Masamichi Goto

4.5k citations
114 papers · 3.5k indexed · h-index 35
Topics
Glycosylation and Glycoproteins Research (32 papers)Leprosy Research and Treatment (17 papers)Mycobacterium research and diagnosis (16 papers)

In The Last Decade

Masamichi Goto

108 papers receiving 3.5k citations

Peers

Masamichi Goto
Comparison fields: 5 of 117
  • Molecular Biology 1.6k
  • Oncology 1.2k
  • Surgery 1.1k
  • Immunology 626
  • Epidemiology 477
Replace Barbara Valentinis with:
Barbara Valentinis United States
Zenya Naito Japan
Akiteru Goto Japan
George Elia United Kingdom
Christoffer Gebhardt Germany
Ronald Herbst United States
Muhsen Al-Dhalimy United States
Ingrid Laurendeau France
Misako Sato Japan
Ilse M. C. Vogels Netherlands
Masamichi Goto relative to Barbara Valentinis United States Barbara Valentinis's profile →
Citations per field
00.5×1.5×2.3×
Barbara Valentinis · 1×
Citations per year

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
#WorkIndexed citations
1 9
2 4
3 22
4 1
5 134
6 91
7
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.
1
8 6
9 47
10 56
11 34
12 151
13 4
14 5
15 44
16 4
17 19
18 90
19 8
20 2

About Masamichi Goto

Masamichi Goto is a scholar working on Small Animals, Infectious Diseases and Immunology, having authored 114 papers that have together received 3.5k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (32 papers), Leprosy Research and Treatment (17 papers) and Mycobacterium research and diagnosis (16 papers). The work is most often cited by research in Clinical Biochemistry (324 citations), Oncology (1.2k citations) and Immunology (626 citations). Masamichi Goto has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Suguru Yonezawa, Michiyo Higashi, Mitsuharu Nomoto, Norishige Yamada, Shinichi Kitajima, Surinder K. Batra, Hideaki Tsutsumida, Kohzoh Imai, Michiko Horinouchi and Shugo Tamada. Their work appears in journals such as PLoS ONE, Hepatology and Cancer Research.

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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