Mako Nakaya

2.6k citations
20 papers · 2.1k indexed · 1 hit paper · h-index 17
Topics
Immune Cell Function and Interaction (8 papers)Cytokine Signaling Pathways and Interactions (6 papers)interferon and immune responses (4 papers)
Partner nations
JapanUnited StatesItaly

In The Last Decade

Mako Nakaya

20 papers receiving 2.0k citations

Hit Papers

Inflammatory T Cell Responses Rely on Amino Acid Transpor...20142026201820222014200400600

Peers

Mako Nakaya
Comparison fields: 5 of 95
  • Immunology 1.2k
  • Molecular Biology 708
  • Oncology 437
  • Cancer Research 363
  • Epidemiology 176
Replace Marzenna Blonska with:
Marzenna Blonska United States
Rudolf A. Rupec Germany
Toshifumi Tetsuka Japan
Ryuta Muromoto Japan
Kazuko Saeki Japan
Uwe Senftleben Germany
Chang-Hoon Woo South Korea
Faliang Zhu China
Arndt Schottelius Germany
Shotaro Nakajima Japan
Mako Nakaya relative to Marzenna Blonska United States Marzenna Blonska's profile →
Citations per field
00.5×1.5×
Marzenna Blonska · 1×
Citations per year

Countries citing papers authored by Mako Nakaya

Since Specialization
Citations

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

Fields of papers citing papers by Mako Nakaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mako Nakaya

This figure shows the co-authorship network connecting the top 25 collaborators of Mako Nakaya. A scholar is included among the top collaborators of Mako Nakaya 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 Mako Nakaya. Mako Nakaya 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 89
2 63
3 198
4
Inflammatory T Cell Responses Rely on Amino Acid Transporter ASCT2 Facilitation of Glutamine Uptake and mTORC1 Kinase Activationbreakdown →
652
5 44
6 58
7 37
8 53
9 119
10 2
11 108
12 364
13 46
14 17
15 82
16 64
17 24
18 16
19 5
20 21

About Mako Nakaya

Mako Nakaya is a scholar working on Immunology, Physiology and Cancer Research, having authored 20 papers that have together received 2.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), Cytokine Signaling Pathways and Interactions (6 papers) and interferon and immune responses (4 papers). The work is most often cited by research in Immunology (1.2k citations), Cancer Research (363 citations) and Biological Psychiatry (42 citations). Mako Nakaya has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Shao‐Cong Sun, Xiaofei Zhou, Yichuan Xiao, Xuhong Cheng, Mikyoung Chang, Jae‐Hoon Chang, Xin Lin, Marzenna Blonska, Giichi Takaesu and Takashi Kobayashi. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

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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