W.F. Knox

1.7k citations
31 papers · 1.3k · h-index 19

Impact in

    • Breast Cancer Treatment Studies
  • Oncology top 5%
    • HER2/EGFR in Cancer Research
    • Cancer Risks and Factors

Papers in

W.F. Knox

30 papers receiving 1.2k citations

Peers

W.F. Knox
Comparison fields: 5 of 93
  • Cancer Research 516
  • Oncology 569
  • Pathology and Forensic Medicine 241
  • Obstetrics and Gynecology 101
  • Genetics 290
Replace Vicki V. Baker with:
Vicki V. Baker United States
A.G.J. van der Zee Netherlands
Takao Yokoe Japan
Ugo Di Tondo Italy
Li-Zhen Chen China
Niels Tørring Denmark
Hideki Ishihara Japan
Arto Leminen Finland
Jan Kornafel Poland
Hiroo Tateno Japan
W.F. Knox relative to Vicki V. Baker United States Vicki V. Baker's profile →
Citations per field
00.5×3.2×
Vicki V. Baker · 1×
Citations per year

Countries citing papers authored by W.F. Knox

Since Specialization
Citations

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

Fields of papers citing papers by W.F. Knox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004162
2 1993161
3 2005117
4 198498
5 200678
6
Effect of epidermal growth factor receptor tyrosine kinase inhibition on epithelial proliferation in normal and premalignant breast.
200277
7 200366
8 199865
9 198659
10 200158
11 199654
12 200150
13 199736
14 198634
15 199832
16 200531
17 200322
18 199522
19 198621
20 200312

About W.F. Knox

W.F. Knox is a scholar working on Cancer Research, Genetics, Oncology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (14 papers), Estrogen and related hormone effects (10 papers), Breast Lesions and Carcinomas (5 papers), HER2/EGFR in Cancer Research (4 papers), Inflammatory mediators and NSAID effects (3 papers), Colorectal Cancer Treatments and Studies (2 papers), Prenatal Screening and Diagnostics (2 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Cancer Research (516 citations), Oncology (569 citations), Pathology and Forensic Medicine (241 citations), Obstetrics and Gynecology (101 citations) and Genetics (290 citations). W.F. Knox has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include Nigel Bundred, G.P. Boland, Henrik Fox, Kai Chio Chan, Anthony Howell, Ashu Gandhi, A. M. Schor, Marlies E.H.M. Van Hoef, A.D. Baildam and Angela Cramer. Their work appears in journals such as British Journal of Cancer, European Journal of Cancer, British journal of surgery, Journal of Clinical Pathology and Cancer.

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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