Shoji Takada

8.3k citations
141 papers · 6.3k indexed · 1 hit paper · h-index 41
Topics
Protein Structure and Dynamics (64 papers)Enzyme Structure and Function (41 papers)RNA and protein synthesis mechanisms (29 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Shoji Takada

136 papers receiving 6.2k citations

Hit Papers

On the Hamiltonian replica exchange method for efficient ...20022026201020182002200400600

Peers

Shoji Takada
Comparison fields: 5 of 137
  • Molecular Biology 5.3k
  • Materials Chemistry 2.3k
  • Atomic and Molecular Physics, and Optics 1.1k
  • Spectroscopy 711
  • Cell Biology 432
Replace Zaida Luthey‐Schulten with:
Zaida Luthey‐Schulten United States
Susan Marqusee United States
Jianpeng Ma United States
Akinori Kidera Japan
Emanuele Paci United Kingdom
Martin Zacharias Germany
Kyle A. Beauchamp United States
Víctor Muñoz United States
Gregory R. Bowman United States
Shoji Takada relative to Zaida Luthey‐Schulten United States Zaida Luthey‐Schulten's profile →
Citations per field
00.5×1.5×
Zaida Luthey‐Schulten · 1×
Citations per year

Countries citing papers authored by Shoji Takada

Since Specialization
Citations

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

Fields of papers citing papers by Shoji Takada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoji Takada

This figure shows the co-authorship network connecting the top 25 collaborators of Shoji Takada. A scholar is included among the top collaborators of Shoji Takada 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 Shoji Takada. Shoji Takada 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 0
3 3
4 1
5 7
6 3
7 1
8 11
9 9
10 51
11 1
12 11
13 9
14 49
15 5
16 252
17 4
18 98
19 53
20 1

About Shoji Takada

Shoji Takada is a scholar working on Structural Biology, Molecular Biology and Spectroscopy, having authored 141 papers that have together received 6.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (64 papers), Enzyme Structure and Function (41 papers) and RNA and protein synthesis mechanisms (29 papers). The work is most often cited by research in Structural Biology (177 citations), Molecular Biology (5.3k citations) and Materials Chemistry (2.3k citations). Shoji Takada has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Nobuyasu Koga, Peter G. Wolynes, Kei-ichi Okazaki, Tsuyoshi Terakawa, Hiroaki Fukunishi, Osamu Watanabe, Wenfei Li, Hiroo Kenzaki, Cheng Tan and John J. Portman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.

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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