Morgan S. Gadd

2.4k citations
14 papers · 1.8k indexed · 1 hit paper · h-index 11
Topics
Ubiquitin and proteasome pathways (8 papers)Protein Degradation and Inhibitors (6 papers)Peptidase Inhibition and Analysis (2 papers)

In The Last Decade

Morgan S. Gadd

14 papers receiving 1.7k citations

Hit Papers

Structural basis of PROTAC cooperative recognition for se...20172026202020232017250500750

Peers

Morgan S. Gadd
Comparison fields: 5 of 73
  • Molecular Biology 1.7k
  • Oncology 686
  • Hematology 412
  • Cancer Research 97
  • Organic Chemistry 66
Replace Taavi K. Neklesa with:
Taavi K. Neklesa United States
Kwok-Ho Chan United Kingdom
Alan L. Leggett United States
Baishan Jiang United States
Kanak Raina United States
Simona Blotta United States
Tianfeng Xu China
Duncan Walker United States
Courtney G. Havens United States
Deborah H. Brotherton United Kingdom
Morgan S. Gadd relative to Taavi K. Neklesa United States Taavi K. Neklesa's profile →
Citations per field
00.5×1.5×
Taavi K. Neklesa · 1×
Citations per year

Countries citing papers authored by Morgan S. Gadd

Since Specialization
Citations

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

Fields of papers citing papers by Morgan S. Gadd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Morgan S. Gadd. 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 Morgan S. Gadd. The network helps show where Morgan S. Gadd may publish in the future.

Co-authorship network of co-authors of Morgan S. Gadd

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 22
2 114
3 110
4
Structural basis of PROTAC cooperative recognition for selective protein degradationbreakdown →
826
5 123
6 178
7 16
8 19
9 306
10 18
11 1
12 7
13 32
14 5

About Morgan S. Gadd

Morgan S. Gadd is a scholar working on Molecular Biology, Cancer Research and Oncology, having authored 14 papers that have together received 1.8k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (8 papers), Protein Degradation and Inhibitors (6 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Hematology (412 citations), Oncology (686 citations) and Molecular Biology (1.7k citations). Morgan S. Gadd has collaborated with scholars based in United Kingdom, Australia and Canada. Frequent co-authors include Alessio Ciulli, Xavier Lucas, Andrea Testa, Kwok-Ho Chan, Wenzhang Chen, Michael Zengerle, Douglas J. Lamont, Carles Galdeano, Pedro Soares and Teresa A.F. Cardote. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nature 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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