Sumiko Yoshida

6.1k total citations · 1 hit paper
150 papers, 4.4k citations indexed

About

Sumiko Yoshida is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sumiko Yoshida has authored 150 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 29 papers in Endocrinology, Diabetes and Metabolism and 23 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sumiko Yoshida's work include Tryptophan and brain disorders (22 papers), Bipolar Disorder and Treatment (12 papers) and Neuroscience and Neuropharmacology Research (11 papers). Sumiko Yoshida is often cited by papers focused on Tryptophan and brain disorders (22 papers), Bipolar Disorder and Treatment (12 papers) and Neuroscience and Neuropharmacology Research (11 papers). Sumiko Yoshida collaborates with scholars based in Japan, United States and Australia. Sumiko Yoshida's co-authors include Hiroshi Kunugi, Kotaro Hattori, Miho Ota, Toshiya Teraishi, Ken‐ichi Aihara, Yasumasa Ikeda, Hiroaki Hori, Emiko Aizawa, Norie Koga and Hirokazu Tsuji and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Nature Medicine.

In The Last Decade

Sumiko Yoshida

143 papers receiving 4.3k citations

Hit Papers

Possible association of Bifidobacterium and Lactobacillus... 2016 2026 2019 2022 2016 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Possible association of Bifidobacterium and Lactobacillus in the gut microbiota of patients with major depressive disorder
    2016 447 citations Emiko Aizawa, Toshiya Teraishi et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sumiko Yoshida Japan 36 1.5k 1.0k 867 502 493 150 4.4k
Cristóforo Scavone Brazil 42 1.5k 1.0× 1.2k 1.1× 457 0.5× 444 0.9× 337 0.7× 153 5.2k
Miklós Tóth Hungary 27 2.1k 1.3× 954 0.9× 658 0.8× 552 1.1× 406 0.8× 88 4.3k
Hongbo He China 37 1.3k 0.8× 871 0.8× 313 0.4× 456 0.9× 478 1.0× 131 4.2k
Amanda J. Kiliaan Netherlands 44 1.5k 1.0× 2.9k 2.8× 660 0.8× 588 1.2× 450 0.9× 147 7.4k
Enzo Emanuele Italy 38 1.1k 0.7× 1.4k 1.3× 240 0.3× 518 1.0× 642 1.3× 156 5.6k
Gerwyn Morris Australia 49 1.5k 1.0× 1.5k 1.5× 1.3k 1.4× 403 0.8× 182 0.4× 103 8.5k
Beatrice Arosio Italy 35 1.5k 1.0× 1.3k 1.2× 391 0.5× 179 0.4× 171 0.3× 148 4.0k
Marco Fiore Italy 47 1.3k 0.9× 898 0.9× 246 0.3× 235 0.5× 341 0.7× 257 6.3k
Natália Pessoa Rocha Brazil 35 682 0.4× 628 0.6× 693 0.8× 294 0.6× 160 0.3× 138 3.9k
Per M. Humpert Germany 33 1.0k 0.7× 849 0.8× 312 0.4× 765 1.5× 1.0k 2.1× 71 4.8k

Countries citing papers authored by Sumiko Yoshida

Since Specialization
Citations

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

Fields of papers citing papers by Sumiko Yoshida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumiko Yoshida

