Tetsuya Shimokawa

1.1k citations
88 papers · 831 indexed · h-index 18

Tetsuya Shimokawa

84 papers receiving 804 citations

Peers

Tetsuya Shimokawa
Comparison fields: 5 of 118
  • Cell Biology 152
  • Developmental Neuroscience 32
  • Cellular and Molecular Neuroscience 135
  • Paleontology 49
  • Physiology 177
Replace Aram Megighian with:
Aram Megighian Italy
Takahiko Yokoyama Japan
Toshiharu Yamamoto Japan
Robert L. Gimlich United States
Barbara Käsmann‐Kellner Germany
Matthew Reed United Kingdom
Atsushi Sawada Japan
J. Westerga Netherlands
G Gauthier United States
Jamie M. Verheyden United States
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Citations per field
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Citations per year

Countries citing papers authored by Tetsuya Shimokawa

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuya Shimokawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Tetsuya Shimokawa, 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 Tetsuya Shimokawa Line = papers co-authored together Tetsuya Shimokawa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20231
3 20225
4 20222
5 202111
6 20217
7 202110
8 202013
9 20201
10
Partial correlation estimation for functional connectivity and its application to classification of chronic back pain patients
20190
11 20186
12 201717
13 201421
14 20140
15
Maximum entropy based randomized routing in data-centric networks
20132
16 201315
17 20116
18 20084
19 20075
20 200622

About Tetsuya Shimokawa

Tetsuya Shimokawa is a scholar working on Cell Biology, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 88 papers that have together received 831 indexed citations. Recurring topics across this work include Total Knee Arthroplasty Outcomes (11 papers), Lysosomal Storage Disorders Research (11 papers), Cellular transport and secretion (11 papers), Knee injuries and reconstruction techniques (8 papers), Spinal Dysraphism and Malformations (7 papers), Spinal Fractures and Fixation Techniques (7 papers), Orthopaedic implants and arthroplasty (7 papers) and Neuroscience and Neuropharmacology Research (7 papers). The work is most often cited by research in Cell Biology (152 citations), Developmental Neuroscience (32 citations) and Cellular and Molecular Neuroscience (135 citations). Tetsuya Shimokawa has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Seiji Matsuda, Hiroaki Nabeka, Naoto Kobayashi, Shouichiro Saito, Huiling Gao, Hiroyuki Wakisaka, Soichiro Kawabe, Sakirul Khan, Hitoshi Miki and Fumihiko Hamada. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Comparative Neurology.

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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