Go Yoshizawa

592 citations
28 papers · 194 indexed · h-index 7

Go Yoshizawa

23 papers receiving 181 citations

Peers

Go Yoshizawa
Comparison fields: 5 of 89
  • Health Informatics 7
  • Ecological Modeling 11
  • General Energy 2
  • General Decision Sciences 3
  • Management of Technology and Innovation 11
Replace Michelle Westerlaken with:
Michelle Westerlaken United Kingdom
Daniel J. Hicks United States
Paul Oldham United Kingdom
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Anastasiya Astapova Estonia
Helen Pritchard United Kingdom
Giulia Carbone Italy
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Go Yoshizawa relative to Michelle Westerlaken United Kingdom Michelle Westerlaken's profile →
Citations per field
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Citations per year

Countries citing papers authored by Go Yoshizawa

Since Specialization
Citations

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

Fields of papers citing papers by Go Yoshizawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20224
3 20216
4 20203
5 202025
6
Learning from Citizen Science after Fukushima: Probing the Role and Potential of Citizen Science in Nuclear Science and Technology Governance in Japan and Belgium
20190
7 20195
8 20179
9 201749
10 201619
11 201419
12 20144
13 20134
14 20123
15 20114
16 20110
17 20113
18 20111
19
The Concept of 'Sociotechnology' and Funding Agencies Dedicated to Science and Technology for Society
20090
20 20093

About Go Yoshizawa

Go Yoshizawa is a scholar working on General Social Sciences, Communication and Management of Technology and Innovation, having authored 28 papers that have together received 194 indexed citations. Recurring topics across this work include Climate Change Communication and Perception (4 papers), CRISPR and Genetic Engineering (4 papers), Risk Perception and Management (3 papers), Sustainability and Climate Change Governance (3 papers), Social Media and Politics (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Innovation Policy and R&D (2 papers) and Animal and Plant Science Education (2 papers). The work is most often cited by research in Health Informatics (7 citations), Ecological Modeling (11 citations) and General Energy (2 citations). Go Yoshizawa has collaborated with scholars based in Japan, Norway and United Kingdom. Frequent co-authors include Jusaku Minari, Benjamin McLellan, Yusuke Kishita, Itsuki C. Handoh, Damien Giurco, Yoshihiro Kato, Michiel Van Oudheusden, Ine Van Hoyweghen, Victoria Coathup and Harriet Teare. Their work appears in journals such as Technological Forecasting and Social Change, EMBO Reports and Frontiers in Genetics.

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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