Binje Vick

5.0k total citations
32 papers, 1.1k citations indexed

About

Binje Vick is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Binje Vick has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 15 papers in Hematology and 8 papers in Oncology. Recurrent topics in Binje Vick's work include Acute Myeloid Leukemia Research (14 papers), RNA Interference and Gene Delivery (5 papers) and Cell death mechanisms and regulation (5 papers). Binje Vick is often cited by papers focused on Acute Myeloid Leukemia Research (14 papers), RNA Interference and Gene Delivery (5 papers) and Cell death mechanisms and regulation (5 papers). Binje Vick collaborates with scholars based in Germany, United States and Switzerland. Binje Vick's co-authors include Irmela Jeremias, Henning Schulze‐Bergkamen, Peter R. Galle, Toni Urbanik, Marcus Schuchmann, Karsten Spiekermann, Achim Weber, Marion Subklewe, Peter H. Krammer and Klaus H. Metzeler and has published in prestigious journals such as Blood, PLoS ONE and Hepatology.

In The Last Decade

Binje Vick

30 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Binje Vick Germany 16 540 471 314 248 140 32 1.1k
Robert McKinstry United States 13 475 0.9× 435 0.9× 98 0.3× 145 0.6× 127 0.9× 21 971
Michael A. Damore United States 16 302 0.6× 276 0.6× 284 0.9× 131 0.5× 45 0.3× 30 775
Miriam Redrado Spain 20 544 1.0× 518 1.1× 233 0.7× 38 0.2× 61 0.4× 39 1.1k
Yuhki Yokoyama Japan 18 1.1k 2.1× 561 1.2× 196 0.6× 96 0.4× 46 0.3× 46 1.6k
Da‐Liang Ou Taiwan 20 656 1.2× 508 1.1× 300 1.0× 87 0.4× 74 0.5× 53 1.3k
Brian Riesenberg United States 13 317 0.6× 356 0.8× 321 1.0× 91 0.4× 88 0.6× 17 857
Callum M. Sloss United States 19 797 1.5× 915 1.9× 407 1.3× 212 0.9× 41 0.3× 48 1.4k
Crescenzo D’Alterio Italy 19 371 0.7× 849 1.8× 533 1.7× 50 0.2× 45 0.3× 36 1.3k
Roger Mouawad France 21 523 1.0× 308 0.7× 208 0.7× 65 0.3× 56 0.4× 57 968

Countries citing papers authored by Binje Vick

Since Specialization
Citations

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

Fields of papers citing papers by Binje Vick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Binje Vick

