Johannes Zuber

24.7k citations
167 papers · 12.2k indexed · 3 hit papers · h-index 56
Topics
Acute Myeloid Leukemia Research (41 papers)Protein Degradation and Inhibitors (40 papers)CRISPR and Genetic Engineering (21 papers)

In The Last Decade

Johannes Zuber

159 papers receiving 12.0k citations

Hit Papers

RNAi screen identifies Brd4 as a therapeutic target in ac...20112026201620212011201920174008001.2k

Peers

Johannes Zuber
Comparison fields: 5 of 159
  • Molecular Biology 9.6k
  • Oncology 2.2k
  • Hematology 2.2k
  • Cancer Research 1.5k
  • Immunology 1.1k
Replace Christopher R. Vakoc with:
Christopher R. Vakoc United States
James DeGregori United States
Duanqing Pei China
Jean Y. J. Wang United States
Anna Jauch Germany
Gerd A. Blobel United States
David A. Largaespada United States
Laurie Ailles Canada
Giovanni Tonon Italy
John E.J. Rasko Australia
Johannes Zuber relative to Christopher R. Vakoc United States Christopher R. Vakoc's profile →
Citations per field
00.5×1.5×
Christopher R. Vakoc · 1×
Citations per year

Countries citing papers authored by Johannes Zuber

Since Specialization
Citations

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

Fields of papers citing papers by Johannes Zuber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johannes Zuber

This figure shows the co-authorship network connecting the top 25 collaborators of Johannes Zuber. A scholar is included among the top collaborators of Johannes Zuber 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 Johannes Zuber. Johannes Zuber 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
#WorkIndexed citations
1 1
2 0
3 2
4 2
5 18
6 4
7 57
8 64
9 8
10 17
11 29
12 39
13 16
14 83
15 237
16 29
17
Topologically associating domains and chromatin loops depend on cohesin and are regulated by CTCF, WAPL, and PDS5 proteinsbreakdown →
545
18 35
19 83
20 93

About Johannes Zuber

Johannes Zuber is a scholar working on Hematology, Molecular Biology and Cancer Research, having authored 167 papers that have together received 12.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (41 papers), Protein Degradation and Inhibitors (40 papers) and CRISPR and Genetic Engineering (21 papers). The work is most often cited by research in Hematology (2.2k citations), Molecular Biology (9.6k citations) and Cancer Research (1.5k citations). Johannes Zuber has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Scott W. Lowe, Amy Rappaport, Scott C. Kogan, Christopher R. Vakoc, Matthias Muhar, Meredith J. Taylor, Eric Wang, James E. Bradner, Junwei Shi and Gregory J. Hannon. Their work appears in journals such as Nature, Science and Cell.

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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