Akito Matsukuma

1.5k total citations
33 papers, 1.2k citations indexed

About

Akito Matsukuma is a scholar working on Surgery, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Akito Matsukuma has authored 33 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 12 papers in Oncology and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Akito Matsukuma's work include Gastric Cancer Management and Outcomes (10 papers), Metastasis and carcinoma case studies (6 papers) and Breast Cancer Treatment Studies (6 papers). Akito Matsukuma is often cited by papers focused on Gastric Cancer Management and Outcomes (10 papers), Metastasis and carcinoma case studies (6 papers) and Breast Cancer Treatment Studies (6 papers). Akito Matsukuma collaborates with scholars based in Japan, United States and United Kingdom. Akito Matsukuma's co-authors include Takahiro Ezaki, Tadahiro Nozoe, Takashi Maeda, Tomohiro Iguchi, Yosuke Adachi, Hideaki Nakashima, Mizuki Ninomiya, Emiko Mori, Yoichi Yakeishi and Takashi Yao and has published in prestigious journals such as Cancer, British Journal of Cancer and The American Journal of Surgery.

In The Last Decade

Akito Matsukuma

32 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akito Matsukuma Japan 14 576 543 463 191 158 33 1.2k
A Hill United Kingdom 18 681 1.2× 539 1.0× 632 1.4× 84 0.4× 172 1.1× 32 1.4k
Kengo Fukuzawa Japan 20 438 0.8× 286 0.5× 536 1.2× 127 0.7× 252 1.6× 66 1.1k
Ilaria Panzini Italy 17 286 0.5× 299 0.6× 317 0.7× 146 0.8× 169 1.1× 35 1.0k
Calogero Cipolla Italy 18 242 0.4× 209 0.4× 526 1.1× 199 1.0× 77 0.5× 90 1.0k
Joung‐Ho Han South Korea 21 434 0.8× 682 1.3× 706 1.5× 137 0.7× 147 0.9× 122 1.3k
Shoichi Fujii Japan 25 1.1k 2.0× 755 1.4× 1.1k 2.3× 92 0.5× 47 0.3× 101 1.8k
Paolo Aurello Italy 22 644 1.1× 642 1.2× 751 1.6× 101 0.5× 149 0.9× 102 1.3k
Riccardo Valli Italy 18 301 0.5× 304 0.6× 297 0.6× 34 0.2× 223 1.4× 66 974
J.M. Gornet France 11 359 0.6× 182 0.3× 284 0.6× 38 0.2× 140 0.9× 24 801
M Latteri Italy 20 318 0.6× 164 0.3× 432 0.9× 230 1.2× 120 0.8× 76 1.0k

Countries citing papers authored by Akito Matsukuma

Since Specialization
Citations

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

Fields of papers citing papers by Akito Matsukuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akito Matsukuma

