Tomoko Kubori

4.8k citations
52 papers · 3.7k indexed · 1 hit paper · h-index 30
Topics
Legionella and Acanthamoeba research (30 papers)Vibrio bacteria research studies (16 papers)Neutrophil, Myeloperoxidase and Oxidative Mechanisms (11 papers)

In The Last Decade

Tomoko Kubori

50 papers receiving 3.6k citations

Hit Papers

Supramolecular Structure of the Salmonella typhimurium Ty...19982026200720161998200400600

Peers

Tomoko Kubori
Comparison fields: 5 of 83
  • Endocrinology 2.0k
  • Genetics 1.5k
  • Molecular Biology 1.4k
  • Ecology 741
  • Food Science 545
Replace Joëlle Mounier with:
Joëlle Mounier France
Wanyin Deng Canada
Javier Pizarro‐Cerdá France
Daoguo Zhou United States
Edouard E. Galyov United Kingdom
William D. Picking United States
Wendy L. Picking United States
Anthony P. Pugsley France
Jacob Biboy United Kingdom
Ilan Rosenshine Israel
Tomoko Kubori relative to Joëlle Mounier France Joëlle Mounier's profile →
Citations per field
00.5×
Joëlle Mounier · 1×
Citations per year

Countries citing papers authored by Tomoko Kubori

Since Specialization
Citations

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

Fields of papers citing papers by Tomoko Kubori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoko Kubori

This figure shows the co-authorship network connecting the top 25 collaborators of Tomoko Kubori. A scholar is included among the top collaborators of Tomoko Kubori 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 Kubori. Tomoko Kubori 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 0
2 1
3 2
4 15
5 13
6 29
7 28
8 20
9 6
10 17
11 61
12 5
13 17
14 145
15 303
16
Supramolecular Structure of the Salmonella typhimurium Type III Protein Secretion Systembreakdown →
695
17 53
18 19
19 83
20 214

About Tomoko Kubori

Tomoko Kubori is a scholar working on Endocrinology, Parasitology and Immunology, having authored 52 papers that have together received 3.7k indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (30 papers), Vibrio bacteria research studies (16 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (11 papers). The work is most often cited by research in Endocrinology (2.0k citations), Molecular Medicine (287 citations) and Genetics (1.5k citations). Tomoko Kubori has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Jorge E. Galán, Hiroki Nagai, Shin‐Ichi Aizawa, Anand Sukhan, María Lara‐Tejero, Nobuo Shimamoto, Dai NAKAMURA, Thomas C. Marlovits, Vinzenz M. Unger and Dennis R. Thomas. Their work appears in journals such as Nature, Science and Cell.

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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