This figure shows the co-authorship network connecting the top 25 collaborators of Sumiko Yoshida. A scholar is included among the top collaborators of Sumiko Yoshida 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 Sumiko Yoshida. Sumiko Yoshida 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.
Nishimura, Rimei, Akio Kuroda, Junichi Suzuki, et al.. (2025). Consensus statement on novel glucose-related metrics obtained through advanced medical devices: English version. Diabetology International. 16(4). 595–613.
2.
Abe, Makiko, Tetsuo Hirata, Sumiko Yoshida, et al.. (2024). Smartphone application-based intervention to lower blood pressure: a systematic review and meta-analysis. Hypertension Research. 48(2). 492–505. 3 indexed citations
3.
4.
Fujii, Takeshi, Kotaro Hattori, Hiroaki Hori, et al.. (2023). Discrepancy between Clinician-rated and Self-reported Depression Severity is Associated with Adverse Childhood Experience, Autistic-like Traits, and Coping Styles in Mood Disorders. Clinical Psychopharmacology and Neuroscience. 21(2). 296–303. 3 indexed citations
5.
Ishida, Ikki, Emiko Aizawa, Miho Ota, et al.. (2022). Gut permeability and its clinical relevance in schizophrenia. Neuropsychopharmacology Reports. 42(1). 70–76. 31 indexed citations
6.
Kurahashi, Kiyoe, Sumiko Yoshida, Toshiki Otoda, et al.. (2021). Plasma heparin cofactor II activity is inversely associated with albuminuria and its annual deterioration in patients with diabetes. Journal of Diabetes Investigation. 12(12). 2172–2182. 5 indexed citations
7.
Yoshida, Sumiko, Hirokazu Takahashi, Kenichi Tanaka, et al.. (2021). Relationship between NAFLD and Periodontal Disease from the View of Clinical and Basic Research, and Immunological Response. International Journal of Molecular Sciences. 22(7). 3728–3728. 27 indexed citations
8.
Kuroda, Akio, Hiroyasu Mori, Kiyoe Kurahashi, et al.. (2021). Basal insulin requirement in patients with type 1 diabetes depends on the age and body mass index. Journal of Diabetes Investigation. 13(2). 292–298. 5 indexed citations
9.
Mori, Hiroyasu, Akio Kuroda, Sumiko Yoshida, et al.. (2020). High prevalence and clinical impact of dynapenia and sarcopenia in Japanese patients with type 1 and type 2 diabetes: Findings from the Impact of Diabetes Mellitus on Dynapenia study. Journal of Diabetes Investigation. 12(6). 1050–1059. 53 indexed citations
10.
Hidese, Shinsuke, Kotaro Hattori, Daimei Sasayama, et al.. (2020). Cerebrospinal fluid neuroplasticity-associated protein levels in patients with psychiatric disorders: a multiplex immunoassay study. Translational Psychiatry. 10(1). 161–161. 37 indexed citations
11.
Mori‐Yoshimura, Madoka, Sumiko Yoshida, Narihiro Minami, et al.. (2019). Psychiatric and neurodevelopmental aspects of Becker muscular dystrophy. Neuromuscular Disorders. 29(12). 930–939. 28 indexed citations
12.
Mori, Hiroyasu, Akio Kuroda, Yuichi Takashi, et al.. (2019). Association of accumulated advanced glycation end‐products with a high prevalence of sarcopenia and dynapenia in patients with type 2 diabetes. Journal of Diabetes Investigation. 10(5). 1332–1340. 80 indexed citations
13.
Takebayashi, Minoru, Hiromi Abe, Chiyo Shibasaki, et al.. (2019). Reduced Serum and Cerebrospinal Fluid Levels of Autotaxin in Major Depressive Disorder. The International Journal of Neuropsychopharmacology. 22(4). 261–269. 13 indexed citations
14.
Hidese, Shinsuke, Kotaro Hattori, Daimei Sasayama, et al.. (2017). Cerebrospinal fluid neural cell adhesion molecule levels and their correlation with clinical variables in patients with schizophrenia, bipolar disorder, and major depressive disorder. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 76. 12–18. 19 indexed citations
15.
Hattori, Kotaro, Miho Ota, Daimei Sasayama, et al.. (2015). Increased cerebrospinal fluid fibrinogen in major depressive disorder. Scientific Reports. 5(1). 11412–11412. 46 indexed citations
16.
Kikuchi, Ryosuke, Kazuto Nakamura, Susan MacLauchlan, et al.. (2014). An antiangiogenic isoform of VEGF-A contributes to impaired vascularization in peripheral artery disease. Nature Medicine. 20(12). 1464–1471. 150 indexed citations
17.
Yoshida, Sumiko, Ken‐ichi Aihara, Yasumasa Ikeda, et al.. (2013). Androgen Receptor Promotes Sex-Independent Angiogenesis in Response to Ischemia and Is Required for Activation of Vascular Endothelial Growth Factor Receptor Signaling. Circulation. 128(1). 60–71. 50 indexed citations
18.
Kuroda, Akio, Tetsuyuki Yasuda, Mitsuyoshi Takahara, et al.. (2012). Carbohydrate-to-Insulin Ratio Is Estimated from 300–400 Divided by Total Daily Insulin Dose in Type 1 Diabetes Patients Who Use the Insulin Pump. Diabetes Technology & Therapeutics. 14(11). 1077–1080. 11 indexed citations
19.
Ise, Takayuki, Ken‐ichi Aihara, Sumiko Yoshida, et al.. (2010). Plasma heparin cofactor II activity is inversely associated with left atrial volume and diastolic dysfunction in humans with cardiovascular risk factors. Hypertension Research. 34(2). 225–231. 6 indexed citations
20.
Fujimura, Mitsunori, Masashi Akaike, Takashi Iwase, et al.. (2009). Decrease in plasma brain natriuretic peptide level in the early phase after the start of carvedilol therapy is a novel predictor of long-term outcome in patients with chronic heart failure. Acta Cardiologica. 64(5). 589–595. 4 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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