Rieko Nishimura

1.6k total citations
90 papers, 1.1k citations indexed

About

Rieko Nishimura is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Rieko Nishimura has authored 90 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Oncology, 28 papers in Pulmonary and Respiratory Medicine and 23 papers in Pathology and Forensic Medicine. Recurrent topics in Rieko Nishimura's work include Breast Lesions and Carcinomas (19 papers), Breast Cancer Treatment Studies (18 papers) and HER2/EGFR in Cancer Research (10 papers). Rieko Nishimura is often cited by papers focused on Breast Lesions and Carcinomas (19 papers), Breast Cancer Treatment Studies (18 papers) and HER2/EGFR in Cancer Research (10 papers). Rieko Nishimura collaborates with scholars based in Japan, United States and Italy. Rieko Nishimura's co-authors include Norihiro Teramoto, Shigemitsu Takashima, Shozo Ohsumi, Junichirou Nasu, Akira Kurita, Daisuke Takabatake, Naruto Taira, Minoru Tanada, Kenjiro Aogi and Isao Nozaki and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Rieko Nishimura

82 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rieko Nishimura Japan 20 390 375 304 296 282 90 1.1k
Gabriele Reinartz Germany 13 246 0.6× 314 0.8× 358 1.2× 148 0.5× 114 0.4× 44 804
Daoud Rahal Italy 17 598 1.5× 221 0.6× 276 0.9× 150 0.5× 126 0.4× 46 999
Fredrick C. Ames United States 12 329 0.8× 220 0.6× 492 1.6× 336 1.1× 653 2.3× 15 1.1k
Nadia Al‐Kaisi United States 13 254 0.7× 272 0.7× 293 1.0× 225 0.8× 317 1.1× 16 938
A. Bembenek Germany 17 376 1.0× 278 0.7× 190 0.6× 412 1.4× 257 0.9× 50 843
Luciano Scandolaro Italy 13 351 0.9× 231 0.6× 475 1.6× 325 1.1× 232 0.8× 25 1.0k
David Wiese United States 22 1.3k 3.4× 447 1.2× 318 1.0× 880 3.0× 258 0.9× 60 1.8k
Laura A. Smit Netherlands 17 559 1.4× 157 0.4× 404 1.3× 356 1.2× 55 0.2× 39 1.2k
S. Tunc Gokaslan United States 15 529 1.4× 194 0.5× 136 0.4× 322 1.1× 100 0.4× 31 923
Celia Chao United States 13 374 1.0× 303 0.8× 513 1.7× 492 1.7× 540 1.9× 28 1.1k

Countries citing papers authored by Rieko Nishimura

Since Specialization
Citations

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

Fields of papers citing papers by Rieko Nishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rieko Nishimura

