Ken Ryder

853 citations
11 papers · 693 · h-index 8

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
    • Cancer and Skin Lesions

Papers in

Ken Ryder

11 papers receiving 656 citations

Peers

Ken Ryder
Comparison fields: 5 of 57
  • Cancer Research 321
  • Dermatology 150
  • Oncology 282
  • Pathology and Forensic Medicine 161
  • Genetics 57
Replace Ranbir Chaggar with:
Ranbir Chaggar United Kingdom
Schmitt Fc United States
Yunn Yi Chen United States
Teruko Takarabe Japan
Valerie Dunmire United States
Carolina Sánchez‐Estévez Spain
Asunción Suárez Spain
Crispinita D. Arroyo United States
C E Gillett United Kingdom
Ann Boguniewicz United States
Ken Ryder relative to Ranbir Chaggar United Kingdom Ranbir Chaggar's profile →
Citations per field
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Ranbir Chaggar · 1×
Citations per year

Countries citing papers authored by Ken Ryder

Since Specialization
Citations

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

Fields of papers citing papers by Ken Ryder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2007258
2 2004133
3 2002113
4 200679
5 200240
6 200031
7 200427
8 20048
9 20012
10
Diffuse large B cell lymphoma: Characterisation of immunohistochemical and interim PET scan analysis and correlation with outcome.
20031
11 19901

About Ken Ryder

Ken Ryder is a scholar working on Pathology and Forensic Medicine, Cancer Research, Oncology, Genetics and Surgery, having authored 11 papers that have together received 693 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (5 papers), Breast Lesions and Carcinomas (4 papers), Cancer and Skin Lesions (1 paper), Estrogen and related hormone effects (1 paper), Cancer-related Molecular Pathways (1 paper), Lung Cancer Treatments and Mutations (1 paper), Cancer Genomics and Diagnostics (1 paper) and Cancer Risks and Factors (1 paper). The work is most often cited by research in Cancer Research (321 citations), Dermatology (150 citations), Oncology (282 citations), Pathology and Forensic Medicine (161 citations) and Genetics (57 citations). Ken Ryder has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Cheryl Gillett, Sunil R. Lakhani, Jorge S. Reis‐Filho, Laura Fulford, Chris Jones, Andrew M. Hanby, Ian S. Fentiman, Andrew Hanby, Douglas F. Easton and Ashutosh Kothari. Their work appears in journals such as Cancer, Histopathology, Clinical Cancer Research, Journal of the Royal Statistical Society Series C (Applied Statistics) and Blood.

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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