F. Gorrec

21 papers receiving 1.4k citations

F. Gorrec's Hit Papers

Type IIA topoisomerase inhibition by a new class of antibacterial agents 2010 · 739 citations
7390+5+10Years since publication200400600

Peers

F. Gorrec
Comparison fields: 5 of 73
  • Molecular Medicine 107
  • Molecular Biology 685
  • Organic Chemistry 323
  • Computational Theory and Mathematics 95
  • Applied Microbiology and Biotechnology 13
Replace Earl W. May with:
Earl W. May United States
Claus E. Spitzfaden United Kingdom
Anthony Shillings United Kingdom
Adam W. Barb United States
Kristin K. Brown United States
Tatiana P. Soares da Costa Australia
Fenglin Yin United States
Zhengyu Yuan China
Ilaria Giordano United Kingdom
Adrian John Lloyd United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by F. Gorrec

Since Specialization
Citations

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

Fields of papers citing papers by F. Gorrec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside F. Gorrec, 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 F. Gorrec Line = papers co-authored together F. Gorrec links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Type IIA topoisomerase inhibition by a new class of antibacterial agents
Hit paper breakdown →
2010739
2 2010265
3 2009230
4 201160
5 201947
6 201531
7 201120
8 201315
9 201614
10 201811
11 20145
12 20195
13 20215
14
The p110 delta structure: mechanisms for selectivity and potency of new PI(3)K inhibitors.
20103
15 20183
16 20213
17 20213
18 20213
19 20182
20 20252

About F. Gorrec

F. Gorrec is a scholar working on Materials Chemistry, Physical and Theoretical Chemistry, Molecular Biology, Biomedical Engineering and Nuclear Energy and Engineering, having authored 21 papers that have together received 1.5k indexed citations. Recurring topics across this work include Enzyme Structure and Function (13 papers), Crystallography and molecular interactions (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Cancer therapeutics and mechanisms (1 paper), RNA and protein synthesis mechanisms (1 paper), Protein Structure and Dynamics (1 paper) and Surface Chemistry and Catalysis (1 paper). The work is most often cited by research in Molecular Medicine (107 citations), Molecular Biology (685 citations), Organic Chemistry (323 citations), Computational Theory and Mathematics (95 citations) and Applied Microbiology and Biotechnology (13 citations). F. Gorrec has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Yi Liu, Simon Miller, Wai‐Ching Hon, Daniel D. Le, Joseph I. Pacold, Christian Rommel, Kevan M. Shokat, Jeffrey P. Shaw, Benjamin T. Houseman and Pingda Ren. Their work appears in journals such as Journal of Applied Crystallography, Acta Crystallographica Section A Foundations and Advances, Journal of Visualized Experiments, Drug Discovery Today and Molecular Physics.

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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