This figure shows the co-authorship network connecting the top 25 collaborators of Rieko Nishimura. A scholar is included among the top collaborators of Rieko Nishimura 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 Rieko Nishimura. Rieko Nishimura 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.
Nishimura, Rieko & Mikinao Oiwa. (2023). Combined Use of Cell Block and Smear Improves the Cytological Diagnosis of Malignancy in Non‐Palpable Breast Lesions Screened by Imaging. Analytical Cellular Pathology. 2023(1). 1869858–1869858.
2.
Foschini, Maria Pia, et al.. (2022). Breast lesions with myoepithelial phenotype. Histopathology. 82(1). 53–69. 2 indexed citations
3.
Nishimura, Rieko, Yuya Murata, Katsushige Yamashiro, et al.. (2018). Evaluation of the HER2 and Hormone Receptor Status in Metastatic Breast Cancer Using Cell Blocks: A Multi-Institutional Study. Acta Cytologica. 62(4). 288–294. 10 indexed citations
4.
Yamamoto, Yasuko, Kazuhiro Takehara, Yuko Shiroyama, et al.. (2015). A case of ependymoma arising from the peritoneum. International Cancer Conference Journal. 5(3). 121–125. 1 indexed citations
5.
6.
Nishimura, Rieko, et al.. (2012). Usefulness of cell-block preparation in aspiration cytology specimen. The Journal of the Japanese Society of Clinical Cytology. 51(4). 235–240.
7.
Tamaki, Yasuhiro, Nobuaki Sato, Keiichi Homma, et al.. (2012). Routine clinical use of the one‐step nucleic acid amplification assay for detection of sentinel lymph node metastases in breast cancer patients. Cancer. 118(14). 3477–3483. 47 indexed citations
8.
Sugawara, Yoshifumi, et al.. (2010). False-positive 18F-fluorodeoxyglucose positron emission tomography/computed tomography caused by incidental injury in a bulky intracystic carcinoma of the breast. Japanese Journal of Radiology. 28(4). 305–308. 1 indexed citations
9.
Hara, Fumikata, Daisuke Takabatake, Seiki Takashima, et al.. (2010). Endometrial Metastasis from Breast Cancer during Adjuvant Endocrine Therapy. Case Reports in Oncology. 3(2). 137–141. 15 indexed citations
10.
Teramoto, Norihiro, et al.. (2009). Re‐classification of pTNM staging for lung cancer: Single‐institution report at a Japanese comprehensive cancer hospital. Pathology International. 59(6). 376–381. 2 indexed citations
11.
Segawa, Yoshihiko, Masanori Fujii, Isao Oze, et al.. (2009). Immunohistochemical detection of neuroendocrine differentiation in non-small-cell lung cancer and its clinical implications. Journal of Cancer Research and Clinical Oncology. 135(8). 1055–1059. 29 indexed citations
12.
Tsutani, Yasuhiro, Shozo Ohsumi, Kenjiro Aogi, et al.. (2006). A case of metastatic Breast Cancer with HER2 gene amplification that responded completely to single agent trastuzumab. Breast Cancer. 13(4). 374–377. 3 indexed citations
13.
Teramoto, Norihiro, et al.. (2005). Adenoid basal carcinoma of the uterine cervix: Report of two cases with reference to adenosquamous carcinoma. Pathology International. 55(7). 445–452. 15 indexed citations
14.
Hashine, Katsuyoshi, et al.. (2004). RETROPERITONEAL BRONCHOGENIC CYST : A CASE REPORT. 66(7). 511–513. 1 indexed citations
15.
Nishimura, Rieko, et al.. (2002). Aspiration cytology of invasive micropapillary carcinoma of the breast: A case report.. The Journal of the Japanese Society of Clinical Cytology. 41(1). 10–13. 4 indexed citations
16.
Nishimura, Rieko, et al.. (2001). Primary Pancreatic Lymphoma: Clinicopathological Analysis of 19 Cases from Japan and Review of the Literature. Oncology. 60(4). 322–329. 48 indexed citations
17.
Nishimura, Rieko, et al.. (2000). Cytologic characteristics of well and poorly differentiated thyroid papillary carcinoma.. The Journal of the Japanese Society of Clinical Cytology. 39(5). 292–297. 2 indexed citations
18.
Nishimura, Rieko, et al.. (1999). Metaplastic carcinoma of the breast mainly composed of chondrosarcomatous component.. The Journal of the Japanese Society of Clinical Cytology. 38(5). 449–454. 1 indexed citations
19.
Nishimura, Rieko, Tomoyuki Yokose, & Kiyoshi Mukai. (1997). S‐100 protein is a differentiation marker in thyroid carcinoma of follicular cell origin: An immunohistochemical study. Pathology International. 47(10). 673–679. 13 indexed citations
20.
Senzaki, Hideto, et al.. (1992). A Mixture of Paraphenylenediamine and Imidazole: Its Effect on the Extraction of Lipid Droplets during Electron Microscopy Staining. Biotechnic & Histochemistry. 67(4). 219–223. 5 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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