Atsushi Arakawa

3.6k total citations
179 papers, 2.7k citations indexed

About

Atsushi Arakawa is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Atsushi Arakawa has authored 179 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Oncology, 48 papers in Pulmonary and Respiratory Medicine and 46 papers in Surgery. Recurrent topics in Atsushi Arakawa's work include Ovarian cancer diagnosis and treatment (18 papers), Breast Cancer Treatment Studies (17 papers) and Breast Lesions and Carcinomas (16 papers). Atsushi Arakawa is often cited by papers focused on Ovarian cancer diagnosis and treatment (18 papers), Breast Cancer Treatment Studies (17 papers) and Breast Lesions and Carcinomas (16 papers). Atsushi Arakawa collaborates with scholars based in Japan, United States and United Kingdom. Atsushi Arakawa's co-authors include Mitsue Saito, Hiroshi Sonoue, Yoshiya Horimoto, Hiroshi Nishikawa, Kaoru Suzumori, Takashi Yao, Thomas M. Wheeler, Shigehiro Soh, Toshiharu Matsumoto and Tsuyoshi Saito and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Atsushi Arakawa

169 papers receiving 2.6k citations

Peers

Atsushi Arakawa
Yoo Duk Choi South Korea
Reda S. Saad United States
Joseph T. Rabban United States
Aziza Nassar United States
Yoo Duk Choi South Korea
Atsushi Arakawa
Citations per year, relative to Atsushi Arakawa Atsushi Arakawa (= 1×) peers Yoo Duk Choi

Countries citing papers authored by Atsushi Arakawa

Since Specialization
Citations

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

Fields of papers citing papers by Atsushi Arakawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atsushi Arakawa

