Tatsuya Mikami

2.8k total citations
143 papers, 1.4k citations indexed

About

Tatsuya Mikami is a scholar working on Surgery, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tatsuya Mikami has authored 143 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Surgery, 25 papers in Molecular Biology and 25 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tatsuya Mikami's work include Gut microbiota and health (19 papers), Gastric Cancer Management and Outcomes (15 papers) and Diet and metabolism studies (11 papers). Tatsuya Mikami is often cited by papers focused on Gut microbiota and health (19 papers), Gastric Cancer Management and Outcomes (15 papers) and Diet and metabolism studies (11 papers). Tatsuya Mikami collaborates with scholars based in Japan, United Kingdom and United States. Tatsuya Mikami's co-authors include Shinsaku Fukuda, Tadashi Shimoyama, Kan Kanamori, Kazuhisa Yamamoto, Hideo Yasuda, Hirotake Sakuraba, Akihiro Munakata, A. Munakata, Masanori Tanaka and Yoshihiko Saito and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

In The Last Decade

Tatsuya Mikami

126 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tatsuya Mikami Japan 18 415 220 171 149 139 143 1.4k
Crystal Krause United States 19 700 1.7× 370 1.7× 80 0.5× 127 0.9× 81 0.6× 43 1.6k
J. Martín United States 23 267 0.6× 144 0.7× 148 0.9× 26 0.2× 127 0.9× 118 1.8k
Wei‐Lun Chang Taiwan 22 554 1.3× 349 1.6× 355 2.1× 170 1.1× 35 0.3× 102 1.7k
Taejin Park South Korea 18 304 0.7× 257 1.2× 58 0.3× 73 0.5× 62 0.4× 105 1.1k
Xiaoping Xie China 27 190 0.5× 89 0.4× 750 4.4× 71 0.5× 70 0.5× 163 2.4k
Ho‐Jin Lee South Korea 24 364 0.9× 224 1.0× 174 1.0× 10 0.1× 180 1.3× 168 2.1k
Hiroyasu Yasuda Japan 24 115 0.3× 439 2.0× 469 2.7× 62 0.4× 33 0.2× 135 2.0k
Ki Soo Kang South Korea 16 118 0.3× 38 0.2× 180 1.1× 52 0.3× 54 0.4× 59 848
Ke United Kingdom 17 82 0.2× 85 0.4× 145 0.8× 22 0.1× 175 1.3× 221 1.2k
Petra Schiller Germany 24 345 0.8× 505 2.3× 246 1.4× 11 0.1× 91 0.7× 60 2.2k

Countries citing papers authored by Tatsuya Mikami

Since Specialization
Citations

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

Fields of papers citing papers by Tatsuya Mikami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tatsuya Mikami

This figure shows the co-authorship network connecting the top 25 collaborators of Tatsuya Mikami. A scholar is included among the top collaborators of Tatsuya Mikami 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 Tatsuya Mikami. Tatsuya Mikami 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.
2.
Sato, Satoshi, Daisuke Chinda, Katsuhiro Mikami, et al.. (2025). Four-Year Longitudinal Epidemiological Study on the Association Between a Multi-Item Saliva Testing System and Oral and Gut Microbiota. Microorganisms. 13(11). 2483–2483.
3.
Fujimoto, Kenji, Eiichiro Uchino, Ken Itoh, et al.. (2025). Network analysis reveals causal relationships among individual background risk factors leading to influenza susceptibility. Scientific Reports. 15(1). 30721–30721.
4.
Fujishiro, Mitsuhiro, Mikitaka Iguchi, Satoshi Ono, et al.. (2025). Guidelines for endoscopic management of nonvariceal upper gastrointestinal bleeding (second edition). Digestive Endoscopy. 37(5). 447–469. 1 indexed citations
5.
Yang, Yichi, et al.. (2024). Association between Gut Microbiota and Muscle Strength in Japanese General Population of the Iwaki Health Promotion Project. Microorganisms. 12(3). 622–622. 4 indexed citations
6.
7.
Yamauchi, T., Hiroyuki Suganuma, Shigenori Suzuki, et al.. (2023). Definition of a Dietary Pattern Expressing the Intake of Vegetables and Fruits and Its Association with Intestinal Microbiota. Nutrients. 15(9). 2104–2104. 2 indexed citations
8.
Fujita, Naoki, Hiroyuki Suganuma, Shingo Hatakeyama, et al.. (2023). Association between Advanced Glycation End-Products, Carotenoids, and Severe Erectile Dysfunction. The World Journal of Men s Health. 41(3). 701–701. 7 indexed citations
9.
Matsumoto, Yoshitsugu, et al.. (2023). Dose and organ displacement comparisons with breast conservative radiotherapy using abdominal and thoracic deep‐inspiration breath‐holds: A comparative dosimetric study. Journal of Applied Clinical Medical Physics. 24(4). e13888–e13888. 6 indexed citations
10.
Chinda, Daisuke, Yasuhisa Murai, Naoki Higuchi, et al.. (2023). Evaluation of Crohn’s Disease Small-Bowel Mucosal Healing Using Capsule Endoscopy and Usefulness of Leucine-Rich α2-Glycoprotein. Diagnostics. 13(4). 626–626. 5 indexed citations
11.
Sato, Satoshi, Shigeyuki Nakaji, Chikara Iino, et al.. (2023). Association between reactive oxygen species production in neutrophils and liver fibrosis in the general population. Journal of Clinical Biochemistry and Nutrition. 73(3). 214–220. 3 indexed citations
12.
Hasegawa, Takanori, Masanori Kakuta, Rui Yamaguchi, et al.. (2022). Impact of salivary and pancreatic amylase gene copy numbers on diabetes, obesity, and functional profiles of microbiome in Northern Japanese population. Scientific Reports. 12(1). 7 indexed citations
13.
Sakuraba, Hirotake, Shukuko Yoshida, Yoichi Kakuta, et al.. (2021). Long-term efficacy and tolerability of dose-adjusted thiopurine treatment in maintaining remission in inflammatory bowel disease patients with NUDT15 heterozygosity. Intestinal Research. 20(1). 90–100. 7 indexed citations
14.
Sasaki, Yoshihiro, et al.. (2020). Anatomical classification of upper gastrointestinal organs under various image capture conditions using AlexNet. Computers in Biology and Medicine. 124. 103950–103950. 66 indexed citations
15.
16.
Mikami, Tatsuya, et al.. (2015). AN ADULT CASE OF STOMACH AMYLOIDOSIS DETECTED BY MAGNIFYING ENDOSCOPY. Acta gastro-enterologica belgica. 57(3). 223–228.
17.
Mikami, Tatsuya, Tsutomu Yoshida, M. Kikuchi, et al.. (2009). High expression of HSP47 in ulcerative colitis-associated carcinomas: proteomic approach. British Journal of Cancer. 101(3). 492–497. 33 indexed citations
18.
Mikami, Tatsuya, et al.. (2006). Duality theorem for the stochastic optimal control problem. Stochastic Processes and their Applications. 116(12). 1815–1835. 1 indexed citations
19.
Sasaki, Yoshihiro, Tatsuya Mikami, Yoh Ishiguro, et al.. (2004). Disrupted peristalsis in a patient with colonic duplication and chronic constipation. Gastrointestinal Endoscopy. 59(4). 589–592. 1 indexed citations
20.
Mikami, Tatsuya, et al.. (2000). OBSERVED PATTERNS IN THE MEAN HIGH INTENSITY DAILY MONSOON RAINFALL IN SRI LANKA. 58. 216–217. 1 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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