Jun Ueki

1.4k citations
41 papers · 1.1k · h-index 16

Impact in

Papers in

    • Chronic Obstructive Pulmonary Disease (COPD) Research 13
    • Respiratory Support and Mechanisms 6
    • Plant tissue culture and regeneration 4
    • CRISPR and Genetic Engineering 4
    • Photosynthetic Processes and Mechanisms 3

Jun Ueki

41 papers receiving 1.1k citations

Peers

Jun Ueki
Comparison fields: 5 of 82
  • Critical Care and Intensive Care Medicine 98
  • Biotechnology 102
  • Pulmonary and Respiratory Medicine 337
  • Plant Science 306
  • Molecular Biology 370
Replace D A Chamberlain with:
D A Chamberlain United Kingdom
Ning Yin China
B. Hecketsweiler France
Petra Košútová Slovakia
Xiaohui Yu China
Patrick Meier Germany
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Citations per field
00.5×10×15×19.6×
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Citations per year

Countries citing papers authored by Jun Ueki

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ueki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995217
2 2005120
3 1997113
4 199587
5 199780
6 200755
7 200653
8 200452
9 202251
10 201235
11 199334
12 199428
13 200726
14 200225
15 201822
16 201916
17 199615
18 200114
19 19978
20 20048

About Jun Ueki

Jun Ueki is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Plant Science, Surgery and Animal Science and Zoology, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (13 papers), Respiratory Support and Mechanisms (6 papers), Plant tissue culture and regeneration (4 papers), CRISPR and Genetic Engineering (4 papers), Pharmacological Effects and Assays (3 papers), Photosynthetic Processes and Mechanisms (3 papers), Transgenic Plants and Applications (3 papers) and Cardiovascular and exercise physiology (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (98 citations), Biotechnology (102 citations), Pulmonary and Respiratory Medicine (337 citations), Plant Science (306 citations) and Molecular Biology (370 citations). Jun Ueki has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include N. B. Pride, Pedro Felipe Carvalhedo de Bruin, Toshihiko Komari, A Watson, Naoto Shibuya, Eiichi Minami, Takeshi Yamaguchi, Takashi Kumashiro, S Morioka and Andrew Bush. Their work appears in journals such as Plant and Cell Physiology, Thorax, International Journal of COPD, Molecular Breeding and European Respiratory Journal.

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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