Mitsunori Kato

5.1k citations
18 papers · 2.4k indexed · 3 hit papers · h-index 12

Mitsunori Kato

18 papers receiving 2.4k citations

Hit Papers

Electrostatic Basis for Enzyme Catalysis20062026201220192006200620072505007501000

Peers

Mitsunori Kato
Comparison fields: 5 of 109
  • Molecular Biology 1.6k
  • Atomic and Molecular Physics, and Optics 586
  • Materials Chemistry 555
  • Organic Chemistry 289
  • Spectroscopy 262
Replace Zhen T. Chu with:
Zhen T. Chu United States
G. Matthias Ullmann Germany
Indira H. Shrivastava United States
Victor B. Luzhkov Russia
Krzysztof Kuczera United States
Rick L. Ornstein United States
Jingzhi Pu United States
Fengyi Liu China
Pernille Harris Denmark
Gurusamy Balakrishnan United States
Mitsunori Kato relative to Zhen T. Chu United States Zhen T. Chu's profile →
Citations per field
00.5×1.5×2.4×
Zhen T. Chu · 1×
Citations per year

Countries citing papers authored by Mitsunori Kato

Since Specialization
Citations

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

Fields of papers citing papers by Mitsunori Kato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsunori Kato

This figure shows the co-authorship network connecting the top 25 collaborators of Mitsunori Kato. A scholar is included among the top collaborators of Mitsunori Kato 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 Mitsunori Kato. Mitsunori Kato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 4
2 11
3 21
4 2
5
Experimental study of steel grid dam for debris flow composed by small rock
1
6 48
7 6
8
Polarizable Force Fields:  History, Test Cases, and Prospectsbreakdown →
273
9
Modeling electrostatic effects in proteinsbreakdown →
440
10 113
11 54
12 5
13
Electrostatic Basis for Enzyme Catalysisbreakdown →
1113
14 97
15 36
16 79
17 123
18 1

About Mitsunori Kato

Mitsunori Kato is a scholar working on Molecular Biology, Computational Theory and Mathematics and Microbiology, having authored 18 papers that have together received 2.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), Ion channel regulation and function (4 papers) and Spectroscopy and Quantum Chemical Studies (3 papers). The work is most often cited by research in Physical and Theoretical Chemistry (214 citations), Molecular Biology (1.6k citations) and Atomic and Molecular Physics, and Optics (586 citations). Mitsunori Kato has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Arieh Warshel, Pankaz K. Sharma, Yun Xiang, Hanbin Liu, Mats H. M. Olsson, Andrei V. Pisliakov, Walther Parson, Avital Shurki, Marek Štrajbl and Anton Burykin. Their work appears in journals such as Chemical Reviews, Journal of the American Chemical Society and Journal of Biological Chemistry.

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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