Michael Zengerle

3.2k citations
16 papers · 2.4k indexed · 2 hit papers · h-index 16
Topics
Protein Degradation and Inhibitors (9 papers)Ubiquitin and proteasome pathways (8 papers)Multiple Myeloma Research and Treatments (6 papers)

In The Last Decade

Michael Zengerle

16 papers receiving 2.3k citations

Hit Papers

Structural basis of PROTAC cooperative recognition for se...201520262018202220172015250500750

Peers

Michael Zengerle
Comparison fields: 5 of 74
  • Molecular Biology 2.1k
  • Oncology 747
  • Hematology 657
  • Organic Chemistry 313
  • Plant Science 119
Replace Tatiana Cañeque with:
Tatiana Cañeque France
Andrew R. Thompsett United Kingdom
Jan Seebacher Switzerland
Michael S. Bernatowicz United States
Joshua M. Gilmore United States
Swen Hoelder United Kingdom
Kenneth M. Comess United States
David D. Shock United States
Ion Niculescu‐Duvaz United Kingdom
Chuanbing Bian China
Michael Zengerle relative to Tatiana Cañeque France Tatiana Cañeque's profile →
Citations per field
00.5×6.4×
Tatiana Cañeque · 1×
Citations per year

Countries citing papers authored by Michael Zengerle

Since Specialization
Citations

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

Fields of papers citing papers by Michael Zengerle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Zengerle

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Zengerle. A scholar is included among the top collaborators of Michael Zengerle 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 Michael Zengerle. Michael Zengerle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 90
2 33
3
Structural basis of PROTAC cooperative recognition for selective protein degradationbreakdown →
826
4 21
5 172
6 19
7 38
8
Selective Small Molecule Induced Degradation of the BET Bromodomain Protein BRD4breakdown →
760
9 23
10 110
11 38
12 25
13 26
14 39
15 133
16 42

About Michael Zengerle

Michael Zengerle is a scholar working on Hematology, Virology and Pollution, having authored 16 papers that have together received 2.4k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (9 papers), Ubiquitin and proteasome pathways (8 papers) and Multiple Myeloma Research and Treatments (6 papers). The work is most often cited by research in Hematology (657 citations), Molecular Biology (2.1k citations) and Oncology (747 citations). Michael Zengerle has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Alessio Ciulli, Kwok-Ho Chan, Andrea Testa, Xavier Lucas, Wenzhang Chen, Morgan S. Gadd, Douglas J. Lamont, Stefan Kubik, Franz Worek and Mark D. Symes. Their work appears in journals such as Science, Angewandte Chemie International Edition and Chemical Communications.

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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