Keigo Ueda

623 total citations
42 papers, 425 citations indexed

About

Keigo Ueda is a scholar working on Neurology, Psychiatry and Mental health and Molecular Biology. According to data from OpenAlex, Keigo Ueda has authored 42 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Neurology, 7 papers in Psychiatry and Mental health and 6 papers in Molecular Biology. Recurrent topics in Keigo Ueda's work include Long-Term Effects of COVID-19 (17 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (7 papers) and COVID-19 and Mental Health (6 papers). Keigo Ueda is often cited by papers focused on Long-Term Effects of COVID-19 (17 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (7 papers) and COVID-19 and Mental Health (6 papers). Keigo Ueda collaborates with scholars based in Japan. Keigo Ueda's co-authors include Yasuhiro Nakano, Fumio Otsuka, Takao Namiki, Hideharu Hagiya, Kazuki Tokumasu, Hiroyuki Honda, Yuki Otsuka, Yasue Sakurada, Naruhiko Sunada and Hitomi Kataoka and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Keigo Ueda

36 papers receiving 414 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Keigo Ueda Japan 12 223 80 56 53 49 42 425
Farhad Assarzadegan Iran 13 147 0.7× 145 1.8× 42 0.8× 38 0.7× 75 1.5× 48 430
Mahdieh Molanouri Shamsi Iran 15 66 0.3× 66 0.8× 33 0.6× 110 2.1× 168 3.4× 41 523
José Luis López-Sendón Spain 16 358 1.6× 96 1.2× 25 0.4× 107 2.0× 48 1.0× 42 843
Shung-Lon Lai Taiwan 11 66 0.3× 97 1.2× 19 0.3× 25 0.5× 15 0.3× 18 312
Eleni Constantopoulos United States 12 354 1.6× 29 0.4× 239 4.3× 77 1.5× 82 1.7× 17 582
Hesna Bektaş Türkiye 11 126 0.6× 49 0.6× 42 0.8× 56 1.1× 54 1.1× 35 377
Samuel Reyes-Long Mexico 10 37 0.2× 28 0.3× 9 0.2× 42 0.8× 115 2.3× 20 298
Cira Antonietta Forte Italy 12 52 0.2× 56 0.7× 13 0.2× 50 0.9× 51 1.0× 20 355
C. J. Vas United Kingdom 11 98 0.4× 149 1.9× 32 0.6× 42 0.8× 143 2.9× 23 490
Marialaura Simonetto United States 9 224 1.0× 33 0.4× 109 1.9× 32 0.6× 55 1.1× 24 486

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-authorship network of co-authors of Keigo Ueda

