Tomoko Kawamata

3.1k citations
19 papers · 2.4k indexed · 1 hit paper · h-index 16
Topics
Autophagy in Disease and Therapy (10 papers)MicroRNA in disease regulation (7 papers)Endoplasmic Reticulum Stress and Disease (6 papers)
Partner nations
JapanUnited StatesFrance

In The Last Decade

Tomoko Kawamata

19 papers receiving 2.4k citations

Hit Papers

Tor Directly Controls the Atg1 Kinase Complex To Regulate...20092026201420202009100200300

Peers

Tomoko Kawamata
Comparison fields: 5 of 95
  • Molecular Biology 1.8k
  • Epidemiology 841
  • Cancer Research 786
  • Cell Biology 421
  • Plant Science 266
Replace Péter Lőrincz with:
Péter Lőrincz Hungary
Young Sik Lee South Korea
Gabriele Zaffagnini Austria
Coralia Luna United States
Shusaku Shibutani Japan
Alf Håkon Lystad Norway
Zekun Guo China
Brian Magnuson United States
Zvulun Elazar Israel
Ken-ichi Noma United States
Tomoko Kawamata relative to Péter Lőrincz Hungary Péter Lőrincz's profile →
Citations per field
00.5×7.2×
Péter Lőrincz · 1×
Citations per year

Countries citing papers authored by Tomoko Kawamata

Since Specialization
Citations

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

Fields of papers citing papers by Tomoko Kawamata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoko Kawamata

This figure shows the co-authorship network connecting the top 25 collaborators of Tomoko Kawamata. A scholar is included among the top collaborators of Tomoko Kawamata 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 Tomoko Kawamata. Tomoko Kawamata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 11
2 6
3 39
4 53
5 27
6 99
7 136
8 46
9 14
10 398
11 121
12 287
13 155
14 209
15
Tor Directly Controls the Atg1 Kinase Complex To Regulate Autophagybreakdown →
383
16 54
17 211
18 75
19 79

About Tomoko Kawamata

Tomoko Kawamata is a scholar working on Cell Biology, Cancer Research and Epidemiology, having authored 19 papers that have together received 2.4k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (10 papers), MicroRNA in disease regulation (7 papers) and Endoplasmic Reticulum Stress and Disease (6 papers). The work is most often cited by research in Cancer Research (786 citations), Aging (58 citations) and Molecular Biology (1.8k citations). Tomoko Kawamata has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Yukihide Tomari, Yoshinori Ohsumi, Yoshiaki Kamada, Shintaro Iwasaki, Hervé Seitz, Takayuki Sekito, Yukiko Kabeya, Chika Kondo, Kazuyoshi Yonezawa and Mayuko Yoda. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Cell Biology.

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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