This figure shows the co-authorship network connecting the top 25 collaborators of Binje Vick. A scholar is included among the top collaborators of Binje Vick 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 Binje Vick. Binje Vick 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.
Kellner, Markus, Bastian Czogalla, Regina Feederle, et al.. (2022). A Novel Anti-CD73 Antibody That Selectively Inhibits Membrane CD73 Shows Antitumor Activity and Induces Tumor Immune Escape. Biomedicines. 10(4). 825–825. 6 indexed citations
2.
Vick, Binje, Karsten Spiekermann, Maja Rothenberg‐Thurley, et al.. (2022). WT1 and DNMT3A play essential roles in the growth of certain patient AML cells in mice. Blood. 141(8). 955–960. 1 indexed citations
3.
Koschade, Sebastian E., Kevin Klann, Shabnam Shaid, et al.. (2022). Translatome proteomics identifies autophagy as a resistance mechanism to on-target FLT3 inhibitors in acute myeloid leukemia. Leukemia. 36(10). 2396–2407. 19 indexed citations
4.
Janjic, Aleksandar, Lucas E. Wange, Johannes Bagnoli, et al.. (2022). Prime-seq, efficient and powerful bulk RNA sequencing. Genome biology. 23(1). 88–88. 39 indexed citations
5.
Kerbs, Paul, Johannes Bagnoli, Luise Hartmann, et al.. (2020). ZBTB7A prevents RUNX1-RUNX1T1-dependent clonal expansion of human hematopoietic stem and progenitor cells. Oncogene. 39(15). 3195–3205. 14 indexed citations
6.
Augsberger, Christian, Binje Vick, Irmela Jeremias, et al.. (2019). Evaluation of a Bifunctional Sirpα-CD123 Fusion Antibody for the Elimination of Acute Myeloid Leukemia Stem Cells. Blood. 134(Supplement_1). 2544–2544. 4 indexed citations
7.
Häfner, Susanne, Michael Schmiech, Berthold Büchele, et al.. (2019). Gold Nanoparticles with Selective Antileukemic Activity In Vitro and In Vivo Target Mitochondrial Respiration. Advanced Therapeutics. 2(6). 1 indexed citations
8.
Koenig, Lars M., Binje Vick, Julia Ahlfeld, et al.. (2019). RIG-I-based immunotherapy enhances survival in preclinical AML models and sensitizes AML cells to checkpoint blockade. Leukemia. 34(4). 1017–1026. 33 indexed citations
9.
Lynch, Jennifer, Patrick Connerty, Binje Vick, et al.. (2019). JMJD1C-mediated metabolic dysregulation contributes to HOXA9-dependent leukemogenesis. Leukemia. 33(6). 1400–1410. 31 indexed citations
10.
Vick, Binje, Uli Kazmaier, Stephan A. Sieber, et al.. (2018). Targeting the endoplasmic reticulum-mitochondria interface sensitizes leukemia cells to cytostatics. Haematologica. 104(3). 546–555. 13 indexed citations
11.
Schönlein, Martin, J. Henry M. Däbritz, Dorothy Ngo-Yin Fan, et al.. (2017). Therapy‐Induced Senescence Is a Predictor of Treatment Outcome in Acute Myeloid Leukemia. Blood. 130. 1393–1393. 2 indexed citations
12.
Habringer, Stefan, Constantin Lapa, Peter Herhaus, et al.. (2017). Dual Targeting of Acute Leukemia and Supporting Niche by CXCR4-Directed Theranostics. Theranostics. 8(2). 369–383. 79 indexed citations
13.
14.
Habringer, Stefan, Peter Herhaus, Margret Schottelius, et al.. (2016). Peptide-Receptor Radiotherapy with CXCR4-Targeting Pentixather Reduces Leukemia Burden in Acute Leukemia PDX and Patients. Blood. 128(22). 4055–4055. 3 indexed citations
15.
Zhang, Siwei, Binje Vick, M Grunert, et al.. (2015). Anti-leukemic effects of the V-ATPase inhibitor Archazolid A. Oncotarget. 6(41). 43508–43528. 24 indexed citations
16.
17.
Weber, Achim, Regina Boger, Binje Vick, et al.. (2009). Hepatocyte‐specific deletion of the antiapoptotic protein myeloid cell leukemia‐1 triggers proliferation and hepatocarcinogenesis in mice†. Hepatology. 51(4). 1226–1236. 95 indexed citations
18.
Koehler, Bruno Christian, Toni Urbanik, Binje Vick, et al.. (2009). TRAIL-induced apoptosis of hepatocellular carcinoma cells isaugmented by targeted therapies. World Journal of Gastroenterology. 15(47). 5924–5924. 31 indexed citations
19.
Vick, Binje, Achim Weber, Toni Urbanik, et al.. (2008). Knockout of myeloid cell leukemia-1 induces liver damage and increases apoptosis susceptibility of murine hepatocytes #. Hepatology. 49(2). 627–636. 125 indexed citations
20.
Schulze‐Bergkamen, Henning, Binje Vick, Toni Urbanik, et al.. (2008). Bcl-xL and Myeloid cell leukaemia-1 contribute to apoptosis resistance of colorectal cancer cells. World Journal of Gastroenterology. 14(24). 3829–3829. 37 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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