Keigo Ueda

36 papers receiving 414 citations

Peers

Keigo Ueda
Comparison fields: 5 of 88
  • Neurology 223
  • Critical Care and Intensive Care Medicine 41
  • Complementary and alternative medicine 48
  • Psychiatry and Mental health 80
  • Neurology 36
Replace Mahdieh Molanouri Shamsi with:
Mahdieh Molanouri Shamsi Iran
Farhad Assarzadegan Iran
José Luis López-Sendón Spain
Samuel Reyes-Long Mexico
Jacqueline Fischer United States
Shung-Lon Lai Taiwan
Eleni Constantopoulos United States
Kathleen M. Randolph United States
Cira Antonietta Forte Italy
Kyle Gress United States
Keigo Ueda relative to Mahdieh Molanouri Shamsi Iran Mahdieh Molanouri Shamsi's profile →
Citations per field
00.5×4.6×
Mahdieh Molanouri Shamsi · 1×
Citations per year

Countries citing papers authored by Keigo Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Keigo Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200367
2 202242
3 201437
4 202235
5 202134
6
Effects of Microgravity on Cerebral Hemodynamics
200321
7 201418
8 202217
9 199915
10 201515
11 201113
12 202212
13 202210
14 202310
15 20228
16 20248
17 20117
18 20137
19 20236
20 20225

About Keigo Ueda

Keigo Ueda is a scholar working on Neurology, Psychiatry and Mental health, Molecular Biology, Critical Care and Intensive Care Medicine and Clinical Psychology, having authored 42 papers that have together received 425 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (17 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (7 papers), COVID-19 and Mental Health (6 papers), Thermal Regulation in Medicine (5 papers), Plant-based Medicinal Research (4 papers), COVID-19 Clinical Research Studies (4 papers), Pharmacological Effects of Natural Compounds (4 papers) and Cancer Treatment and Pharmacology (3 papers). The work is most often cited by research in Neurology (223 citations), Critical Care and Intensive Care Medicine (41 citations), Complementary and alternative medicine (48 citations), Psychiatry and Mental health (80 citations) and Neurology (36 citations). Keigo Ueda has collaborated with scholars based in Japan. Frequent co-authors include Fumio Otsuka, Yasuhiro Nakano, Yuki Otsuka, Hiroyuki Honda, Hideharu Hagiya, Takao Namiki, Kazuki Tokumasu, Naruhiko Sunada, Yasue Sakurada and Hitomi Kataoka. Their work appears in journals such as Journal of Clinical Medicine, Scientific Reports, The Journal of Alternative and Complementary Medicine, Evidence-based Complementary and Alternative Medicine and PLoS ONE.

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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