Binje Vick

5.0k citations
32 papers · 1.1k · h-index 16

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
  • Oncology top 5%
    • CAR-T cell therapy research

Papers in

    • RNA Interference and Gene Delivery 5
    • Cell death mechanisms and regulation 5
    • Protein Degradation and Inhibitors 4
    • Histone Deacetylase Inhibitors Research 4
    • Epigenetics and DNA Methylation 3
    • Acute Myeloid Leukemia Research 14

Binje Vick

30 papers receiving 1.1k citations

Peers

Binje Vick
Comparison fields: 5 of 78
  • Hematology 248
  • Oncology 471
  • Immunology 314
  • Hepatology 67
  • Molecular Biology 540
Replace Robert McKinstry with:
Robert McKinstry United States
Michael A. Damore United States
Laurence Cooke United States
Brian Riesenberg United States
Crescenzo D’Alterio Italy
Da‐Liang Ou Taiwan
Ingela B. Vikstrom Australia
Miriam Redrado Spain
Yuhki Yokoyama Japan
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Citations per field
00.5×10.7×
Robert McKinstry · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Binje Vick, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Binje Vick Line = papers co-authored together Binje Vick links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015199
2 2008125
3 2020123
4 200995
5 201779
6 201765
7 201548
8 202239
9 200837
10 201933
11 200931
12 201931
13 202128
14 202126
15 201524
16 202219
17 202014
18 201813
19 201712
20 20189

About Binje Vick

Binje Vick is a scholar working on Molecular Biology, Hematology, Oncology, Immunology and Epidemiology, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (14 papers), RNA Interference and Gene Delivery (5 papers), Cell death mechanisms and regulation (5 papers), Protein Degradation and Inhibitors (4 papers), CAR-T cell therapy research (4 papers), Immune Cell Function and Interaction (4 papers), Histone Deacetylase Inhibitors Research (4 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Hematology (248 citations), Oncology (471 citations), Immunology (314 citations), Hepatology (67 citations) and Molecular Biology (540 citations). Binje Vick has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Irmela Jeremias, Peter R. Galle, Toni Urbanik, Henning Schulze‐Bergkamen, Marcus Schuchmann, Karsten Spiekermann, Achim Weber, Marion Subklewe, Joseph T. Opferman and Andreas Teufel. Their work appears in journals such as Blood, Leukemia, Oncotarget, World Journal of Gastroenterology and Hepatology.

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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