This figure shows the co-authorship network connecting the top 25 collaborators of Atsushi Arakawa. A scholar is included among the top collaborators of Atsushi Arakawa 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 Atsushi Arakawa. Atsushi Arakawa 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.
Abe, E, Koichi Ichimura, Atsushi Arakawa, et al.. (2024). Implications of DNA Methylation Classification in Diagnosing Ependymoma. World Neurosurgery. 185. e1019–e1029.
2.
Nakajima, Hideaki, et al.. (2023). A rare case of a toddler with unilateral cryptorchidism‐related cranial suspensory ligament remnant. SHILAP Revista de lepidopterología. 11(5). e7310–e7310. 1 indexed citations
3.
Horimoto, Yoshiya, Kaori Denda‐Nagai, Haruhiko Fujihira, et al.. (2023). Possible correlation of apical localization of MUC1 glycoprotein with luminal A-like status of breast cancer. Scientific Reports. 13(1). 5281–5281. 5 indexed citations
4.
Takeda, Masahiro, Takanori Ochi, Hiroyuki Koga, et al.. (2023). Biopsy Diagnosis of Hirschsprung's Disease Using a Single Excisional Biopsy Based on the Anorectal Line. European Journal of Pediatric Surgery. 34(3). 274–281. 1 indexed citations
5.
Nishio, Shin, Koji Matsumoto, Kazuhiro Takehara, et al.. (2020). Pembrolizumab monotherapy in Japanese patients with advanced ovarian cancer: Subgroup analysis from the KEYNOTE‐100. Cancer Science. 111(4). 1324–1332. 31 indexed citations
6.
Horimoto, Yoshiya, et al.. (2020). High FOXA1 protein expression might predict late recurrence in patients with estrogen-positive and HER2-negative breast cancer. Breast Cancer Research and Treatment. 183(1). 41–48. 10 indexed citations
7.
Shinjo, Keiko, Keisuke Katsushima, Atsushi Arakawa, et al.. (2019). ZNF671 DNA methylation as a molecular predictor for the early recurrence of serous ovarian cancer. Cancer Science. 110(3). 1105–1116. 30 indexed citations
8.
Horimoto, Yoshiya, Masahiko Tanabe, Kaoru Mogushi, et al.. (2019). Estrogen Receptor-positive Ductal Carcinoma In Situ Frequently Overexpresses HER2 Protein Without Gene Amplification. The American Journal of Surgical Pathology. 43(9). 1221–1228. 6 indexed citations
9.
Takekuma, Munetaka, Mototsugu Shimokawa, Shin Nishio, et al.. (2018). Phase II study of adjuvant chemotherapy with paclitaxel and nedaplatin for uterine cervical cancer with lymph node metastasis. Cancer Science. 109(5). 1602–1608. 16 indexed citations
10.
Saito, Tsuyoshi, Yuki Fukumura, Kieko Hara, et al.. (2016). In Japanese patients with papillary thyroid carcinoma, TERT promoter mutation is associated with poor prognosis, in contrast to BRAF V600E mutation. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 469(6). 687–696. 41 indexed citations
11.
Arakawa, Atsushi, Hiroshi Tsubamoto, Kimihiko Ito, et al.. (2016). Validation of the distress and impact thermometer and the changes of mood during the first 6 months of treatment in gynecological cancer patients: a Kansai Clinical Oncology Group (KCOG)-G1103 prospective study. Archives of Gynecology and Obstetrics. 294(6). 1273–1281. 3 indexed citations
12.
Horimoto, Yoshiya, Atsushi Arakawa, Masahiko Tanabe, et al.. (2015). Menstrual cycle could affect Ki67 expression in estrogen receptor-positive breast cancer patients. Journal of Clinical Pathology. 68(10). 825–829. 10 indexed citations
13.
Fukumura, Yuki, Tsuyoshi Saito, Junkichi Yokoyama, et al.. (2015). Cytological Features of Mammary Analogue Secretory Carcinoma of the Parotid Gland in a 15-Year-Old Girl: A Case Report with Review of the Literature. SHILAP Revista de lepidopterología. 2015. 1–6. 22 indexed citations
14.
Hara, Kieko, Yuki Fukumura, Tsuyoshi Saito, et al.. (2015). A giant cord hemangioma with extramedullary hematopoiesis and elevated maternal serum human chorionic gonadotropin: a case report and review of the literature. Diagnostic Pathology. 10(1). 154–154. 9 indexed citations
15.
Horimoto, Yoshiya, Atsushi Arakawa, Masahiko Tanabe, et al.. (2014). Ki67 expression and the effect of neo-adjuvant chemotherapy on luminal HER2-negative breast cancer. BMC Cancer. 14(1). 550–550. 22 indexed citations
16.
Yokoi, Hidenori, Atsushi Arakawa, Ayako Inoshita, & Katsuhisa Ikeda. (2012). Novel use of a Weerda laryngoscope for transoral excision of a cervical ganglioneuroma: a case report. Journal of Medical Case Reports. 6(1). 88–88. 13 indexed citations
17.
Takahashi, Yuka, Miwako Iwai, Taketo Kawai, et al.. (2011). Aberrant expression of tumor suppressors CADM1 and 4.1B in invasive lesions of primary breast cancer. Breast Cancer. 19(3). 242–252. 69 indexed citations
18.
Abe, Keiko, Koichi Suda, Atsushi Arakawa, et al.. (2007). Different patterns of p16INK4A and p53 protein expressions in intraductal papillary-mucinous neoplasms and pancreatic intraepithelial neoplasia. Suizo. 22(4). 510–512. 1 indexed citations
19.
Suzumori, Nobuhiro, et al.. (2004). Use of serum secretory leukocyte protease inhibitor levels in patients to improve specificity of ovarian cancer diagnosis. Gynecologic Oncology. 96(2). 516–519. 54 indexed citations
20.
Murakumo, Yoshiki, et al.. (1993). Chromosomal Mapping of Genetic Locus Associated with Thymus‐size Enlargement in BUF/Mna Rats. Japanese Journal of Cancer Research. 84(8). 838–840. 9 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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