Gregory J. Kirkner

7.6k total citations · 1 hit paper
70 papers, 5.7k citations indexed

About

Gregory J. Kirkner is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Gregory J. Kirkner has authored 70 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 34 papers in Oncology and 30 papers in Cancer Research. Recurrent topics in Gregory J. Kirkner's work include Genetic factors in colorectal cancer (27 papers), Epigenetics and DNA Methylation (25 papers) and Cancer Genomics and Diagnostics (14 papers). Gregory J. Kirkner is often cited by papers focused on Genetic factors in colorectal cancer (27 papers), Epigenetics and DNA Methylation (25 papers) and Cancer Genomics and Diagnostics (14 papers). Gregory J. Kirkner collaborates with scholars based in United States, Canada and Japan. Gregory J. Kirkner's co-authors include Charles S. Fuchs, Shuji Ogino, Takako Kawasaki, Katsuhiko Nosho, Massimo Loda, Edward L. Giovannucci, Kaori Shima, Natsumi Irahara, Andrew T. Chan and Jeffrey A. Meyerhardt and has published in prestigious journals such as Journal of Clinical Oncology, Gastroenterology and PLoS ONE.

In The Last Decade

Gregory J. Kirkner

62 papers receiving 5.6k citations

Hit Papers

CpG island methylator phenotype, microsatellite instabili... 2008 2026 2014 2020 2008 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregory J. Kirkner United States 38 2.6k 2.5k 2.4k 1.5k 595 70 5.7k
Jennifer S. Herrick United States 42 2.0k 0.8× 2.3k 0.9× 1.5k 0.6× 1.7k 1.2× 562 0.9× 127 5.6k
Reiko Nishihara United States 41 4.1k 1.6× 2.0k 0.8× 2.2k 0.9× 1.5k 1.1× 1.6k 2.7× 94 6.8k
Laura Baglietto Australia 37 1.7k 0.6× 1.3k 0.5× 911 0.4× 901 0.6× 533 0.9× 116 4.3k
Amanda I. Phipps United States 36 2.6k 1.0× 802 0.3× 1.0k 0.4× 1.1k 0.8× 683 1.1× 141 4.3k
Byeong‐Woo Park South Korea 42 2.4k 0.9× 1.0k 0.4× 1.5k 0.6× 2.4k 1.6× 766 1.3× 210 5.3k
Elena M. Stoffel United States 38 2.7k 1.0× 854 0.3× 2.4k 1.0× 1.4k 0.9× 766 1.3× 137 4.7k
Matti Eskelinen Finland 45 3.7k 1.4× 2.6k 1.0× 1.9k 0.8× 1.7k 1.2× 1.1k 1.8× 253 8.2k
Sei Hyun Ahn South Korea 36 2.2k 0.8× 952 0.4× 958 0.4× 1.9k 1.3× 639 1.1× 238 4.7k
Kieran Horgan United Kingdom 36 2.2k 0.9× 1.1k 0.4× 1.4k 0.6× 2.4k 1.6× 583 1.0× 152 5.2k
Hanna K. Sanoff United States 37 2.5k 1.0× 1.5k 0.6× 688 0.3× 1.1k 0.8× 882 1.5× 178 5.4k

Countries citing papers authored by Gregory J. Kirkner

Since Specialization
Citations

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

Fields of papers citing papers by Gregory J. Kirkner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregory J. Kirkner

