Peter Greb

1.7k total citations
3 papers, 3 citations indexed

About

Peter Greb is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, Peter Greb has authored 3 papers receiving a total of 3 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Organic Chemistry and 1 paper in Oncology. Recurrent topics in Peter Greb's work include Protein Degradation and Inhibitors (3 papers), Ubiquitin and proteasome pathways (1 paper) and Click Chemistry and Applications (1 paper). Peter Greb is often cited by papers focused on Protein Degradation and Inhibitors (3 papers), Ubiquitin and proteasome pathways (1 paper) and Click Chemistry and Applications (1 paper). Peter Greb collaborates with scholars based in Austria, United States and Australia. Peter Greb's co-authors include Steven A. Combs, Emelyne Diers, Philipp S. Schmalhorst, David A. Hirsh, Ning Ma, Zuzana Jandová, Keith Le, Gerd Bader, Thomas Gerstberger and Roland Kousek and has published in prestigious journals such as Nature Communications and Organic Process Research & Development.

In The Last Decade

Peter Greb

2 papers receiving 3 citations

Peers — A (Enhanced Table)

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

Name	h				Papers	Cites
Peter Greb Austria	2	2	1	1	3	3
Lucas Wiens Canada	1	2 1.0×			3	2
Ke Yuan China	1	2 1.0×			3	2
Y. Yuan China	2	2 1.0×			3	5
Jieyan Yang China	2	2 1.0×			4	5
A Kappenberger Germany	1	2 1.0×	1 1.0×		2	2
A. Tumanov Russia	1	2 1.0×			2	5
J. Xu China	1	2 1.0×			2	5
Jessica L. Stelzel United States	2	2 1.0×			2	2
Barış Özener Türkiye	1	2 1.0×			2	2
S.P. Wen China	2	2 1.0×		1 1.0×	7	4

Countries citing papers authored by Peter Greb

Since Specialization

Citations

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

Fields of papers citing papers by Peter Greb

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Greb

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

All Works

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3 of 3 papers shown

1.

Ma, Ning, S. Bhattacharya, Zuzana Jandová, et al.. (2025). Frustration in the protein-protein interface plays a central role in the cooperativity of PROTAC ternary complexes. Nature Communications. 16(1). 8595–8595. 2 indexed citations

2.

Scott, Thomas Allan, Christian A. Smethurst, Moriz Mayer, et al.. (2025). Drugit: crowd-sourcing molecular design of non-peptidic VHL binders. Nature Communications. 16(1). 3548–3548.

3.

Lee, Miseon, Jiang‐Ping Wu, Jun Wang, et al.. (2024). A Chiral Pool Strategy for the Synthesis of a SMARCA2 Degrading PROTAC. Organic Process Research & Development. 28(4). 1239–1252. 1 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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