Seiji Kojima

7.3k total citations
169 papers, 4.2k citations indexed

About

Seiji Kojima is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Seiji Kojima has authored 169 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Molecular Biology, 55 papers in Genetics and 37 papers in Cellular and Molecular Neuroscience. Recurrent topics in Seiji Kojima's work include Bacterial Genetics and Biotechnology (49 papers), Lipid Membrane Structure and Behavior (41 papers) and Photoreceptor and optogenetics research (31 papers). Seiji Kojima is often cited by papers focused on Bacterial Genetics and Biotechnology (49 papers), Lipid Membrane Structure and Behavior (41 papers) and Photoreceptor and optogenetics research (31 papers). Seiji Kojima collaborates with scholars based in Japan, United States and Malaysia. Seiji Kojima's co-authors include Michio Homma, Hiroyuki Terashima, David F. Blair, Toshio Fukuda, Shiwei Zhu, Mohd Ridzuan Ahmad, Norihiro Takekawa, Katsumi Imada, Ikuro Kawagishi and Keiichi Namba and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and Blood.

In The Last Decade

Seiji Kojima

164 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seiji Kojima Japan 36 2.4k 1.5k 778 737 699 169 4.2k
Katsumi Imada Japan 41 2.8k 1.2× 1.9k 1.3× 501 0.6× 676 0.9× 365 0.5× 116 4.6k
Steven Johnson United Kingdom 41 2.0k 0.8× 1.3k 0.9× 148 0.2× 845 1.1× 83 0.1× 106 5.3k
Robert G. Endres United Kingdom 35 2.2k 0.9× 500 0.3× 248 0.3× 137 0.2× 226 0.3× 91 4.0k
Matthew D. Welch United States 43 3.8k 1.6× 764 0.5× 386 0.5× 551 0.7× 70 0.1× 88 8.5k
Marie‐France Carlier France 44 2.7k 1.1× 437 0.3× 382 0.5× 453 0.6× 186 0.3× 88 7.2k
Klemens Rottner Germany 56 4.3k 1.8× 593 0.4× 632 0.8× 419 0.6× 92 0.1× 151 10.2k
Theresia E. B. Stradal Germany 46 3.5k 1.5× 483 0.3× 514 0.7× 351 0.5× 57 0.1× 111 7.6k
Nicolas Biais United States 24 1.1k 0.5× 420 0.3× 137 0.2× 198 0.3× 118 0.2× 47 2.7k
Lee Makowski United States 40 3.4k 1.4× 306 0.2× 166 0.2× 164 0.2× 69 0.1× 141 5.2k
Roland Wedlich‐Söldner Germany 33 3.6k 1.5× 547 0.4× 523 0.7× 74 0.1× 101 0.1× 60 6.3k

Countries citing papers authored by Seiji Kojima

Since Specialization
Citations

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

Fields of papers citing papers by Seiji Kojima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seiji Kojima