This figure shows the co-authorship network connecting the top 25 collaborators of Akito Matsukuma. A scholar is included among the top collaborators of Akito Matsukuma 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 Akito Matsukuma. Akito Matsukuma 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.
Yoshida, Daisuke, Kazuhito Minami, Masahiko Sugiyama, et al.. (2019). Prognostic Impact of the Neutrophil-to-Lymphocyte Ratio in Stage I-II Rectal Cancer Patients. Journal of Surgical Research. 245. 281–287. 21 indexed citations
2.
Nozoe, Tadahiro, Emiko Mori, Tomohiro Iguchi, et al.. (2012). Pedunculated hamartomatous polyp of the appendix: report of a case. Surgery Today. 43(2). 191–193. 4 indexed citations
3.
Nozoe, Tadahiro, Tomohiro Iguchi, Emiko Mori, et al.. (2012). Analysis of the impact of the body mass index in patients with gastric carcinoma. Surgery Today. 42(10). 945–949. 14 indexed citations
4.
Nozoe, Tadahiro, Katsuo Sueishi, Emiko Mori, et al.. (2011). Primary neuroendocrine carcinoma of the breast: Report of a case. Surgery Today. 41(6). 829–831. 10 indexed citations
5.
Nozoe, Tadahiro, Tomohiro Iguchi, Eisuke Adachi, Akito Matsukuma, & Takahiro Ezaki. (2011). Preoperative elevation of serum C-reactive protein as an independent prognostic indicator for gastric cancer. Surgery Today. 41(4). 510–513. 44 indexed citations
6.
Nozoe, Tadahiro, Tomohiro Iguchi, Emiko Mori, et al.. (2011). The prognostic nutritional index can be a prognostic indicator in colorectal carcinoma. Surgery Today. 42(6). 532–535. 185 indexed citations
7.
Nozoe, Tadahiro, Tomohiro Iguchi, Akinori Egashira, et al.. (2010). Significance of modified Glasgow prognostic score as a useful indicator for prognosis of patients with gastric carcinoma. The American Journal of Surgery. 201(2). 186–191. 85 indexed citations
8.
Nozoe, Tadahiro, Emiko Mori, Tomohiro Iguchi, et al.. (2010). Immunohistochemical expression of epidermal growth factor receptor in breast cancer. Breast Cancer. 18(1). 37–41. 7 indexed citations
9.
Nozoe, Tadahiro, Tomohiro Iguchi, Akinori Egashira, et al.. (2010). Pathological prognostic score as a simple criterion to predict outcome in gastric carcinoma. Journal of Surgical Oncology. 102(1). 73–76. 7 indexed citations
10.
Nozoe, Tadahiro, Mizuki Ninomiya, Takashi Maeda, et al.. (2010). Prognostic nutritional Index: A tool to predict the biological aggressiveness of gastric carcinoma. Surgery Today. 40(5). 440–443. 206 indexed citations
11.
Nozoe, Tadahiro, Emiko Mori, Tomohiro Iguchi, et al.. (2010). Serum appearance of anti-p53 antibody in triple negative breast cancer. Breast Cancer. 19(1). 11–15. 8 indexed citations
12.
Nozoe, Tadahiro, Emiko Mori, Mizuki Ninomiya, et al.. (2009). Squamous cell carcinoma of the breast. Breast Cancer. 19(2). 177–179. 14 indexed citations
13.
Matsukuma, Akito, M Furusawa, H Tomoda, & Yohan Seo. (1996). A clinicopathological study of asymptomatic gastric cancer. British Journal of Cancer. 74(10). 1647–1650. 56 indexed citations
14.
Kakeji, Y., Yoshihiko Maehara, Masaru Morita, et al.. (1995). Correlation between sialyl Tn antigen and lymphatic metastasis in patients with Borrmann type IV gastric carcinoma. British Journal of Cancer. 71(1). 191–195. 30 indexed citations
15.
Sasaki, Atsushi, Motonosuke Furusawa, Hirotsugu Tomoda, et al.. (1994). Evaluation of Multiple Cancer on Patients with Early Gastric Cancer.. The Japanese Journal of Gastroenterological Surgery. 27(7). 1747–1752. 2 indexed citations
16.
Mori, Masaki, et al.. (1994). S100 protein positive human breast carcinomas: An immunohistochemical study. Journal of Surgical Oncology. 55(2). 108–113. 8 indexed citations
17.
Adachi, Yosuke, T Matsushima, Eisuke Adachi, et al.. (1993). Phyllodes tumor in adolescents. Report of two cases and review of the literature. Breast Disease. 6(4). 285–293. 10 indexed citations
18.
Urabe, Atsumichi, et al.. (1990). Extramammary Paget's disease:. Journal of Cutaneous Pathology. 17(5). 257–265. 55 indexed citations
19.
Mori, Masaki, Akito Matsukuma, Yosuke Adachi, et al.. (1989). Small cell carcinoma of the esophagus. Cancer. 63(3). 564–573. 60 indexed citations
20.
Saku, Motonori, et al.. (1988). Unusual exogastric leiomyoblastoma.. PubMed. 79(8). 647–53. 1 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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