Yôko Kobayashi

4.5k citations
137 papers · 2.8k indexed · h-index 26

Yôko Kobayashi

122 papers receiving 2.6k citations

Peers

Yôko Kobayashi
Comparison fields: 5 of 172
  • Physical and Theoretical Chemistry 346
  • Biochemistry 215
  • Linguistics and Language 155
  • Language and Linguistics 205
  • Endocrinology, Diabetes and Metabolism 285
Replace Elizabeth R. Simons with:
Elizabeth R. Simons United States
Zoltán Szabó Hungary
Michael J. Groves United Kingdom
Hong Wang China
Mark A. Sherman United States
Alice Lee United States
Ping Hu China
Hyeran Lee South Korea
Jan de Jong Netherlands
Paul J. Schmidt United States
Yôko Kobayashi relative to Elizabeth R. Simons United States Elizabeth R. Simons's profile →
Citations per field
00.5×10×12.8×
Elizabeth R. Simons · 1×
Citations per year

Countries citing papers authored by Yôko Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Yôko Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 20231
3 20230
4 201913
5 201512
6 20141
7 20141
8
Assessing of scale and susceptibility of landslides to earthquake focused on slope relief
20131
9 20134
10 20121
11 20120
12 20117
13 20102
14 20062
15 20061
16 20041
17 200258
18 20015
19 2000123
20 19674

About Yôko Kobayashi

Yôko Kobayashi is a scholar working on Linguistics and Language, Language and Linguistics and Literature and Literary Theory, having authored 137 papers that have together received 2.8k indexed citations. Recurring topics across this work include Multilingual Education and Policy (24 papers), EFL/ESL Teaching and Learning (23 papers), Second Language Learning and Teaching (20 papers), Nuclear reactor physics and engineering (7 papers), Carbohydrate Chemistry and Synthesis (6 papers), Hearing Impairment and Communication (5 papers), Advanced Control Systems Optimization (4 papers) and Electrostatics and Colloid Interactions (4 papers). The work is most often cited by research in Physical and Theoretical Chemistry (346 citations), Biochemistry (215 citations) and Linguistics and Language (155 citations). Yôko Kobayashi has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Sei Hachisu, Akira Kose, Makoto Shimizu, Hideo Satsu, Miho Suzuki, Yusei Miyamoto, Kaoru Takano, Masataka Ozaki, Soichi Arai and Koichi Suzuki. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Cancer.

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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