Swee Y. Sharp

5.3k citations
45 papers · 2.8k indexed · h-index 25

Swee Y. Sharp

45 papers receiving 2.8k citations

Peers

Swee Y. Sharp
Comparison fields: 5 of 103
  • Toxicology 124
  • Molecular Biology 2.0k
  • Oncology 750
  • Computational Theory and Mathematics 362
  • Physical and Theoretical Chemistry 169
Replace John Sensintaffar with:
John Sensintaffar United States
Laura Sepp‐Lorenzino United States
Brian Dymock Singapore
Michael I. Walton United Kingdom
Wynne Aherne United Kingdom
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Angelika M. Burger United States
Marzia Pennati Italy
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Citations per year

Countries citing papers authored by Swee Y. Sharp

Since Specialization
Citations

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

Fields of papers citing papers by Swee Y. Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Swee Y. Sharp. 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 Swee Y. Sharp. The network helps show where Swee Y. Sharp may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Swee Y. Sharp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Swee Y. Sharp Line = papers co-authored together Swee Y. Sharp links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202011
2 201774
3 201218
4 201062
5 201086
6 201021
7 200971
8 200992
9 2008104
10
Acquired resistance to HSP90 inhibitor 17-allylamino-17-demethoxygeldanamycin (17-AAG) in adult and pediatric glioblastoma cell lines
20081
11 200830
12 200716
13
NVP-AUY922 / VER-52296: A novel 3,4 diarylisoxazole Hsp90 chaperone inhibitor discovered via structure-based drug design
20071
14 20058
15
Mechanism of action of a novel series of inhibitors of the Hsp90 molecular chaperone
20041
16
Induction of Hsp70 and depletion of the client protein c-Raf-1 measured by ELISA following cellular exposure to the novel Hsp90 ATPase inhibitor, CCT018159
20032
17 200061
18 200093
19 1999280
20 1998172

About Swee Y. Sharp

Swee Y. Sharp is a scholar working on Toxicology, Molecular Biology and Computational Theory and Mathematics, having authored 45 papers that have together received 2.8k indexed citations. Recurring topics across this work include Heat shock proteins research (29 papers), ATP Synthase and ATPases Research (12 papers), Computational Drug Discovery Methods (8 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Bioactive Compounds and Antitumor Agents (4 papers), Protein Structure and Dynamics (4 papers), Metal complexes synthesis and properties (4 papers) and Enzyme Structure and Function (4 papers). The work is most often cited by research in Toxicology (124 citations), Molecular Biology (2.0k citations) and Oncology (750 citations). Swee Y. Sharp has collaborated with scholars based in United Kingdom, France and Portugal. Frequent co-authors include Paul Workman, Lloyd R. Kèlland, Paul Rogers, LR Kelland, Philip Beale, Timothy G. Myers, Steve Hobbs, Florence I. Raynaud, Michael J. Abrams and Barry A. Murrer. Their work appears in journals such as Cancer Research, European Journal of Cancer, Molecular Cancer Therapeutics, British Journal of Cancer and Blood.

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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