Jin Nishida

1.3k citations
27 papers · 1.2k · h-index 18

Impact in

Papers in

Jin Nishida

27 papers receiving 1.2k citations

Peers

Jin Nishida
Comparison fields: 5 of 75
  • Surfaces, Coatings and Films 487
  • Biomaterials 248
  • Polymers and Plastics 180
  • Organic Chemistry 363
  • Materials Chemistry 486
Replace Torben Gillich with:
Torben Gillich Switzerland
Ihsan Amin Germany
Mateusz Olszewski United States
Andreas Mühlebach Switzerland
P. Banerjee United States
Joanna Burdyńska United States
Vincent Roucoules France
Teresa Basińska Poland
Andrew Gelman United States
Lucca Trachsel Switzerland
Jin Nishida relative to Torben Gillich Switzerland Torben Gillich's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jin Nishida

Since Specialization
Citations

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

Fields of papers citing papers by Jin Nishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002184
2 2012173
3 1999146
4 1999114
5 201566
6 200451
7 200249
8 201646
9 199945
10 201339
11 200532
12 201230
13 201228
14 201426
15 200625
16 200925
17 199824
18 200417
19 202215
20 201513

About Jin Nishida

Jin Nishida is a scholar working on Surfaces, Coatings and Films, Materials Chemistry, Organic Chemistry, Biomaterials and Biomedical Engineering, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Polymer Surface Interaction Studies (13 papers), Advanced Polymer Synthesis and Characterization (4 papers), Surface Modification and Superhydrophobicity (4 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Surfactants and Colloidal Systems (3 papers), Chemical Synthesis and Analysis (3 papers), Block Copolymer Self-Assembly (3 papers) and Nanofabrication and Lithography Techniques (3 papers). The work is most often cited by research in Surfaces, Coatings and Films (487 citations), Biomaterials (248 citations), Polymers and Plastics (180 citations), Organic Chemistry (363 citations) and Materials Chemistry (486 citations). Jin Nishida has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Masatsugu Shimomura, Atsushi Takahara, Takehiro Nishikawa, Ryusuke Ookura, Motoyasu Kobayashi, Shin‐Ichiro Nishimura, Takeshi Karino, Hideyuki Otsuka, Hang Xu and Hui Wu. Their work appears in journals such as Langmuir, Chemistry Letters, Polymer Journal, ACS Macro Letters and Materials Science and Engineering C.

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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