David Shimizu

989 total citations
26 papers, 450 citations indexed

About

David Shimizu is a scholar working on Obstetrics and Gynecology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, David Shimizu has authored 26 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Obstetrics and Gynecology, 7 papers in Pathology and Forensic Medicine and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in David Shimizu's work include Endometrial and Cervical Cancer Treatments (9 papers), Ovarian cancer diagnosis and treatment (6 papers) and Genetic factors in colorectal cancer (4 papers). David Shimizu is often cited by papers focused on Endometrial and Cervical Cancer Treatments (9 papers), Ovarian cancer diagnosis and treatment (6 papers) and Genetic factors in colorectal cancer (4 papers). David Shimizu collaborates with scholars based in United States, Japan and Thailand. David Shimizu's co-authors include Keith Y. Terada, Jan H. Wong, Jan H. Wong, Hyeong Jun Ahn, Caroline S. Jiang, Michele Carbone, Haining Yang, Harvey I. Pass, Lani Clinton and Michael A. Black and has published in prestigious journals such as Journal of Clinical Oncology, Human Pathology and Oncotarget.

In The Last Decade

David Shimizu

24 papers receiving 446 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Shimizu United States 11 162 137 135 133 123 26 450
J Jueckstock Germany 9 139 0.9× 117 0.9× 163 1.2× 109 0.8× 61 0.5× 31 374
Noorah Almadani Canada 9 174 1.1× 108 0.8× 42 0.3× 96 0.7× 65 0.5× 16 357
Nicoletta D’Alessandris Italy 14 329 2.0× 92 0.7× 110 0.8× 59 0.4× 76 0.6× 53 487
Paolo Sala Italy 11 124 0.8× 53 0.4× 218 1.6× 155 1.2× 49 0.4× 30 445
Atsumi Kojima Japan 8 378 2.3× 325 2.4× 85 0.6× 245 1.8× 198 1.6× 15 637
Gordon O. Downey United States 9 249 1.5× 82 0.6× 65 0.5× 88 0.7× 62 0.5× 17 350
Lucía González‐Cortijo Spain 11 192 1.2× 59 0.4× 108 0.8× 94 0.7× 84 0.7× 26 434
Mary Kinloch Canada 7 247 1.5× 69 0.5× 39 0.3× 78 0.6× 73 0.6× 18 365
Sambor Sawicki Poland 12 188 1.2× 118 0.9× 55 0.4× 95 0.7× 44 0.4× 44 393
Thomas Papathemelis Germany 9 125 0.8× 58 0.4× 37 0.3× 95 0.7× 32 0.3× 39 289

Countries citing papers authored by David Shimizu

Since Specialization
Citations

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

Fields of papers citing papers by David Shimizu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Shimizu

This figure shows the co-authorship network connecting the top 25 collaborators of David Shimizu. A scholar is included among the top collaborators of David Shimizu 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 David Shimizu. David Shimizu 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.
Ahn, Hyeong Jun, et al.. (2020). Novel immunohistochemical markers in the differential diagnosis of endocervical and endometrial adenocarcinoma: The added benefit of CAIX and PAX8. Gynecologic Oncology Reports. 33. 100614–100614. 2 indexed citations
2.
Wong, Jennifer, et al.. (2018). Using gene expression in patients with endometrial intraepithelial neoplasia to assess the risk of cancer. Gynecologic Oncology Reports. 24. 24–26. 5 indexed citations
3.
Clinton, Lani, et al.. (2017). Low-Volume Lymph Node Metastases in Endometrial Carcinoma. International Journal of Gynecological Cancer. 27(6). 1165–1170. 15 indexed citations
4.
Shimizu, David, et al.. (2017). Placental site trophoblastic tumor with sole metastasis to breast: A case report. Gynecologic Oncology Reports. 21. 86–90. 1 indexed citations
5.
Ahn, Hyeong Jun, et al.. (2016). Loss of Mismatch Repair Protein Expression in Unselected Endometrial Adenocarcinoma Precursor Lesions. International Journal of Gynecological Cancer. 26(2). 228–232. 15 indexed citations
6.
7.
Wong, Jennifer, et al.. (2016). Molecular pathogenesis of endometrial intraepithelial neoplasia: Precursor to endometrial carcinoma. Gynecologic Oncology. 141. 69–70.
8.
Lai, Tiffany, et al.. (2016). Ethnic variations in ARID1a expression in clear cell and endometrioid ovarian carcinoma.. Journal of Clinical Oncology. 34(15_suppl). e17073–e17073. 1 indexed citations
9.
Clinton, Lani, et al.. (2015). The LAST Guidelines in Clinical Practice. American Journal of Clinical Pathology. 144(6). 844–849. 25 indexed citations
10.
Ahn, Hyeong Jun, et al.. (2014). Lynch Syndrome in patients with clear cell and endometrioid cancers of the ovary. Gynecologic Oncology. 135(1). 81–84. 51 indexed citations
11.
Terada, Keith Y., et al.. (2013). Survival of endometrial cancer patients with lymphatic invasion and deficient mismatch repair expression. Gynecologic Oncology. 129(1). 188–192. 7 indexed citations
12.
Shimizu, David, et al.. (2013). Tailgut Cyst with Primary High-Grade Transitional Cell Carcinoma. American Journal of Clinical Pathology. 140(suppl 1). A001–A001. 1 indexed citations
13.
Grzankowski, K.S., David Shimizu, Chieko Kimata, Michael A. Black, & Keith Y. Terada. (2012). Clinical and pathologic features of young endometrial cancer patients with loss of mismatch repair expression. Gynecologic Oncology. 126(3). 408–412. 22 indexed citations
14.
Nasu, Masanori, Michele Carbone, Giovanni Gaudino, et al.. (2011). Ranpirnase Interferes with NF- B Pathway and MMP9 Activity, Inhibiting Malignant Mesothelioma Cell Invasiveness and Xenograft Growth. Genes & Cancer. 2(5). 576–584. 24 indexed citations
15.
Terada, Keith Y., James Davis, Joji Kitayama, & David Shimizu. (2009). Hormonal treatment of metastatic endometrial stromal sarcoma. Journal of Clinical Oncology. 27(15_suppl). e16576–e16576. 1 indexed citations
16.
Terada, Keith Y., David Shimizu, Caroline S. Jiang, & Jan H. Wong. (2006). Outcomes for patients with T1 squamous cell cancer of the vulva undergoing sentinel node biopsy. Gynecologic Oncology. 102(2). 200–203. 41 indexed citations
17.
Kuramochi, Hidekazu, Kazuhiko Hayashi, Yuusuke Uchida, et al.. (2005). 5-fluorouracil related gene expression levels in primary colorectal cancer and corresponding liver metastases. Journal of Clinical Oncology. 23(16_suppl). 3568–3568. 1 indexed citations
18.
Terada, Keith Y., et al.. (2004). DNA aneuploidy is associated with increased mortality for stage I endometrial cancer. Gynecologic Oncology. 95(3). 483–487. 14 indexed citations
19.
Wong, Jan H., et al.. (2002). Impact of the Number of Negative Nodes on Disease-Free Survival in Colorectal Cancer Patients. Diseases of the Colon & Rectum. 45(10). 1341–1348. 70 indexed citations
20.
Terada, Keith Y., David Shimizu, & Jan H. Wong. (2000). Sentinel Node Dissection and Ultrastaging in Squamous Cell Cancer of the Vulva. Gynecologic Oncology. 76(1). 40–44. 103 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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