Masamichi Goto

4.5k total citations
114 papers, 3.5k citations indexed

About

Masamichi Goto is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Masamichi Goto has authored 114 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 35 papers in Surgery and 23 papers in Epidemiology. Recurrent topics in Masamichi Goto's work include Glycosylation and Glycoproteins Research (32 papers), Leprosy Research and Treatment (17 papers) and Mycobacterium research and diagnosis (16 papers). Masamichi Goto is often cited by papers focused on Glycosylation and Glycoproteins Research (32 papers), Leprosy Research and Treatment (17 papers) and Mycobacterium research and diagnosis (16 papers). Masamichi Goto collaborates with scholars based in Japan, United States and United Kingdom. Masamichi Goto's co-authors include Suguru Yonezawa, Michiyo Higashi, Mitsuharu Nomoto, Norishige Yamada, Shinichi Kitajima, Hideaki Tsutsumida, Surinder K. Batra, Kohzoh Imai, Michiko Horinouchi and Shugo Tamada and has published in prestigious journals such as PLoS ONE, Hepatology and Cancer Research.

In The Last Decade

Masamichi Goto

108 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masamichi Goto Japan 35 1.6k 1.2k 1.1k 626 477 114 3.5k
Barbara Valentinis United States 31 2.8k 1.8× 1.0k 0.8× 461 0.4× 948 1.5× 219 0.5× 54 5.0k
Akiteru Goto Japan 35 1.9k 1.2× 973 0.8× 568 0.5× 400 0.6× 329 0.7× 134 3.7k
George Elia United Kingdom 30 1.6k 1.0× 1.2k 1.0× 1.3k 1.2× 477 0.8× 204 0.4× 42 3.8k
Zenya Naito Japan 39 1.9k 1.2× 1.2k 1.0× 962 0.9× 353 0.6× 437 0.9× 248 4.5k
Jean‐Michel Caillaud France 26 896 0.6× 458 0.4× 630 0.6× 363 0.6× 162 0.3× 53 2.7k
Muhsen Al-Dhalimy United States 23 2.7k 1.7× 512 0.4× 3.0k 2.9× 221 0.4× 624 1.3× 28 6.2k
Beverly Torok‐Storb United States 37 1.6k 1.0× 987 0.8× 520 0.5× 1.1k 1.8× 458 1.0× 83 4.7k
Yasushi Daikuhara Japan 34 1.8k 1.1× 630 0.5× 2.3k 2.2× 322 0.5× 1.3k 2.8× 79 5.2k
Ingrid Laurendeau France 38 2.1k 1.3× 619 0.5× 466 0.4× 388 0.6× 833 1.7× 63 4.2k
Ronald Herbst United States 39 2.4k 1.5× 2.0k 1.7× 288 0.3× 2.8k 4.4× 375 0.8× 130 6.5k

Countries citing papers authored by Masamichi Goto

Since Specialization
Citations

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

Fields of papers citing papers by Masamichi Goto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masamichi Goto