This figure shows the co-authorship network connecting the top 25 collaborators of Seiji Kojima. A scholar is included among the top collaborators of Seiji Kojima 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 Seiji Kojima. Seiji Kojima 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.
Takekawa, Norihiro, Jun-ichi Kishikawa, Mika Hirose, et al.. (2024). Structural analysis of S-ring composed of FliFG fusion proteins in marine Vibrio polar flagellar motor. mBio. 15(10). e0126124–e0126124. 1 indexed citations
2.
Takekawa, Norihiro, Jun-ichi Kishikawa, Mika Hirose, et al.. (2024). Structural insight into sodium ion pathway in the bacterial flagellar stator from marine Vibrio. Proceedings of the National Academy of Sciences. 122(1). e2415713122–e2415713122. 2 indexed citations
3.
4.
Takahashi, Kanji, et al.. (2023). Ring formation by <i>Vibrio</i> fusion protein composed of FliF and FliG, MS-ring and C-ring component of bacterial flagellar motor in membrane. Biophysics and Physicobiology. 20(2). n/a–n/a. 3 indexed citations
5.
Terashima, Hiroyuki, et al.. (2022). Hoop-like role of the cytosolic interface helix in Vibrio PomA, an ion-conducting membrane protein, in the bacterial flagellar motor. The Journal of Biochemistry. 171(4). 443–450. 2 indexed citations
6.
Homma, Michio, et al.. (2022). Functional analysis of the N-terminal region of Vibrio FlhG, a MinD-type ATPase in flagellar number control. The Journal of Biochemistry. 172(2). 99–107. 3 indexed citations
7.
Homma, Michio, et al.. (2022). Formation of multiple flagella caused by a mutation of the flagellar rotor protein FliM in Vibrio alginolyticus. Genes to Cells. 27(9). 568–578. 4 indexed citations
8.
Homma, Michio, et al.. (2022). Function and Structure of FlaK, a Master Regulator of the Polar Flagellar Genes in Marine Vibrio. Journal of Bacteriology. 204(11). e0032022–e0032022. 4 indexed citations
9.
Terashima, Hiroyuki, Seiji Kojima, & Michio Homma. (2021). Site-Directed Cross-Linking Identifies the Stator-Rotor Interaction Surfaces in a Hybrid Bacterial Flagellar Motor. Journal of Bacteriology. 203(9). 22 indexed citations
10.
Kojima, Seiji, et al.. (2021). Role of the N- and C-Terminal Regions of FliF, the MS Ring Component in the Vibrio Flagellar Basal Body. Journal of Bacteriology. 203(9). 6 indexed citations
11.
Homma, Michio, et al.. (2021). Putative Spanner Function of the Vibrio PomB Plug Region in the Stator Rotation Model for Flagellar Motor. Journal of Bacteriology. 203(16). e0015921–e0015921. 12 indexed citations
12.
Homma, Michio, et al.. (2021). Achievements in bacterial flagellar research with focus on Vibrio species. Microbiology and Immunology. 66(2). 75–95. 13 indexed citations
13.
Carroll, Brittany L., Wangbiao Guo, Shiwei Zhu, et al.. (2020). The flagellar motor of Vibrio alginolyticus undergoes major structural remodeling during rotational switching. eLife. 9. 46 indexed citations
14.
Kojima, Seiji, Hiroyuki Terashima, & Michio Homma. (2020). Regulation of the Single Polar Flagellar Biogenesis. Biomolecules. 10(4). 533–533. 18 indexed citations
15.
Zhu, Shiwei, et al.. (2018). The Vibrio H-Ring Facilitates the Outer Membrane Penetration of the Polar Sheathed Flagellum. Journal of Bacteriology. 200(21). 23 indexed citations
16.
Inaba, Satoshi, et al.. (2017). Localization and domain characterization of the SflA regulator of flagellar formation in Vibrio alginolyticus. Genes to Cells. 22(7). 619–627. 17 indexed citations
17.
Ahmad, Mohd Ridzuan, Masahiro Nakajima, Toshio Fukuda, Seiji Kojima, & Michio Homma. (2009). Single cells electrical characterizations using nanoprobe via ESEM-nanomanipulator system. 589–592. 13 indexed citations
18.
Kojima, Masaru, et al.. (2009). Rotational speed control of Na + -driven flagellar motor by nano/micro dual pipettes. 522–525.
19.
Ahmad, Mohd Ridzuan, Masahiro Nakajima, Seiji Kojima, Michio Homma, & Toshio Fukuda. (2008). 2P1-C20 Local Stiffness Measurement of Single Cell using Nanoprobes through ESEM-Nanomanipulator System. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2008(0). _2P1–C20_1. 2 indexed citations
20.
Ishida, Kōji, Kazunori Fujisawa, Seiji Kojima, & Hideo Tanaka. (2007). Estimation method of slip surface by ground surface displacement. AGU Fall Meeting Abstracts. 2007.

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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