WM Gregory

414 citations
16 papers · 317 indexed · h-index 9

Impact in

    • Cancer Treatment and Pharmacology
    • Global Cancer Incidence and Screening
    • Cancer Risks and Factors
    • Breast Cancer Treatment Studies

Papers in

    • Breast Cancer Treatment Studies 6
    • Cancer Risks and Factors 3
    • HER2/EGFR in Cancer Research 2

WM Gregory

15 papers receiving 301 citations

Peers

WM Gregory
Comparison fields: 5 of 52
  • Oncology 195
  • Cancer Research 101
  • Pathology and Forensic Medicine 90
  • Genetics 25
  • Genetics 53
Replace B. Pakisch with:
B. Pakisch Austria
N.S. Russell Netherlands
Kristín Bjarnadóttir Iceland
Anne-Birgitte Jacobsen Norway
I D H Todd United Kingdom
F Feuilhade France
Marina Pulido France
Piotr Skotnicki Poland
Offiong F. Ikpatt United States
Nicholas J. Petrelli United States
WM Gregory relative to B. Pakisch Austria B. Pakisch's profile →
Citations per field
00.5×1.5×2.0×
B. Pakisch · 1×
Citations per year

Countries citing papers authored by WM Gregory

Since Specialization
Citations

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

Fields of papers citing papers by WM Gregory

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 199352
2 199351
3 198849
4 199638
5 199235
6 199634
7 201215
8 199711
9 19948
10 19968
11 19906
12 20095
13 20093
14 20191
15 20091
16 20090

About WM Gregory

WM Gregory is a scholar working on Cancer Research, Oncology, Modeling and Simulation, Hematology and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 317 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (6 papers), Cancer Risks and Factors (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), Lung Cancer Treatments and Mutations (2 papers), HER2/EGFR in Cancer Research (2 papers), Estrogen and related hormone effects (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Inflammatory mediators and NSAID effects (2 papers). The work is most often cited by research in Oncology (195 citations), Cancer Research (101 citations), Pathology and Forensic Medicine (90 citations), Genetics (25 citations) and Genetics (53 citations). WM Gregory has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include MA Richards, IS Fentiman, John Wagstaff, R. Swindell, Paul Smith, RD Rubens, D Crowther, ME Hill, TA Lister and Peter Smith. Their work appears in journals such as British Journal of Cancer, Cancer Research, International Journal of Gynecology & Obstetrics and Clinical Lymphoma & Myeloma.

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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