0.5× 73 1.2× 26 580
Dominique Vanhecke Belgium 17 212 0.8× 112 0.6× 380 2.1× 57 0.5× 30 0.5× 34 654
Tomoaki Kuwaki Japan 11 359 1.3× 246 1.3× 417 2.4× 309 2.9× 86 1.4× 18 977

Countries citing papers authored by Boris Brill

Since Specialization
Citations

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

Fields of papers citing papers by Boris Brill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boris Brill

This figure shows the co-authorship network connecting the top 25 collaborators of Boris Brill. A scholar is included among the top collaborators of Boris Brill 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 Boris Brill. Boris Brill 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
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Bohmann, Ferdinand O., Alexander Seiler, Sarah Gelhard, et al.. (2020). Blood Pressure Lowering Decreases Intracerebral Hemorrhage Volume and Improves Behavioral Outcomes in Experimental Animals. Journal of Stroke. 22(3). 416–418. 1 indexed citations
4.
Kiweler, Nicole, Boris Brill, Matthias Wirth, et al.. (2018). The histone deacetylases HDAC1 and HDAC2 are required for the growth and survival of renal carcinoma cells. Archives of Toxicology. 92(7). 2227–2243. 55 indexed citations
5.
Müller, Karsten, Joachim Koch, Boris Brill, et al.. (2017). Optimization of the EC26-2A4 Epitope in the gp41 Membrane Proximal External Region Targeted by Neutralizing Antibodies from an Elite Controller. AIDS Research and Human Retroviruses. 34(4). 365–374. 6 indexed citations
6.
Wagner, Juliane, Anja Waldmann, Judith Bergs, et al.. (2017). A Two-Phase Expansion Protocol Combining Interleukin (IL)-15 and IL-21 Improves Natural Killer Cell Proliferation and Cytotoxicity against Rhabdomyosarcoma. Frontiers in Immunology. 8. 676–676. 82 indexed citations
7.
Chiba, Tomohiro, et al.. (2015). Expression of the miR‐302/367 cluster in glioblastoma cells suppresses tumorigenic gene expression patterns and abolishes transformation related phenotypes. International Journal of Cancer. 137(10). 2296–2309. 36 indexed citations
8.
Thalheimer, Frederic B., Susanne Wingert, Nadine Haetscher, et al.. (2014). Cytokine-regulated GADD45G induces differentiation and lineage selection in hematopoietic stem cells. Experimental Hematology. 42(8). S57–S57.
9.
Thalheimer, Frederic B., Susanne Wingert, Nadine Haetscher, et al.. (2014). Cytokine-Regulated GADD45G Induces Differentiation and Lineage Selection in Hematopoietic Stem Cells. Stem Cell Reports. 3(1). 34–43. 30 indexed citations
10.
Brill, Boris, et al.. (2014). Endotoxin depletion of recombinant protein preparations through their preferential binding to histidine tags. Analytical Biochemistry. 466. 83–88. 36 indexed citations
11.
Brill, Boris, et al.. (2012). Stat3 is activated in skin lesions by the local application of imiquimod, a ligand of TLR7, and inhibited by the recombinant peptide aptamer rS3-PA. Hormone Molecular Biology and Clinical Investigation. 10(2). 265–272. 1 indexed citations
12.
Weber, Axel, et al.. (2012). Inhibition of Stat3 by peptide aptamer rS3-PA enhances growth suppressive effects of irinotecan on colorectal cancer cells. Hormone Molecular Biology and Clinical Investigation. 10(2). 273–279. 10 indexed citations
13.
Chiba, Tomohiro, et al.. (2012). Stat3 inhibition in neural lineage cells. Hormone Molecular Biology and Clinical Investigation. 10(2). 255–263. 4 indexed citations
14.
Weiß, Astrid, et al.. (2012). Survivin inhibition by an interacting recombinant peptide, derived from the human ferritin heavy chain, impedes tumor cell growth. Journal of Cancer Research and Clinical Oncology. 138(7). 1205–1220. 19 indexed citations
15.
Borghouts, Corina, et al.. (2012). A membrane penetrating peptide aptamer inhibits STAT3 function and suppresses the growth of STAT3 addicted tumor cells. PubMed. 1(1). 44–55. 14 indexed citations
16.
Romański, A, K. Schwarz, Maren Keller, et al.. (2012). Deacetylase inhibitors modulate proliferation and self-renewal properties of leukemic stem and progenitor cells. Cell Cycle. 11(17). 3219–3226. 24 indexed citations
17.
Weiß, Astrid, et al.. (2011). The integration of a Stat3 specific peptide aptamer into the thioredoxin scaffold protein strongly enhances its inhibitory potency. Hormone Molecular Biology and Clinical Investigation. 5(1). 1–9. 2 indexed citations
18.
Groner, Bernd, Vida Vafaizadeh, Boris Brill, & Petra Klemmt. (2009). Mammary epithelial and breast cancer stem cells. European Journal of Cancer. 45. 186–193. 4 indexed citations
19.
Humbert, Michael, Boris Brill, Berta Rodés, et al.. (2007). Mimotopes selected with antibodies from HIV‐1‐neutralizing long‐term non‐progressor plasma. European Journal of Immunology. 37(2). 501–515. 29 indexed citations
20.
Thaler, Sonja, Angelika M. Burger, Thomas F. Schulz, et al.. (2004). Establishment of a mouse xenograft model for mycosis fungoides. Experimental Dermatology. 13(7). 406–412. 24 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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