J. Grace Shaw

458 total citations
3 papers, 136 citations indexed

About

J. Grace Shaw is a scholar working on Molecular Biology, Organic Chemistry and Infectious Diseases. According to data from OpenAlex, J. Grace Shaw has authored 3 papers receiving a total of 136 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Organic Chemistry and 1 paper in Infectious Diseases. Recurrent topics in J. Grace Shaw's work include Ubiquitin and proteasome pathways (2 papers), Click Chemistry and Applications (2 papers) and Cancer-related gene regulation (2 papers). J. Grace Shaw is often cited by papers focused on Ubiquitin and proteasome pathways (2 papers), Click Chemistry and Applications (2 papers) and Cancer-related gene regulation (2 papers). J. Grace Shaw collaborates with scholars based in United States. J. Grace Shaw's co-authors include Edward T. Olejniczak, William P. Tansey, Stephen W. Fesik, Jonathan D. Macdonald, Shaun R. Stauffer, Jason Phan, Feng Wang, Bin Zhao, Rocco D. Gogliotti and Alex G. Waterson and has published in prestigious journals such as Journal of Medicinal Chemistry and Cell Reports.

In The Last Decade

J. Grace Shaw

3 papers receiving 136 citations

Peers

J. Grace Shaw

MB

ONCOL

OC

CTM

HEMAT

Ronan P. Hanley Canada

Jennifer Bardenhagen United States

Stefania Vultaggio Italy

M. Szklarz United Kingdom

Daniela Beck Germany

Carla Mottini Italy

Moses Moustakim United Kingdom

Cunyu Zhang United States

Lee Walmsley United Kingdom

Ronan P. Hanley Canada

J. Grace Shaw

153 ×1.4

MB

60 ×2.0

ONCOL

11 ×0.5

OC

9 ×0.5

CTM

11 ×1.2

HEMAT

Citations per year, relative to J. Grace Shaw J. Grace Shaw (= 1×) peers Ronan P. Hanley

Countries citing papers authored by J. Grace Shaw

Since Specialization

Citations

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

Fields of papers citing papers by J. Grace Shaw

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Grace Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of J. Grace Shaw. A scholar is included among the top collaborators of J. Grace Shaw 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 J. Grace Shaw. J. Grace Shaw 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.

Guarnaccia, Alissa D., Kristie L. Rose, Jing Wang, et al.. (2021). Impact of WIN site inhibitor on the WDR5 interactome. Cell Reports. 34(3). 108636–108636. 36 indexed citations

2.

Wang, Feng, Lance R. Thomas, Jason Phan, et al.. (2020). Discovery of WD Repeat-Containing Protein 5 (WDR5)–MYC Inhibitors Using Fragment-Based Methods and Structure-Based Design. Journal of Medicinal Chemistry. 63(8). 4315–4333. 50 indexed citations

3.

Wang, Feng, Kyu Ok Jeon, James M. Salovich, et al.. (2018). Discovery of Potent 2-Aryl-6,7-dihydro-5 H -pyrrolo[1,2- a ]imidazoles as WDR5-WIN-Site Inhibitors Using Fragment-Based Methods and Structure-Based Design. Journal of Medicinal Chemistry. 61(13). 5623–5642. 50 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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