K.I. Pritchard

2.7k total citations
35 papers, 1.1k citations indexed

About

K.I. Pritchard is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, K.I. Pritchard has authored 35 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Oncology, 20 papers in Cancer Research and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in K.I. Pritchard's work include Breast Cancer Treatment Studies (20 papers), Cancer Treatment and Pharmacology (11 papers) and HER2/EGFR in Cancer Research (10 papers). K.I. Pritchard is often cited by papers focused on Breast Cancer Treatment Studies (20 papers), Cancer Treatment and Pharmacology (11 papers) and HER2/EGFR in Cancer Research (10 papers). K.I. Pritchard collaborates with scholars based in Canada, United States and United Kingdom. K.I. Pritchard's co-authors include Clifford A. Hudis, Robert W. Carlson, Timothy J. Whelan, Mark Levine, Tom Oliver, Robert E. Myers, Mary Johnston, Karen A. Gelmon, Wendy R. Parulekar and Maureen Trudeau and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and JNCI Journal of the National Cancer Institute.

In The Last Decade

K.I. Pritchard

34 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K.I. Pritchard Canada 15 682 580 214 184 183 35 1.1k
Lars Stenbygaard Denmark 12 657 1.0× 516 0.9× 135 0.6× 305 1.7× 137 0.7× 29 1.1k
Holm Eggemann Germany 22 694 1.0× 651 1.1× 214 1.0× 238 1.3× 382 2.1× 76 1.6k
Robert P. Gray United States 15 718 1.1× 859 1.5× 352 1.6× 181 1.0× 174 1.0× 26 1.3k
Nóra Udvarhelyi Hungary 15 324 0.5× 572 1.0× 387 1.8× 125 0.7× 130 0.7× 48 1.2k
Muneaki Sano Japan 19 568 0.8× 400 0.7× 202 0.9× 202 1.1× 115 0.6× 71 1.1k
Knud Andersen Denmark 18 772 1.1× 1.0k 1.7× 500 2.3× 156 0.8× 241 1.3× 31 1.4k
Annabel Goodwin Australia 18 722 1.1× 396 0.7× 149 0.7× 330 1.8× 281 1.5× 45 1.1k
Svjetlana Mohrmann Germany 16 588 0.9× 441 0.8× 160 0.7× 236 1.3× 60 0.3× 63 1.1k
Isabelle Peyrottes France 18 263 0.4× 278 0.5× 155 0.7× 263 1.4× 83 0.5× 41 901
Barbara Fowble United States 12 550 0.8× 631 1.1× 323 1.5× 385 2.1× 146 0.8× 19 1.4k

Countries citing papers authored by K.I. Pritchard

Since Specialization
Citations

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

Fields of papers citing papers by K.I. Pritchard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.I. Pritchard. 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 K.I. Pritchard. The network helps show where K.I. Pritchard may publish in the future.

Co-authorship network of co-authors of K.I. Pritchard

This figure shows the co-authorship network connecting the top 25 collaborators of K.I. Pritchard. A scholar is included among the top collaborators of K.I. Pritchard 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 K.I. Pritchard. K.I. Pritchard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lima, Isac, Meltem Tuna, Chiara Melloni, et al.. (2020). Abstract P5-14-11: Cardiac monitoring in advanced breast cancer patients treated with trastuzumab: Does it improve cardiac safety?. Cancer Research. 80(4_Supplement). P5–14. 1 indexed citations
2.
Jerzak, Katarzyna J., Gerald Lebovic, Paula A. Rochon, et al.. (2019). Cognitive effects of adjuvant endocrine therapy in older women treated for early-stage breast cancer: a 1-year longitudinal study. Supportive Care in Cancer. 27(8). 3035–3043. 21 indexed citations
4.
Goodwin, Pamela J., Wendy R. Parulekar, Karen A. Gelmon, et al.. (2015). Effect of Metformin vs Placebo on and Metabolic Factors in NCIC CTG MA.32. JNCI Journal of the National Cancer Institute. 107(3). djv006–djv006. 93 indexed citations
5.
Buckstein, Rena, Graeme Fraser, Matthew C. Cheung, et al.. (2015). Alemtuzumab and CHOP Chemotherapy for the Treatment of Aggressive Histology Peripheral T Cell Lymphomas: A Multi-Center Phase I Study. Clinical Lymphoma Myeloma & Leukemia. 16(1). 18–28.e4. 11 indexed citations
9.
Kelly, Catherine M. & K.I. Pritchard. (2012). Response. JNCI Journal of the National Cancer Institute. 104(16). 1268–1268. 1 indexed citations
10.
Whelan, Timothy J., Ivo A. Olivotto, Ida Ackerman, et al.. (2011). NCIC-CTG MA.20: An intergroup trial of regional nodal irradiation in early breast cancer.. Journal of Clinical Oncology. 29(18_suppl). LBA1003–LBA1003. 177 indexed citations
11.
Smith, Ian E., Jean‐Yves Pierga, Laura Biganzoli, et al.. (2010). First-line bevacizumab plus taxane-based chemotherapy for locally recurrent or metastatic breast cancer: safety and efficacy in an open-label study in 2251 patients. Annals of Oncology. 22(3). 595–602. 81 indexed citations
12.
Carlson, Robert W., Clifford A. Hudis, & K.I. Pritchard. (2006). Adjuvant Endocrine Therapy in Hormone Receptor-Positive Postmenopausal Breast Cancer: Evolution of NCCN, ASCO, and St Gallen Recommendations. Journal of the National Comprehensive Cancer Network. 4(10). 971–979. 103 indexed citations
13.
Trudeau, Maureen, Karen A. Gelmon, Kara Laing, et al.. (2005). Selection of adjuvant chemotherapy for treatment of node-positive breast cancer. The Lancet Oncology. 6(11). 886–898. 106 indexed citations
14.
Pritchard, K.I. & Timothy J. Whelan. (2005). Clinical trial update: National Cancer Institute of Canada. Breast Cancer Research. 7(2). 48–51. 8 indexed citations
15.
Myers, Robert E., Mary Johnston, K.I. Pritchard, Mark Levine, & Tom Oliver. (2001). Baseline staging tests in primary breast cancer: a practice guideline.. PubMed. 164(10). 1439–44. 91 indexed citations
16.
Roy, J.A., C. Sawka, & K.I. Pritchard. (1996). Hormone replacement therapy in women with breast cancer. Do the risks outweigh the benefits?. Journal of Clinical Oncology. 14(3). 997–1006. 42 indexed citations
17.
Chapman, Judy‐Anne W., B.G. Mobbs, David R. McCready, et al.. (1996). An investigation of cut-points for primary breast cancer oestrogen and progesterone receptor assays. The Journal of Steroid Biochemistry and Molecular Biology. 57(5-6). 323–328. 16 indexed citations
18.
Chapman, Judy‐Anne W., David Murray, David R. McCready, et al.. (1996). An improved statistical approach: Can it clarify the role of new prognostic factors for breast cancer?. European Journal of Cancer. 32(11). 1949–1956. 9 indexed citations
19.
Mobbs, B.G., et al.. (1987). Estrogen and progesterone receptor content of primary and secondary breast carcinoma: Influence of time and treatment. European Journal of Cancer and Clinical Oncology. 23(6). 819–826. 44 indexed citations
20.
Band, Pierre R., J. Maroun, K.I. Pritchard, et al.. (1986). Phase II study of lonidamine in patients with metastatic breast cancer: a National Cancer Institute of Canada Clinical Trials Group Study.. PubMed. 70(11). 1305–10. 21 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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