Jun Kojima

3.7k citations
91 papers · 2.0k indexed · h-index 22

Impact in

Papers in

Jun Kojima

86 papers receiving 2.0k citations

Peers

Jun Kojima
Comparison fields: 5 of 135
  • Neurology 420
  • Cellular and Molecular Neuroscience 382
  • Pulmonary and Respiratory Medicine 544
  • Cognitive Neuroscience 229
  • Epidemiology 339
Replace Cathrine Jonsson with:
Cathrine Jonsson Sweden
Su Xu United States
Robert Shih United States
Kevin Chen United States
Guadalupe Sòria Spain
Kazuo Abe Japan
Agustín Legido United States
Joseph Sullivan United States
Takashi Kusaka Japan
M.D. Ilya Petrou United States
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Citations per field
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Citations per year

Countries citing papers authored by Jun Kojima

Since Specialization
Citations

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

Fields of papers citing papers by Jun Kojima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012256
2 1992195
3 2012186
4 2013166
5 1997112
6 200296
7 200789
8 200354
9 199148
10 200039
11 200137
12 201137
13 200833
14 200332
15 200130
16 199527
17 200627
18 201123
19 201723
20 200522

About Jun Kojima

Jun Kojima is a scholar working on Electrical and Electronic Engineering, Pulmonary and Respiratory Medicine, Molecular Biology, Neurology and Cellular and Molecular Neuroscience, having authored 91 papers that have together received 2.0k indexed citations. Recurring topics across this work include Silicon Carbide Semiconductor Technologies (16 papers), Semiconductor materials and devices (9 papers), GaN-based semiconductor devices and materials (9 papers), Thin-Film Transistor Technologies (8 papers), Semiconductor materials and interfaces (7 papers), Neuroscience and Neuropharmacology Research (7 papers), Silicon and Solar Cell Technologies (7 papers) and Intracranial Aneurysms: Treatment and Complications (6 papers). The work is most often cited by research in Neurology (420 citations), Cellular and Molecular Neuroscience (382 citations), Pulmonary and Respiratory Medicine (544 citations), Cognitive Neuroscience (229 citations) and Epidemiology (339 citations). Jun Kojima has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Masaru Matsumura, Okihide Hikosaka, Thomas W. Gardiner, Katsutoshi Nakayama, Jun Araya, Kazuyoshi Kuwano, Makoto Kawaishi, Hiromichi Hara, Makoto Odaka and Toshiaki Morikawa. Their work appears in journals such as European Respiratory Journal, Journal of Crystal Growth, Japanese Journal of Applied Physics, Neuroscience Research and Applied Surface Science.

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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