This figure shows the co-authorship network connecting the top 25 collaborators of Masamichi Goto. A scholar is included among the top collaborators of Masamichi Goto 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 Masamichi Goto. Masamichi Goto 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.
Miyamoto, Yuji, Yumi Maeda, Masamichi Goto, et al.. (2023). PGL-III, a Rare Intermediate of Mycobacterium leprae Phenolic Glycolipid Biosynthesis, Is a Potent Mincle Ligand. ACS Central Science. 9(7). 1388–1399. 7 indexed citations
2.
Goto, Masamichi, et al.. (2022). Respiratory epithelial adenomatoid hamartomas of the sinonasal tract: A histopathological analysis of 50 patients. Pathology International. 72(11). 541–549. 5 indexed citations
3.
Fukano, Hanako, Kazue Nakanaga, Masamichi Goto, et al.. (2022). Therapeutic efficacy of rifalazil (KRM-1648) in a M. ulcerans-induced Buruli ulcer mouse model. PLoS ONE. 17(10). e0274742–e0274742. 1 indexed citations
4.
Kitajima, Shinichi, et al.. (2014). Review of WHO Expert Committee on Leprosy 8<sup>th</sup> report,. PubMed. 83(1). 14–19. 2 indexed citations
5.
Higashi, Michiyo, Masamichi Goto, Takeshi Shimizu, et al.. (2009). Immunohistochemical study of mucin expression in periampullary adenomyoma. Journal of Hepato-Biliary-Pancreatic Sciences. 17(3). 275–283. 14 indexed citations
6.
Nagata, Kohji, Michiko Horinouchi, Michiyo Higashi, et al.. (2007). Mucin expression profile in pancreatic cancer and the precursor lesions. Journal of Hepato-Biliary-Pancreatic Surgery. 14(3). 243–254. 134 indexed citations
7.
Tsutsumida, Hideaki, Norishige Yamada, Shinichi Kitajima, et al.. (2006). Micropapillary pattern (MPP) is an excellent predictor of a poor prognosis in lung adenocarcinoma, and even stronger evidence is loss of SP-A expression in MPP.. Cancer Research. 66. 1233–1233. 1 indexed citations
8.
Tsutsumida, Hideaki, Masamichi Goto, Shinichi Kitajima, et al.. (2006). MUC4 expression correlates with poor prognosis in small-sized lung adenocarcinoma. Lung Cancer. 55(2). 195–203. 60 indexed citations
9.
Goto, Masamichi, et al.. (2006). Guideline for the treatment of Hansen's disease in Japan (Second edition). PubMed. 75(3). 191–226. 6 indexed citations
10.
Goto, Masamichi, Hiroaki Shibahara, Shugo Tamada, et al.. (2005). Aberrant expression of pyloric gland‐type mucin in mucin‐producing bile duct carcinomas: A clear difference between the core peptide and the carbohydrate moiety. Pathology International. 55(8). 464–470. 6 indexed citations
11.
Shibahara, Hiroaki, Shugo Tamada, Masamichi Goto, et al.. (2004). Pathologic Features of Mucin-producing Bile Duct Tumors. The American Journal of Surgical Pathology. 28(3). 327–338. 134 indexed citations
12.
Matsuoka, Masanori, Yoshiko Kashiwabara, Liangfen Zhang, Masamichi Goto, & Shinichi Kitajima. (2003). A Second Case of Multidrug-resistant Mycobacterium leprae Isolated from a Japanese Patient with Relapsed Lepromatous Leprosy. PubMed. 71(3). 240–240. 34 indexed citations
13.
14.
Tamada, Shugo, Masamichi Goto, Mitsuharu Nomoto, et al.. (2002). Expression of MUC1 and MUC2 mucins in extrahepatic bile duct carcinomas: Its relationship with tumor progression and prognosis. Pathology International. 52(11). 713–723. 67 indexed citations
15.
Li, Aihua, Suguru Yonezawa, Sumika Matsukita, et al.. (2001). Comparative study for histology, proliferative activity, glycoproteins, and p53 protein between old and recent colorectal adenomas in Japan. Cancer Letters. 170(1). 45–52. 5 indexed citations
16.
Goto, Masamichi, et al.. (2000). Guideline for the treatment of Hansen's disease in Japan.. PubMed. 69(3). 157–177. 1 indexed citations
17.
Hirano, Hirofumi, M. Beatriz S. Lopes, Edward R. Laws, et al.. (1999). Insulin-like growth factor-1 content and pattern of expression correlateswith histopathologic grade in diffusely infiltrating astrocytomas. Neuro-Oncology. 1(2). 109–119. 64 indexed citations
18.
Goto, Masamichi, Masahiro Okamoto, Minoru Sasano, et al.. (1990). Adherent synovial cells from nonrheumatoid arthritis do not release interleukin 1 beta and prostaglandin E2 spontaneously in longterm culture.. PubMed. 17(10). 1299–302. 9 indexed citations
19.
Hasui, Kazuhisa, et al.. (1989). An electronmicroscopic cytomorphometric analysis of 55 cases of T-cell lymphomas.. 29(4). 367–381. 2 indexed citations
20.
Morishita, Yasuo, et al.. (1985). Function of the transplanted canine heart after prolonged preservation by simple immersion. Heart and Vessels. 1(4). 220–224. 3 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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