Brian J. Groendyke

828 citations
8 papers · 267 indexed · h-index 7
Topics
Protein Degradation and Inhibitors (3 papers)Catalytic C–H Functionalization Methods (2 papers)Ubiquitin and proteasome pathways (2 papers)
Partner nations
United StatesChinaRussia

In The Last Decade

Brian J. Groendyke

8 papers receiving 265 citations

Peers

Brian J. Groendyke
Comparison fields: 5 of 27
  • Organic Chemistry 189
  • Pharmaceutical Science 66
  • Molecular Biology 64
  • Oncology 33
  • Inorganic Chemistry 27
Replace Hendrika M. Duivenvoorden with:
Hendrika M. Duivenvoorden Australia
Heinz Stadtmüller Germany
Luis Martinez-Alsina United States
Yuki Honda Japan
Xiang-Qin Xu China
Robert P. Law United Kingdom
Mihir D. Parikh United States
Andrei Shavnya United States
Brett M. Lillie United States
Brian R. Dixon United States
Brian J. Groendyke relative to Hendrika M. Duivenvoorden Australia Hendrika M. Duivenvoorden's profile →
Citations per field
00.5×
Hendrika M. Duivenvoorden · 1×
Citations per year

Countries citing papers authored by Brian J. Groendyke

Since Specialization
Citations

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

Fields of papers citing papers by Brian J. Groendyke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian J. Groendyke. 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 Brian J. Groendyke. The network helps show where Brian J. Groendyke may publish in the future.

Co-authorship network of co-authors of Brian J. Groendyke

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 12
2 13
3 14
4 4
5 8
6 25
7 18
8 173

About Brian J. Groendyke

Brian J. Groendyke is a scholar working on Immunology and Allergy, Pharmaceutical Science and Oncology, having authored 8 papers that have together received 267 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (3 papers), Catalytic C–H Functionalization Methods (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Pharmaceutical Science (66 citations), Organic Chemistry (189 citations) and Inorganic Chemistry (27 citations). Brian J. Groendyke has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Silas P. Cook, Deyaa I. AbuSalim, Nathanael S. Gray, Atanu Modak, Eric S. Fischer, Jinghua Yuan, Ivana Gasic, Timothy J. Mitchison, Radosław P. Nowak and David A. Scott. Their work appears in journals such as Journal of the American Chemical Society, Journal of Medicinal Chemistry and The Journal of Organic Chemistry.

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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