F.J. Sorrell

1.3k citations
17 papers · 936 indexed · 1 hit paper · h-index 13

F.J. Sorrell

17 papers receiving 922 citations

Hit Papers

Structural basis of Keap1 interactions with Nrf24752015202620182022100200300400

Peers

F.J. Sorrell
Comparison fields: 5 of 98
  • Molecular Biology 672
  • Biological Psychiatry 17
  • Biochemistry 27
  • Cell Biology 70
  • Organic Chemistry 122
Replace Sharadha Dayalan Naidu with:
Sharadha Dayalan Naidu United Kingdom
Chhanda Bose United States
Maribel Escoll Spain
Zhiqi Song China
Zhiqiang Zheng China
Jay I. Koepke United States
Sadagopan Magesh Japan
Jennifer L. Meitzler United States
Chiharu Sadamitsu Japan
Ji Yong Jang South Korea
F.J. Sorrell relative to Sharadha Dayalan Naidu United Kingdom Sharadha Dayalan Naidu's profile →
Citations per field
00.5×4.1×
Sharadha Dayalan Naidu · 1×
Citations per year

Countries citing papers authored by F.J. Sorrell

Since Specialization
Citations

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

Fields of papers citing papers by F.J. Sorrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 20244
2 202328
3 20224
4 202111
5 202114
6 202011
7 201912
8 201942
9 201771
10 2016107
11
Structural basis of Keap1 interactions with Nrf2breakdown →
2015475
12 201420
13 201456
14 201120
15 201024
16 201014
17 201023

About F.J. Sorrell

F.J. Sorrell is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Organic Chemistry and Oncology, having authored 17 papers that have together received 936 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (4 papers), Ubiquitin and proteasome pathways (4 papers), Prion Diseases and Protein Misfolding (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Cell death mechanisms and regulation (3 papers), RNA regulation and disease (2 papers), Quinazolinone synthesis and applications (2 papers) and Melanoma and MAPK Pathways (2 papers). The work is most often cited by research in Molecular Biology (672 citations), Biological Psychiatry (17 citations), Biochemistry (27 citations), Cell Biology (70 citations) and Organic Chemistry (122 citations). F.J. Sorrell has collaborated with scholars based in United Kingdom, Brazil and Germany. Frequent co-authors include Alex N. Bullock, Peter Canning, Jonathan M. Elkins, Stefan Knapp, Kamal R. Abdul Azeez, M. Szklarz, Beining Chen, Frances‐Rose Schumacher, Dario R. Alessi and Thimo Kurz. Their work appears in journals such as Biochemical Journal, Journal of Medicinal Chemistry, ChemMedChem, European Journal of Medicinal Chemistry and ACS Medicinal Chemistry Letters.

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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