Francesca Davis

1.3k citations
10 papers · 649 · h-index 9

Impact in

    • Osteoarthritis Treatment and Mechanisms
  • Pharmacology top 10%
    • Inflammatory mediators and NSAID effects
    • Musculoskeletal pain and rehabilitation

Papers in

    • Protein Degradation and Inhibitors 2
    • Histone Deacetylase Inhibitors Research 2
    • RNA and protein synthesis mechanisms 2
    • RNA Research and Splicing 2
    • Signaling Pathways in Disease 1
    • Peptidase Inhibition and Analysis 1

Francesca Davis

10 papers receiving 639 citations

Peers

Francesca Davis
Comparison fields: 5 of 77
  • Rheumatology 168
  • Pharmacology 107
  • Molecular Biology 384
  • Cancer Research 82
  • Cell Biology 66
Replace Lynn Rowley with:
Lynn Rowley Australia
David Hum Canada
Danping Guo United States
Hong Wei Liu China
Selene Pérez‐García Spain
Chenyan Wu United States
G Partsch Austria
David B. Lipshutz United States
Mark Hopkinson United Kingdom
Yun Hyun Huh South Korea
Francesca Davis relative to Lynn Rowley Australia Lynn Rowley's profile →
Citations per field
00.5×1.5×
Lynn Rowley · 1×
Citations per year

Countries citing papers authored by Francesca Davis

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2010147
2 2007145
3 2003103
4 200165
5 200255
6 200742
7 200440
8 200730
9 201019
10 20013

About Francesca Davis

Francesca Davis is a scholar working on Molecular Biology, Oncology, Cancer Research, Pharmacology and Rheumatology, having authored 10 papers that have together received 649 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (2 papers), Histone Deacetylase Inhibitors Research (2 papers), RNA and protein synthesis mechanisms (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers), RNA Research and Splicing (2 papers), Peptidase Inhibition and Analysis (1 paper), Signaling Pathways in Disease (1 paper) and Pain Mechanisms and Treatments (1 paper). The work is most often cited by research in Rheumatology (168 citations), Pharmacology (107 citations), Molecular Biology (384 citations), Cancer Research (82 citations) and Cell Biology (66 citations). Francesca Davis has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include Mahesh P. Gupta, Madhu Gupta, Robert J. Schwartz, André J. van Wijnen, Hee‐Jeong Im, Blanca Camoretti-Mercado, Thomas Schmid, Viswanathan Natarajan, Richard F. Loeser and Joel A. Block. Their work appears in journals such as Journal of Biological Chemistry, American Journal of Physiology-Heart and Circulatory Physiology, Neoplasia, Gene and Molecular Cancer Research.

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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