Jun Ueda

1.5k citations
86 papers · 1.0k · h-index 18

Impact in

Papers in

Jun Ueda

81 papers receiving 981 citations

Peers

Jun Ueda
Comparison fields: 5 of 137
  • Nephrology 268
  • Critical Care and Intensive Care Medicine 87
  • Neurology 214
  • Catalysis 37
  • Reproductive Medicine 44
Replace Tomohiro Nakayama with:
Tomohiro Nakayama Japan
Diego Miotto Italy
Marla Paun United States
Jing Gao United States
Christopher L. Gordon Canada
J.P. Archie United States
Yong‐Hee Park South Korea
Dawei Liu China
J. M. B. Hughes United Kingdom
M. Intaglietta United States
Jun Ueda relative to Tomohiro Nakayama Japan Tomohiro Nakayama's profile →
Citations per field
00.5×6.1×
Tomohiro Nakayama · 1×
Citations per year

Countries citing papers authored by Jun Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199375
2 198970
3 199251
4 202143
5 200339
6 199836
7 199831
8 198328
9 199627
10 199627
11 201325
12 199225
13 202124
14 199923
15 198621
16 199819
17 199818
18 199018
19 202017
20 199616

About Jun Ueda

Jun Ueda is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Electrical and Electronic Engineering, Neurology and Nephrology, having authored 86 papers that have together received 1.0k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (10 papers), Acute Kidney Injury Research (9 papers), Advancements in Semiconductor Devices and Circuit Design (7 papers), Renal and Vascular Pathologies (7 papers), Lanthanide and Transition Metal Complexes (7 papers), Neurological disorders and treatments (6 papers), Semiconductor materials and devices (6 papers) and Salivary Gland Tumors Diagnosis and Treatment (5 papers). The work is most often cited by research in Nephrology (268 citations), Critical Care and Intensive Care Medicine (87 citations), Neurology (214 citations), Catalysis (37 citations) and Reproductive Medicine (44 citations). Jun Ueda has collaborated with scholars based in Japan, Sweden and United States. Frequent co-authors include Anders Nygren, Peter Hansell, H. R. Ulfendahl, Satoru Takahashi, Uno Erikson, Katsuhiko Sakaguchi, Y Araki, Yutaka Araki, Yasuo Kobayashi and Ryōsuke Takahashi. Their work appears in journals such as Acta Radiologica, International Journal of Refrigeration, European Journal of Radiology, Movement Disorders and Solid-State Electronics.

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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