Jun Nishida

1.8k citations
51 papers · 1.3k · h-index 22

Impact in

  • Catalysis top 10%
    • Ionic liquids properties and applications
    • Electrochemical Analysis and Applications

Papers in

Jun Nishida

48 papers receiving 1.3k citations

Peers

Jun Nishida
Comparison fields: 5 of 89
  • Catalysis 144
  • Electrochemistry 122
  • Atomic and Molecular Physics, and Optics 480
  • Spectroscopy 228
  • Surfaces, Coatings and Films 95
Replace Yunzhi Li with:
Yunzhi Li China
Takayuki Miyamae Japan
Pradip Kr. Ghorai India
Yury A. Budkov Russia
Jan‐Willem Handgraaf Netherlands
Werner Reckien Germany
Nora A. McDonald United States
Eudes Eterno Fileti Brazil
H.‐D. Dörfler Germany
Chee Chin Liew Japan
Jun Nishida relative to Yunzhi Li China Yunzhi Li's profile →
Citations per field
00.5×2.8×
Yunzhi Li · 1×
Citations per year

Countries citing papers authored by Jun Nishida

Since Specialization
Citations

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

Fields of papers citing papers by Jun Nishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998259
2 201477
3 199863
4 201653
5 201852
6 200651
7 201549
8 201645
9 201544
10 201643
11 201739
12 200634
13 201834
14 202033
15 201631
16 201730
17 202229
18 201727
19 201225
20 201925

About Jun Nishida

Jun Nishida is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Materials Chemistry, Biomedical Engineering and Spectroscopy, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Spectroscopy and Quantum Chemical Studies (20 papers), Perovskite Materials and Applications (7 papers), Thermodynamic properties of mixtures (4 papers), Transition Metal Oxide Nanomaterials (4 papers), Quantum Dots Synthesis And Properties (4 papers), Molecular Junctions and Nanostructures (4 papers), Photochemistry and Electron Transfer Studies (4 papers) and 2D Materials and Applications (3 papers). The work is most often cited by research in Catalysis (144 citations), Electrochemistry (122 citations), Atomic and Molecular Physics, and Optics (480 citations), Spectroscopy (228 citations) and Surfaces, Coatings and Films (95 citations). Jun Nishida has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include M. D. Fayer, Chang Yan, Amr Tamimi, Patrick L. Kramer, Rongfeng Yuan, Takeo Koito, O. Karthaus, M. Shimomura, Kuniharu Ijiro and X. Cieren. Their work appears in journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry C, Journal of the American Chemical Society, Nano Letters and Proceedings of the National Academy of Sciences.

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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