Tomoko Kubori

4.8k total citations · 1 hit paper
52 papers, 3.7k citations indexed

About

Tomoko Kubori is a scholar working on Endocrinology, Molecular Biology and Epidemiology. According to data from OpenAlex, Tomoko Kubori has authored 52 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Endocrinology, 24 papers in Molecular Biology and 12 papers in Epidemiology. Recurrent topics in Tomoko Kubori's work include Legionella and Acanthamoeba research (30 papers), Vibrio bacteria research studies (16 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (11 papers). Tomoko Kubori is often cited by papers focused on Legionella and Acanthamoeba research (30 papers), Vibrio bacteria research studies (16 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (11 papers). Tomoko Kubori collaborates with scholars based in Japan, United States and South Korea. Tomoko Kubori's co-authors include Jorge E. Galán, Hiroki Nagai, Shin‐Ichi Aizawa, Anand Sukhan, María Lara‐Tejero, Nobuo Shimamoto, Dai NAKAMURA, Dennis R. Thomas, Vinzenz M. Unger and Thomas C. Marlovits and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Tomoko Kubori

50 papers receiving 3.6k citations

Hit Papers

Supramolecular Structure of the Salmonella typhimurium Ty... 1998 2026 2007 2016 1998 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tomoko Kubori Japan 30 2.0k 1.5k 1.4k 741 545 52 3.7k
Marek Basler Switzerland 32 3.0k 1.5× 1.2k 0.8× 1.9k 1.3× 718 1.0× 265 0.5× 56 4.7k
Christoph J. Hueck Germany 13 1.2k 0.6× 1.2k 0.8× 1.1k 0.8× 492 0.7× 757 1.4× 15 3.1k
Gregory V. Plano United States 36 1.4k 0.7× 2.1k 1.4× 1.2k 0.9× 234 0.3× 243 0.4× 73 3.4k
Bruce A. Braaten United States 27 1.3k 0.6× 1.4k 0.9× 1.6k 1.1× 478 0.6× 260 0.5× 37 2.9k
Javier Pizarro‐Cerdá France 39 1.3k 0.7× 787 0.5× 1.8k 1.3× 440 0.6× 1.1k 1.9× 91 4.9k
Christopher S. Hayes United States 39 1.9k 0.9× 1.9k 1.3× 2.4k 1.7× 794 1.1× 222 0.4× 86 4.2k
William D. Picking United States 32 2.0k 1.0× 1.1k 0.8× 790 0.6× 495 0.7× 391 0.7× 111 3.1k
Daoguo Zhou United States 29 1.2k 0.6× 600 0.4× 1.1k 0.8× 457 0.6× 1.2k 2.2× 50 3.0k
Laure Journet France 32 1.9k 0.9× 1.4k 1.0× 1.3k 0.9× 472 0.6× 264 0.5× 46 3.2k
Wanyin Deng Canada 40 3.0k 1.5× 1.6k 1.1× 1.7k 1.2× 520 0.7× 889 1.6× 72 5.0k

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
1.
Tanaka, Shino, et al.. (2025). Subversion of the host endocytic pathway by Legionella pneumophila–mediated ubiquitination of Rab5. The Journal of Cell Biology. 224(4).
2.
Kubori, Tomoko, et al.. (2024). Multi-tiered actions of Legionella effectors to modulate host Rab10 dynamics. eLife. 12. 1 indexed citations
3.
Kubori, Tomoko, et al.. (2023). Multi-tiered actions of Legionella effectors to modulate host Rab10 dynamics. eLife. 12. 1 indexed citations
4.
Pruneda, Jonathan N., et al.. (2023). Bacterial usurpation of the OTU deubiquitinase fold. FEBS Journal. 291(15). 3303–3316. 2 indexed citations
5.
Kubori, Tomoko, Hyunmin Kim, Kohei Yamazaki, et al.. (2022). Reversible modification of mitochondrial ADP/ATP translocases by paired Legionella effector proteins. Proceedings of the National Academy of Sciences. 119(23). e2122872119–e2122872119. 15 indexed citations
6.
Kitao, Tomoe, et al.. (2022). Mechanism of Lys6 poly-ubiquitin specificity by the L. pneumophila deubiquitinase LotA. Molecular Cell. 83(1). 105–120.e5. 13 indexed citations
7.
Kitao, Tomoe, Hiroki Nagai, & Tomoko Kubori. (2020). Divergence of Legionella Effectors Reversing Conventional and Unconventional Ubiquitination. Frontiers in Cellular and Infection Microbiology. 10. 448–448. 28 indexed citations
8.
Kim, Hyunmin, Tomoko Kubori, Kohei Yamazaki, et al.. (2020). Structural basis for effector protein recognition by the Dot/Icm Type IVB coupling protein complex. Nature Communications. 11(1). 2623–2623. 29 indexed citations
9.
Kitao, Tomoe, Shintaro Seto, Kohei Arasaki, et al.. (2020). Legionella Manipulates Non-canonical SNARE Pairing Using a Bacterial Deubiquitinase. Cell Reports. 32(10). 108107–108107. 20 indexed citations
10.
Hubber, Andree, Tomoko Kubori, Cevayir Coban, et al.. (2017). Bacterial secretion system skews the fate of Legionella-containing vacuoles towards LC3-associated phagocytosis. Scientific Reports. 7(1). 44795–44795. 33 indexed citations
11.
Kubori, Tomoko, Andree Hubber, & Hiroki Nagai. (2014). Hijacking the Host Proteasome for the Temporal Degradation of Bacterial Effectors. Methods in molecular biology. 1197. 141–152. 5 indexed citations
12.
Hubber, Andree, Tomoko Kubori, & Hiroki Nagai. (2013). Modulation of the Ubiquitination Machinery by Legionella. Current topics in microbiology and immunology. 376. 227–247. 30 indexed citations
13.
Kubori, Tomoko & Hiroki Nagai. (2011). Bacterial Effector-Involved Temporal and Spatial Regulation by Hijack of the Host Ubiquitin Pathway. Frontiers in Microbiology. 2. 145–145. 17 indexed citations
14.
Marlovits, Thomas C., Tomoko Kubori, María Lara‐Tejero, et al.. (2006). Assembly of the inner rod determines needle length in the type III secretion injectisome. Nature. 441(7093). 637–640. 168 indexed citations
15.
Marlovits, Thomas C., Tomoko Kubori, Anand Sukhan, et al.. (2004). Structural Insights into the Assembly of the Type III Secretion Needle Complex. Science. 306(5698). 1040–1042. 303 indexed citations
16.
Kubori, Tomoko, Dai NAKAMURA, María Lara‐Tejero, et al.. (1998). Supramolecular Structure of the Salmonella typhimurium Type III Protein Secretion System. Science. 280(5363). 602–605. 695 indexed citations breakdown →
17.
Aizawa, Shin‐Ichi & Tomoko Kubori. (1998). Bacterial flagellation and cell division. Genes to Cells. 3(10). 625–634. 53 indexed citations
18.
Kubori, Tomoko, Shigeru Yamaguchi, & Shin‐Ichi Aizawa. (1997). Assembly of the switch complex onto the MS ring complex of Salmonella typhimurium does not require any other flagellar proteins. Journal of Bacteriology. 179(3). 813–817. 69 indexed citations
19.
20.
Kubori, Tomoko & Nobuo Shimamoto. (1996). A Branched Pathway in the Early Stage of Transcription by RNA Polymerase. Journal of Molecular Biology. 256(3). 449–457. 83 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026