Yoshioki Yoda

604 total citations
18 papers, 400 citations indexed

About

Yoshioki Yoda is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Yoshioki Yoda has authored 18 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 7 papers in Pulmonary and Respiratory Medicine and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Yoshioki Yoda's work include Helicobacter pylori-related gastroenterology studies (5 papers), Gastric Cancer Management and Outcomes (5 papers) and Gastroesophageal reflux and treatments (4 papers). Yoshioki Yoda is often cited by papers focused on Helicobacter pylori-related gastroenterology studies (5 papers), Gastric Cancer Management and Outcomes (5 papers) and Gastroesophageal reflux and treatments (4 papers). Yoshioki Yoda collaborates with scholars based in Japan, United Kingdom and Belarus. Yoshioki Yoda's co-authors include Masayuki Fujino, Zentaro Yamagata, Kenji Kashiwagi, Masako Ochiai, Tetsuro Oshika, Shin’ichi Satoh, Masahiro Ikeda, Yasuhisa Takeda, Hiroshi Yokomichi and Takao Arai and has published in prestigious journals such as Gastroenterology, BMC Public Health and BMJ Open.

In The Last Decade

Yoshioki Yoda

18 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoshioki Yoda Japan 9 164 112 100 88 76 18 400
Matthew H. Lee United States 12 110 0.7× 42 0.4× 92 0.9× 161 1.8× 30 0.4× 31 445
Xiaocheng Cheng China 12 83 0.5× 47 0.4× 72 0.7× 68 0.8× 10 0.1× 29 604
Ki Bae Bang South Korea 15 191 1.2× 241 2.2× 96 1.0× 31 0.4× 6 0.1× 52 561
Tetsuro Nishikage Japan 13 268 1.6× 53 0.5× 91 0.9× 165 1.9× 6 0.1× 32 711
Mohammad Elsayed United States 13 109 0.7× 113 1.0× 63 0.6× 93 1.1× 21 0.3× 42 495
Konstantinos Oikonomou Greece 13 120 0.7× 163 1.5× 20 0.2× 25 0.3× 21 0.3× 24 501
Chris C. Lee United States 10 77 0.5× 68 0.6× 272 2.7× 53 0.6× 25 0.3× 12 413
Mustafa Ünübol Türkiye 10 58 0.4× 48 0.4× 54 0.5× 8 0.1× 25 0.3× 41 273
Tiago Rodrigues Portugal 10 41 0.3× 53 0.5× 22 0.2× 56 0.6× 13 0.2× 41 358
Júlio Carlos Pereira‐Lima Brazil 17 824 5.0× 91 0.8× 356 3.6× 56 0.6× 18 0.2× 53 1.1k

Countries citing papers authored by Yoshioki Yoda

Since Specialization
Citations

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

Fields of papers citing papers by Yoshioki Yoda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoshioki Yoda

