Teru Ogura

9.8k total citations · 2 hit papers
135 papers, 8.1k citations indexed

About

Teru Ogura is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Teru Ogura has authored 135 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Molecular Biology, 65 papers in Genetics and 31 papers in Cell Biology. Recurrent topics in Teru Ogura's work include Bacterial Genetics and Biotechnology (62 papers), RNA and protein synthesis mechanisms (35 papers) and Endoplasmic Reticulum Stress and Disease (24 papers). Teru Ogura is often cited by papers focused on Bacterial Genetics and Biotechnology (62 papers), RNA and protein synthesis mechanisms (35 papers) and Endoplasmic Reticulum Stress and Disease (24 papers). Teru Ogura collaborates with scholars based in Japan, United Kingdom and United States. Teru Ogura's co-authors include S Hiraga, Anthony J. Wilkinson, Hironori Niki, Kunitoshi Yamanaka, Sota Hiraga, A Jaffé, Hirotada Mori, Toshifumi Tomoyasu, K Yamanaka and Kiyonobu Karata and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Teru Ogura

134 papers receiving 8.0k citations

Hit Papers

AAA+ superfamily ATPases:... 1983 2026 1997 2011 2001 1983 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Teru Ogura Japan 44 6.1k 3.8k 1.6k 1.2k 872 135 8.1k
Ross Dalbey United States 52 6.2k 1.0× 3.7k 1.0× 1.3k 0.8× 515 0.4× 728 0.8× 119 7.5k
Koreaki Ito Japan 62 10.0k 1.6× 6.4k 1.7× 2.1k 1.3× 1.8k 1.5× 1.5k 1.7× 186 12.0k
Tohru Minamino Japan 55 5.0k 0.8× 5.0k 1.3× 2.0k 1.2× 946 0.8× 650 0.7× 186 8.4k
Hironori Niki Japan 43 5.3k 0.9× 4.0k 1.0× 1.9k 1.2× 345 0.3× 452 0.5× 121 6.7k
Sue Wickner United States 49 6.8k 1.1× 2.8k 0.7× 959 0.6× 1.2k 1.0× 1.5k 1.7× 101 7.9k
Stanley Tabor United States 30 7.9k 1.3× 3.7k 1.0× 2.1k 1.3× 434 0.4× 659 0.8× 63 10.1k
Michael R. Maurizi United States 52 8.3k 1.4× 3.4k 0.9× 789 0.5× 1.7k 1.5× 2.4k 2.8× 97 9.8k
Debra J. Rose United States 19 5.1k 0.8× 3.1k 0.8× 1.9k 1.2× 423 0.4× 429 0.5× 20 7.9k
Roger Woodgate United States 68 12.3k 2.0× 5.0k 1.3× 794 0.5× 531 0.5× 340 0.4× 187 13.6k
Kenneth J. Marians United States 64 10.1k 1.6× 5.4k 1.4× 1.0k 0.7× 560 0.5× 408 0.5× 150 10.8k

Countries citing papers authored by Teru Ogura

Since Specialization
Citations

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

Fields of papers citing papers by Teru Ogura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teru Ogura

