Takaharu Mori

2.7k citations
42 papers · 2.0k indexed · 1 hit paper · h-index 20

Takaharu Mori

42 papers receiving 1.9k citations

Hit Papers

Atg9 is a lipid scramblase that mediates autophagosomal m...298202020262022202450100150200250

Peers

Takaharu Mori
Comparison fields: 5 of 122
  • Structural Biology 98
  • Molecular Biology 1.5k
  • Cell Biology 283
  • Genetics 320
  • Physiology 48
Replace Lizbeth L. Videau with:
Lizbeth L. Videau United States
L.N. Deis United States
Gydo C. P. van Zundert Netherlands
Ray Yu‐Ruei Wang United States
Christian Löw Germany
Shaun Rawson United States
Adrien S. J. Melquiond Netherlands
Aaron S. Brewster United States
Min Su United States
José Ramón López‐Blanco Spain
Takaharu Mori relative to Lizbeth L. Videau United States Lizbeth L. Videau's profile →
Citations per field
00.5×10×20×30×38.7×
Lizbeth L. Videau · 1×
Citations per year

Countries citing papers authored by Takaharu Mori

Since Specialization
Citations

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

Fields of papers citing papers by Takaharu Mori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Takaharu Mori, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Takaharu Mori Line = papers co-authored together Takaharu Mori links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20257
2 20243
3 20223
4 202244
5 202111
6 202148
7 202111
8 20213
9 20207
10
Atg9 is a lipid scramblase that mediates autophagosomal membrane expansionbreakdown →
2020298
11 201812
12 201733
13 2016226
14 201548
15 201559
16 2014174
17 201132
18 20118
19 20102
20 2008178

About Takaharu Mori

Takaharu Mori is a scholar working on Structural Biology, Molecular Biology and Spectroscopy, having authored 42 papers that have together received 2.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (25 papers), Enzyme Structure and Function (12 papers), Lipid Membrane Structure and Behavior (9 papers), RNA and protein synthesis mechanisms (9 papers), Spectroscopy and Quantum Chemical Studies (8 papers), Bacterial Genetics and Biotechnology (8 papers), Bacteriophages and microbial interactions (6 papers) and Advanced NMR Techniques and Applications (4 papers). The work is most often cited by research in Structural Biology (98 citations), Molecular Biology (1.5k citations) and Cell Biology (283 citations). Takaharu Mori has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Yuji Sugita, Jaewoon Jung, Michael Feig, Chigusa Kobayashi, Tadashi Ando, Yasuhiro Matsunaga, Isseki Yu, Ryuhei Harada, Tomoya Tsukazaki and Ryuichiro Ishitani. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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