Masayuki Noguchi

2.0k citations
39 papers · 1.6k indexed · h-index 21
  • Immunology top 10%
    • Galectins and Cancer Biology 6
    • Immune Cell Function and Interaction 4
    • PI3K/AKT/mTOR signaling in cancer 5
    • Ubiquitin and proteasome pathways 5
  • Physiology top 5%
    • Salivary Gland Disorders and Functions 7
    • Calcium signaling and nucleotide metabolism 4
  • Epidemiology top 10%
    • Autophagy in Disease and Therapy 7
    • Cellular transport and secretion 4

Masayuki Noguchi

37 papers receiving 1.5k citations

Peers

Masayuki Noguchi
Comparison fields: 5 of 95
  • Immunology 393
  • Cancer Research 219
  • Molecular Biology 858
  • Physiology 56
  • Epidemiology 308
Replace Ralph K. Lindemann with:
Ralph K. Lindemann Germany
Futoshi Suizu Japan
Gabriela Brumatti Australia
Keishi Fujiwara Japan
Xianling Guo China
Zhiyong Ding China
Mohamed Amessou France
Katja Pokrovskaja Tamm Sweden
Bryan C. Barnhart United States
Ulrik Lademann Denmark
Masayuki Noguchi relative to Ralph K. Lindemann Germany Ralph K. Lindemann's profile →
Citations per field
00.5×1.5×2.0×
Ralph K. Lindemann · 1×
Citations per year

Countries citing papers authored by Masayuki Noguchi

Since Specialization
Citations

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

Fields of papers citing papers by Masayuki Noguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Masayuki Noguchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Masayuki Noguchi Line = papers co-authored together Masayuki Noguchi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20247
3 202318
4 20235
5 20232
6 202211
7 202126
8 2020147
9 201821
10 201643
11 201482
12 2014111
13 201468
14 201312
15 201022
16 200912
17 200613
18 200443
19 200443
20 20019

About Masayuki Noguchi

Masayuki Noguchi is a scholar working on Physiology, Immunology and Cell Biology, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (7 papers), Salivary Gland Disorders and Functions (7 papers), Galectins and Cancer Biology (6 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Ubiquitin and proteasome pathways (5 papers), Cellular transport and secretion (4 papers), Immune Cell Function and Interaction (4 papers) and Calcium signaling and nucleotide metabolism (4 papers). The work is most often cited by research in Immunology (393 citations), Cancer Research (219 citations) and Molecular Biology (858 citations). Masayuki Noguchi has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Futoshi Suizu, Noriyuki Hirata, Hiroshi Nakajima, Tsutomu Tanaka, Christian Roumestand, T. Noguchi, John A. Chiorini, Warren J. Leonard, Elizabeth W. Shores and Daniel Auguin. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and The EMBO Journal.

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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