This figure shows the co-authorship network connecting the top 25 collaborators of Teru Ogura. A scholar is included among the top collaborators of Teru Ogura 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 Teru Ogura. Teru Ogura 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
2.
Machida, Kodai, Kentaro Noi, Masaki Okumura, et al.. (2021). Distinct roles and actions of protein disulfide isomerase family enzymes in catalysis of nascent-chain disulfide bond formation. iScience. 24(4). 102296–102296. 10 indexed citations
3.
Kobashigawa, Yoshihiro, Chenjiang Liu, Takashi Sato, et al.. (2019). Cyclization of Single-Chain Fv Antibodies Markedly Suppressed Their Characteristic Aggregation Mediated by Inter-Chain VH-VL Interactions. Molecules. 24(14). 2620–2620. 25 indexed citations
4.
Esaki, Masatoshi, Md. Tanvir Islam, Naoki Tani, & Teru Ogura. (2017). Deviation of the typical AAA substrate-threading pore prevents fatal protein degradation in yeast Cdc48. Scientific Reports. 7(1). 5475–5475. 20 indexed citations
5.
Yamamoto, Daisuke, Takayuki Uchihashi, Noriyuki Kodera, et al.. (2010). High-Speed Atomic Force Microscopy Techniques for Observing Dynamic Biomolecular Processes. Methods in enzymology on CD-ROM/Methods in enzymology. 475. 541–564. 58 indexed citations
7.
Sasagawa, Yohei, et al.. (2010). Caenorhabditis elegans UBX cofactors for CDC‐48/p97 control spermatogenesis. Genes to Cells. 15(12). 1201–1215. 20 indexed citations
8.
9.
Higashitani, Nahoko, et al.. (2008). Involvement of HMG-12 and CAR-1 in the cdc-48.1 expression of Caenorhabditis elegans. Developmental Biology. 318(2). 348–359. 5 indexed citations
10.
Krzywda, Szymon, A.M. Brzozowski, Kiyonobu Karata, Teru Ogura, & Anthony J. Wilkinson. (2002). Crystallization of the AAA domain of the ATP-dependent protease FtsH ofEscherichia coli. Acta Crystallographica Section D Biological Crystallography. 58(6). 1066–1067. 7 indexed citations
11.
Teff, Dinah, Simi Koby, Yoram Shotland, Teru Ogura, & Amos B. Oppenheim. (2000). A colicin-tolerantEscherichia colimutant that confers Hfl phenotype carries two mutations in the region coding for the C-terminal domain of FtsH (HflB). FEMS Microbiology Letters. 183(1). 115–117. 6 indexed citations
12.
Tatsuta, Takashi, et al.. (2000). Evidence for an active role of the DnaK chaperone system in the degradation of σ32. FEBS Letters. 478(3). 271–275. 28 indexed citations
13.
Makino, Shin‐ichi, Junko Hashimoto, Takashi Tatsuta, et al.. (1999). Second transmembrane segment of FtsH plays a role in its proteolytic activity and homo‐oligomerization. FEBS Letters. 460(3). 554–558. 13 indexed citations
14.
Akiyama, Yoshinori, Akio Kihara, Hiroyuki Mori, Teru Ogura, & Koreaki Ito. (1998). Roles of the Periplasmic Domain of Escherichia coliFtsH (HflB) in Protein Interactions and Activity Modulation. Journal of Biological Chemistry. 273(35). 22326–22333. 40 indexed citations
15.
Makino, Sou‐ichi, et al.. (1997). A silent mutation in the ftsH gene of Escherichia coli that affects FtsH protein production and colicin tolerance. Molecular and General Genetics MGG. 254(5). 578–583. 8 indexed citations
16.
Yamanaka, Kazuya, Teru Ogura, Hironori Niki, & Sota Hiraga. (1996). Identification of two new genes,. Molecular and General Genetics MGG. 250(3). 241–241. 17 indexed citations
17.
Yamanaka, Kunitoshi, et al.. (1994). Two mutant alleles ofmukB, a gene essential for chromosome partition inEscherichia coli. FEMS Microbiology Letters. 123(1-2). 27–31. 20 indexed citations
18.
Ogura, Teru, et al.. (1994). Cloning, sequencing, and characterization of multicopy suppressors of a mukB mutation in Escherichia coli. Molecular Microbiology. 13(2). 301–312. 90 indexed citations
19.
Niki, Hironori, Ryu Imamura, Mitsuhiko Kitaoka, et al.. (1992). E.coli MukB protein involved in chromosome partition forms a homodimer with a rod-and-hinge structure having DNA binding and ATP/GTP binding activities.. The EMBO Journal. 11(13). 5101–5109. 165 indexed citations
20.
Hiraga, S, Hironori Niki, Ryu Imamura, et al.. (1991). Mutants defective in chromosome partitioning in E. coli. Research in Microbiology. 142(2-3). 189–194. 39 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.

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