This figure shows the co-authorship network connecting the top 25 collaborators of Keigo Ueda. A scholar is included among the top collaborators of Keigo Ueda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Keigo Ueda. Keigo Ueda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Otsuka, Yuki, Koichiro Yamamoto, Yasuhiro Nakano, et al.. (2025). Involvement of a Novel Variant of FGFR1 Detected in an Adult Patient with Kallmann Syndrome in Regulation of Gonadal Steroidogenesis. International Journal of Molecular Sciences. 26(6). 2713–2713. 1 indexed citations
2.
Otsuka, Yuki, Kazuki Tokumasu, Hiroyuki Honda, et al.. (2025). Interrelationships Between Plasma Levels of Brain Natriuretic Peptide and Prolonged Symptoms Due to Long COVID. Journal of Clinical Medicine. 14(3). 817–817.
3.
Honda, Hiroyuki, Yuki Otsuka, Kazuki Tokumasu, et al.. (2024). Importance of Blood Glucose Measurement for Predicting the Prognosis of Long COVID: A Retrospective Study in Japan. Journal of Clinical Medicine. 13(14). 4099–4099. 2 indexed citations
4.
Sakurada, Yasue, Yuki Otsuka, Kazuki Tokumasu, et al.. (2024). Changes in Working Situations of Employed Long COVID Patients: Retrospective Study in Japanese Outpatient Clinic. Journal of Clinical Medicine. 13(13). 3809–3809. 3 indexed citations
5.
Tokumasu, Kazuki, Yuki Otsuka, Naruhiko Sunada, et al.. (2023). Symptomatic Characteristics of Hypozincemia Detected in Long COVID Patients. Journal of Clinical Medicine. 12(5). 2062–2062. 6 indexed citations
6.
Sakurada, Yasue, Yuki Otsuka, Kazuki Tokumasu, et al.. (2023). Trends in Long COVID Symptoms in Japanese Teenage Patients. Medicina. 59(2). 261–261. 10 indexed citations
7.
Tokumasu, Kazuki, Keigo Ueda, Hiroyuki Honda, et al.. (2022). Application of Kampo Medicines for Treatment of General Fatigue Due to Long COVID. Medicina. 58(6). 730–730. 10 indexed citations
8.
Sunada, Naruhiko, Yasuhiro Nakano, Yuki Otsuka, et al.. (2022). Characteristics of Sleep Disturbance in Patients with Long COVID: A Retrospective Observational Study in Japan. Journal of Clinical Medicine. 11(24). 7332–7332. 12 indexed citations
9.
Tokumasu, Kazuki, Hiroyuki Honda, Naruhiko Sunada, et al.. (2022). Clinical Characteristics of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) Diagnosed in Patients with Long COVID. Medicina. 58(7). 850–850. 35 indexed citations
10.
Otsuka, Yuki, Kazuki Tokumasu, Yasuhiro Nakano, et al.. (2022). Late-Onset Hypogonadism in a Male Patient with Long COVID Diagnosed by Exclusion of ME/CFS. Medicina. 58(4). 536–536. 8 indexed citations
11.
Nakano, Yasuhiro, Yuki Otsuka, Hiroyuki Honda, et al.. (2022). Transitional Changes in Fatigue-Related Symptoms Due to Long COVID: A Single-Center Retrospective Observational Study in Japan. Medicina. 58(10). 1393–1393. 17 indexed citations
12.
Honda, Hiroyuki, Koichiro Yamamoto, Kazuki Tokumasu, et al.. (2021). Clinical Characteristics of Low Androgen Status in Males with Type 2 Diabetes Mellitus.. PubMed. 75(1). 1–8. 1 indexed citations
13.
Hagiya, Hideharu, Hiroyuki Honda, Yasuhiro Nakano, et al.. (2021). Antimicrobial prescription practices for outpatients with acute respiratory tract infections: A retrospective, multicenter, medical record-based study. PLoS ONE. 16(11). e0259633–e0259633. 2 indexed citations
15.
Okamoto, Hideki, et al.. (2013). A Valid Approach in Refractory Glossodynia: A Single-Institution 5-Year Experience Treating with Japanese Traditional Herbal (Kampo) Medicine. Evidence-based Complementary and Alternative Medicine. 2013. 1–8. 7 indexed citations
16.
Ogawa‐Ochiai, Keiko, Nobuyasu SEKIYA, Atsushi CHINO, et al.. (2011). A Case of Mediastinal Lymphangioma Successfully Treated with Kampo Medicine. The Journal of Alternative and Complementary Medicine. 17(6). 563–565. 13 indexed citations
17.
CHINO, Atsushi, et al.. (2011). A Case of Aromatase Inhibitor (Anastrozole)–Induced Side-Effects Successfully Treated with Kampo Medicines. The Journal of Alternative and Complementary Medicine. 17(11). 1075–1077. 4 indexed citations
18.
Ueda, Keigo, Takao Namiki, Atsushi CHINO, et al.. (2011). A Case of Thalamic Pain Successfully Treated with Kampo Medicine. The Journal of Alternative and Complementary Medicine. 17(6). 567–570. 7 indexed citations
19.
Kawai, Yasuaki, et al.. (2003). Effects of Microgravity on Cerebral Hemodynamics. Yonago acta medica. 46(1). 1–8. 21 indexed citations
20.
Nakaso, Kazuhiro, Kenichi Yasui, Hisanori Kowa, et al.. (2003). Hypertrophy of IMC of carotid artery in Parkinson's disease is associated with l-DOPA, homocysteine, and MTHFR genotype. Journal of the Neurological Sciences. 207(1-2). 19–23. 67 indexed citations

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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