Ken Ryder

852 total citations
11 papers, 668 citations indexed

About

Ken Ryder is a scholar working on Pathology and Forensic Medicine, Cancer Research and Oncology. According to data from OpenAlex, Ken Ryder has authored 11 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pathology and Forensic Medicine, 7 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Ken Ryder's work include Breast Cancer Treatment Studies (7 papers), Breast Lesions and Carcinomas (6 papers) and Cancer and Skin Lesions (2 papers). Ken Ryder is often cited by papers focused on Breast Cancer Treatment Studies (7 papers), Breast Lesions and Carcinomas (6 papers) and Cancer and Skin Lesions (2 papers). Ken Ryder collaborates with scholars based in United Kingdom, United States and Australia. Ken Ryder's co-authors include Cheryl Gillett, Sunil R. Lakhani, Laura Fulford, Chris Jones, Jorge S. Reis‐Filho, Andrew M. Hanby, Ian S. Fentiman, Douglas F. Easton, Andrew Hanby and N. Beechey‐Newman and has published in prestigious journals such as Blood, Cancer and Clinical Cancer Research.

In The Last Decade

Ken Ryder

11 papers receiving 639 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ken Ryder United Kingdom	8	383	368	230	169	155	11	668
Yunn Yi Chen United States	8	283 0.7×	389 1.1×	280 1.2×	93 0.6×	229 1.5×	8	741
Schmitt Fc United Kingdom	4	206 0.5×	252 0.7×	183 0.8×	105 0.6×	122 0.8×	6	441
D. Hungermann Germany	11	265 0.7×	196 0.5×	136 0.6×	84 0.5×	173 1.1×	23	555
John D. Miedler United States	12	259 0.7×	123 0.3×	74 0.3×	79 0.5×	337 2.2×	18	625
Teruko Takarabe Japan	11	187 0.5×	297 0.8×	180 0.8×	109 0.6×	149 1.0×	14	477
Valerie Dunmire United States	10	159 0.4×	123 0.3×	148 0.6×	129 0.8×	245 1.6×	11	529
C E Gillett United Kingdom	6	449 1.2×	304 0.8×	110 0.5×	41 0.2×	369 2.4×	9	729
Ingrid Lebigot France	8	286 0.7×	191 0.5×	74 0.3×	20 0.1×	248 1.6×	8	543
Johanna M.M. van Oers Netherlands	14	122 0.3×	90 0.2×	95 0.4×	90 0.5×	446 2.9×	16	857
Michele Gabree United States	7	209 0.5×	160 0.4×	103 0.4×	37 0.2×	215 1.4×	9	524

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-authorship network of co-authors of Ken Ryder

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Ryder. A scholar is included among the top collaborators of Ken Ryder based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ken Ryder. Ken Ryder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Fulford, Laura, Jorge S. Reis‐Filho, Ken Ryder, et al.. (2007). Basal-like grade III invasive ductal carcinoma of the breast: patterns of metastasis and long-term survival. Breast Cancer Research. 9(1). R4–R4. 252 indexed citations

Gillett, Cheryl, et al.. (2006). Different patterns of inflammation and prognosis in invasive carcinoma of the breast. Histopathology. 48(6). 692–701. 77 indexed citations

Millis, Rosemary R., Sarah E. Pinder, Ken Ryder, Rachel Howitt, & Sunil R. Lakhani. (2004). Grade of recurrent in situ and invasive carcinoma following treatment of pure ductal carcinoma in situ of the breast. British Journal of Cancer. 90(8). 1538–1542. 7 indexed citations

Jones, Chris, Emily S. Ford, Cheryl Gillett, et al.. (2004). Molecular Cytogenetic Identification of Subgroups of Grade III Invasive Ductal Breast Carcinomas with Different Clinical Outcomes. Clinical Cancer Research. 10(18). 5988–5997. 132 indexed citations

Barnes, D M, R R Millis, C E Gillett, et al.. (2004). The interaction of oestrogen receptor status and pathological features with adjuvant treatment in relation to survival in patients with operable breast cancer: a retrospective study of 2660 patients.. Endocrine Related Cancer. 11(1). 85–96. 24 indexed citations

Fields, Paul, G. Mikhaeel, Jeremy L. Freeman, et al.. (2003). Diffuse large B cell lymphoma: Characterisation of immunohistochemical and interim PET scan analysis and correlation with outcome.. Blood. 102(11). 1 indexed citations

Kothari, Ashutosh, N. Beechey‐Newman, Hisham Hamed, et al.. (2002). Paget disease of the nipple. Cancer. 95(1). 1–7. 101 indexed citations

Kothari, Ashutosh, N. Beechey‐Newman, Corrado D’Arrigo, et al.. (2002). Breast carcinoma in women age 25 years or less. Cancer. 94(3). 606–614. 40 indexed citations

Millis, Rosemary R., et al.. (2001). Occult axillary lymph node metastases are of no prognostic significance breast cancer. European Journal of Cancer. 37. 24–24. 2 indexed citations

10.

Hanby, Andrew M., et al.. (2000). Cell cycle proteins do not predict outcome in grade I infiltrating ductal carcinoma of the breast. International Journal of Cancer. 89(1). 26–31. 31 indexed citations

11.

Ryder, Ken, Edward Brent, & Greta M. Ljung. (1990). Statistical Navigator.. Journal of the Royal Statistical Society Series C (Applied Statistics). 39(1). 139–139. 1 indexed citations

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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