This figure shows the co-authorship network connecting the top 25 collaborators of Yoshioki Yoda. A scholar is included among the top collaborators of Yoshioki Yoda 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 Yoshioki Yoda. Yoshioki Yoda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Manabe, Noriaki, et al.. (2022). Effectiveness of screening endoscopy for esophageal squamous cell carcinoma in Japanese males. United European Gastroenterology Journal. 10(8). 868–873. 7 indexed citations
2.
Eto, Hiroyuki, Sho Suzuki, Chika Kusano, et al.. (2021). Impact of body size on first‐line Helicobacter pylori eradication success using vonoprazan and amoxicillin dual therapy. Helicobacter. 26(2). e12788–e12788. 31 indexed citations
3.
Suzuki, Sho, Chika Kusano, Hisatomo Ikehara, et al.. (2021). High Body Mass Index Is Correlated with the Success of Vonoprazan-Based Second-Line Therapy for <i>Helicobacter Pylori </i>Infection. The Tohoku Journal of Experimental Medicine. 253(2). 85–94. 3 indexed citations
4.
Ooka, Tadao, et al.. (2021). Random forest approach for determining risk prediction and predictive factors of type 2 diabetes: large-scale health check-up data in Japan. BMJ Nutrition Prevention & Health. 4(1). 140–148. 34 indexed citations
5.
Suzuki, Sho, Chika Kusano, Hisatomo Ikehara, et al.. (2020). Su1398 SEVEN-DAY VONOPRAZAN AND LOW-DOSE AMOXICILLIN DUAL THERAPY AS FIRST-LINE HELICOBACTER PYLORI TREATMENT: A MULTICENTER RANDOMIZED TRIAL IN JAPAN. Gastroenterology. 158(6). S–575. 1 indexed citations
6.
Satoh, Shin’ichi, et al.. (2019). Evaluation of deep convolutional neural networks for glaucoma detection. Japanese Journal of Ophthalmology. 63(3). 276–283. 63 indexed citations
7.
Miura, Mika, Masahiko Ohtaka, Mitsuhiko Hanawa, et al.. (2019). [Infection status of Helicobacter pylori with antibody values of 3.0U/mL or more and less than 10.0U/mL in the LZ test "Eiken" H. pylori antibody].. PubMed. 115(8). 721–731. 1 indexed citations
8.
Ohtaka, Masahiko, Mika Miura, Mitsuhiko Hanawa, et al.. (2018). Efficacy and Tolerability of Second-Line Metronidazole Triple Therapy Using Vonoprazan for Helicobacter pylori Eradication in Japan—Comparative Study: Vonoprazan vs. Proton Pump Inhibitors. Open Journal of Gastroenterology. 8(1). 27–38. 4 indexed citations
9.
Yokomichi, Hiroshi, Sachiko Ohde, Osamu Takahashi, et al.. (2017). Weight cycling and the subsequent onset of type 2 diabetes mellitus: 10-year cohort studies in urban and rural Japan. BMJ Open. 7(5). e014684–e014684. 14 indexed citations
10.
Miura, Mika, et al.. (2017). Gastric Mucosal Atrophy Might Be Associated with the Efficacy of First-Line Therapy Using Vonoprazan for &lt;i&gt;Helicobacter pylori&lt;/i&gt;. Open Journal of Gastroenterology. 7(9). 243–259. 1 indexed citations
11.
Yokomichi, Hiroshi, Kenji Kashiwagi, Yoshioki Yoda, et al.. (2016). Evaluation of the associations between changes in intraocular pressure and metabolic syndrome parameters: a retrospective cohort study in Japan. BMJ Open. 6(3). e010360–e010360. 28 indexed citations
12.
Yokomichi, Hiroshi, Kohta Suzuki, Yoshioki Yoda, et al.. (2015). Do body mass index trajectories affect the risk of type 2 diabetes? A case–control study. BMC Public Health. 15(1). 718–718. 7 indexed citations
13.
Takeda, Yasuhisa, et al.. (2003). The Association of Fatty Liver and Diabetes Risk.. Journal of Epidemiology. 13(1). 15–21. 45 indexed citations
14.
Yoda, Yoshioki, et al.. (2003). Quantitative Immunological Fecal Occult Blood Test Predicts Probability, Stage, and Location of Colorectal Cancer.. Health Evaluation and Promotion. 30(4). 468–471. 1 indexed citations
15.
Yamagata, Zentaro, et al.. (2002). The relationship between gallbladder disease and smoking and drinking habits in middle-aged Japanese. Journal of Gastroenterology. 37(6). 455–462. 22 indexed citations
16.
Kitahara, Fumiaki, Ichiro Takayama, Yoshioki Yoda, et al.. (1996). [An investigation of the factors influencing serum pepsinogen levels--sex, age, smoking, drinking].. PubMed. 93(12). 867–75. 3 indexed citations
18.
Koizumi, Kiyoshi, et al.. (1992). A new liver functional study using Tc-99m DTPA-galactosyl human serum albumin: Evaluation of the validity of several functional parameters. Annals of Nuclear Medicine. 6(2). 83–87. 44 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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