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory J. Kirkner. A scholar is included among the top collaborators of Gregory J. Kirkner 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 Gregory J. Kirkner. Gregory J. Kirkner 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
2.
Martin, Alyssa R., Melissa E. Hughes, Gregory J. Kirkner, et al.. (2025). Patterns of presentation, treatment, and survival among older adults with metastatic breast cancer: Results from a large prospective registry. Journal of Geriatric Oncology. 16(5). 102261–102261.
4.
Sella, Tal, Shoshana M. Rosenberg, Gregory J. Kirkner, et al.. (2024). Breastfeeding experiences among young breast cancer survivors: A survey study. Cancer. 131(1). e35585–e35585. 3 indexed citations
5.
Grinshpun, Albert, Wen Ma, Giorgio Gaglia, et al.. (2024). Pure estrogen receptor antagonists potentiate capecitabine activity in ESR1-mutant breast cancer. npj Breast Cancer. 10(1). 42–42. 3 indexed citations
6.
Jovanović, Bojana, S. Church, Khrystyna North, et al.. (2024). Integrative Multiomic Profiling of Triple-Negative Breast Cancer for Identifying Suitable Therapies. Clinical Cancer Research. 30(20). 4768–4779. 3 indexed citations
7.
Gibson, Christopher J., Geoffrey Fell, Tal Sella, et al.. (2023). Clonal Hematopoiesis in Young Women Treated for Breast Cancer. Clinical Cancer Research. 29(13). 2551–2558. 15 indexed citations
8.
Sella, Tal, Shoshana M. Rosenberg, Gregory J. Kirkner, et al.. (2023). Conception and pregnancy among women with a live birth after breast cancer treatment: A survey study of young breast cancer survivors. Cancer. 130(4). 517–529. 2 indexed citations
9.
Gupta, Hersh, Rachel A. Freedman, Melissa E. Hughes, et al.. (2023). Abstract P5-14-06: Tumor Genomic Landscape in Older Women with Metastatic Breast Cancer (MBC). Cancer Research. 83(5_Supplement). P5–14.
10.
Waldron, Levi, Shuji Ogino, Yujin Hoshida, et al.. (2012). Expression Profiling of Archival Tumors for Long-term Health Studies. Clinical Cancer Research. 18(22). 6136–6146. 25 indexed citations
11.
Nosho, Katsuhiko, Kaori Shima, Natsumi Irahara, et al.. (2009). DNMT3B Expression Might Contribute to CpG Island Methylator Phenotype in Colorectal Cancer. Clinical Cancer Research. 15(11). 3663–3671. 114 indexed citations
12.
Nosho, Katsuhiko, Natsumi Irahara, Kaori Shima, et al.. (2008). Comprehensive Biostatistical Analysis of CpG Island Methylator Phenotype in Colorectal Cancer Using a Large Population-Based Sample. PLoS ONE. 3(11). e3698–e3698. 229 indexed citations
13.
Ogino, Shuji, Katsuhiko Nosho, Gregory J. Kirkner, et al.. (2008). CpG island methylator phenotype, microsatellite instability, BRAF mutation and clinical outcome in colon cancer. Gut. 58(1). 90–96. 594 indexed citations breakdown →
14.
Ogino, Shuji, Takako Kawasaki, Gregory J. Kirkner, et al.. (2007). Evaluation of Markers for CpG Island Methylator Phenotype (CIMP) in Colorectal Cancer by a Large Population-Based Sample. Journal of Molecular Diagnostics. 9(3). 305–314. 265 indexed citations
15.
Ogino, Shuji, Takako Kawasaki, Akiyo Ogawa, et al.. (2007). TGFBR2 mutation is correlated with CpG island methylator phenotype in microsatellite instability-high colorectal cancer. Human Pathology. 38(4). 614–620. 37 indexed citations
17.
Ogino, Shuji, Takako Kawasaki, Mohan Brahmandam, et al.. (2006). Precision and Performance Characteristics of Bisulfite Conversion and Real-Time PCR (MethyLight) for Quantitative DNA Methylation Analysis. Journal of Molecular Diagnostics. 8(2). 209–217. 336 indexed citations
18.
Ogino, Shuji, Takako Kawasaki, Gregory J. Kirkner, Massimo Loda, & Charles S. Fuchs. (2006). CpG Island Methylator Phenotype-Low (CIMP-Low) in Colorectal Cancer: Possible Associations with Male Sex and KRAS Mutations. Journal of Molecular Diagnostics. 8(5). 582–588. 243 indexed citations
19.
Martin, Sarah Levin, Gregory J. Kirkner, Kelly Mayo, et al.. (2005). Urban, Rural, and Regional Variations in Physical Activity. The Journal of Rural Health. 21(3). 239–244. 193 indexed citations
20.

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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