Yuya Seko

6.1k total citations · 2 hit papers
114 papers, 3.5k citations indexed

About

Yuya Seko is a scholar working on Epidemiology, Hepatology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Yuya Seko has authored 114 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Epidemiology, 62 papers in Hepatology and 26 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Yuya Seko's work include Liver Disease Diagnosis and Treatment (74 papers), Hepatitis C virus research (28 papers) and Hepatocellular Carcinoma Treatment and Prognosis (25 papers). Yuya Seko is often cited by papers focused on Liver Disease Diagnosis and Treatment (74 papers), Hepatitis C virus research (28 papers) and Hepatocellular Carcinoma Treatment and Prognosis (25 papers). Yuya Seko collaborates with scholars based in Japan, United States and Hong Kong. Yuya Seko's co-authors include Yoshito Itoh, Yusuke Kawamura, Hiromitsu Kumada, Tetsuya Hosaka, Masahiro Kobayashi, Norio Akuta, Yoshiyuki Suzuki, Yasuji Arase, Fumitaka Suzuki and Hitomi Sezaki and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Yuya Seko

111 papers receiving 3.4k citations

Hit Papers

align trajectories

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.

Association Between Fibrosis Stage and Outcomes of Patients With Nonalcoholic Fatty Liver Disease: A Systematic Review and Meta-Analysis

2020 681 citations Hidenori Toyoda, Vincent Wai‐Sun Wong et al. profile →
Long-term entecavir treatment reduces hepatocellular carcinoma incidence in patients with hepatitis B virus infection

2012 518 citations Tetsuya Hosaka, Fumitaka Suzuki et al. Hepatology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuya Seko Japan	28	2.8k	1.9k	872	446	438	114	3.5k
Nobuharu Tamaki Japan	34	2.7k 1.0×	2.2k 1.1×	458 0.5×	395 0.9×	348 0.8×	156	3.7k
Michelle Lai United States	23	2.1k 0.8×	1.5k 0.8×	631 0.7×	712 1.6×	435 1.0×	54	2.8k
Vlad Ratziu France	27	2.6k 0.9×	1.6k 0.8×	890 1.0×	437 1.0×	883 2.0×	68	3.7k
Veeral Ajmera United States	28	2.5k 0.9×	1.2k 0.6×	893 1.0×	358 0.8×	425 1.0×	70	3.0k
Raluca Pais France	21	1.9k 0.7×	865 0.4×	793 0.9×	332 0.7×	295 0.7×	59	2.3k
Svanhildur Hafliðadóttir Norway	6	2.6k 0.9×	1.6k 0.8×	905 1.0×	364 0.8×	204 0.5×	8	2.7k
Janet C. Shaw United States	7	1.9k 0.7×	825 0.4×	855 1.0×	496 1.1×	281 0.6×	9	2.4k
Abdullah Al‐Osaimi United States	21	1.8k 0.6×	1.2k 0.6×	552 0.6×	627 1.4×	266 0.6×	42	2.3k
Goh Eun Chung South Korea	28	1.7k 0.6×	932 0.5×	744 0.9×	674 1.5×	301 0.7×	137	3.0k
Sanne Dam‐Larsen Denmark	9	2.7k 1.0×	1.5k 0.8×	1.1k 1.2×	391 0.9×	226 0.5×	15	2.9k

Countries citing papers authored by Yuya Seko

Since Specialization

Citations

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

Fields of papers citing papers by Yuya Seko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuya Seko

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

All Works

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20 of 20 papers shown

Seko, Yuya, Kanji Yamaguchi, Toshihide Shima, et al.. (2024). Prognostic performance of a two‐step method using the Fibro‐Scope system for metabolic dysfunction‐associated steatotic liver disease. Hepatology Research. 55(2). 211–218. 1 indexed citations

Seko, Yuya, Huapeng Lin, Vincent Wai‐Sun Wong, & Takeshi Okanoue. (2024). Impact of PNPLA3 in Lean Individuals and in Cryptogenic Steatotic Liver Disease. Liver International. 45(4). e16164–e16164. 6 indexed citations

Danpanichkul, Pojsakorn, Majd B. Aboona, Kwanjit Duangsonk, et al.. (2024). Incidence of liver cancer in young adults according to the Global Burden of Disease database 2019. Hepatology. 80(4). 828–843. 27 indexed citations

Danpanichkul, Pojsakorn, Cheng Han Ng, Phuuwadith Wattanachayakul, et al.. (2024). The Burden of Overweight and Obesity-Associated Gastrointestinal Cancers in Low and Lower-Middle-Income Countries: A Global Burden of Disease 2019 Analysis. The American Journal of Gastroenterology. 119(6). 1177–1180. 21 indexed citations

Yamaguchi, Kanji, Yusuke Takahashi, Hiroshi Ishiba, et al.. (2024). Hepatocyte-specific GDF15 overexpression improves high-fat diet-induced obesity and hepatic steatosis in mice via hepatic FGF21 induction. Scientific Reports. 14(1). 23993–23993. 7 indexed citations

Seko, Yuya, Kanji Yamaguchi, Toshihide Shima, et al.. (2024). Clinical Utility of Genetic Variants in PNPLA3 and TM6SF2 to Predict Liver‐Related Events in Metabolic Dysfunction‐Associated Steatotic Liver Disease. Liver International. 45(4). e16124–e16124. 6 indexed citations

Doi, Toshifumi, Takeshi Ishikawa, Junichirô Itani, et al.. (2024). Real‐world genome profiling in Japanese patients with pancreatic ductal adenocarcinoma focusing on HRD implications. Cancer Science. 115(11). 3729–3739. 2 indexed citations

Okanoue, Takeshi, Kanji Yamaguchi, Toshihide Shima, et al.. (2023). Artificial intelligence/neural network system that accurately diagnoses hepatocellular carcinoma in nonalcoholic steatohepatitis. Hepatology Research. 53(12). 1213–1223. 3 indexed citations

Seko, Yuya, Kanji Yamaguchi, Toshihide Shima, et al.. (2023). The greater impact of PNPLA3 polymorphism on liver‐related events in Japanese non‐alcoholic fatty liver disease patients: A multicentre cohort study. Liver International. 43(10). 2210–2219. 21 indexed citations

10.

Yamaguchi, Kanji, Yuya Seko, Takamitsu Sakai, et al.. (2023). Comparison of portal vein hemodynamics with ultrasound-based elastography for the prediction of liver fibrosis in patients with chronic liver disease. Scientific Reports. 13(1). 3425–3425. 3 indexed citations

11.

Umemura, Atsushi, Seita Kataoka, Yuya Seko, et al.. (2022). Potential Therapeutic Targets and Promising Agents for Combating NAFLD. Biomedicines. 10(4). 901–901. 10 indexed citations

12.

Kamada, Yoshihiro, Hirokazu Takahashi, Masahito Shimizu, et al.. (2021). Clinical practice advice on lifestyle modification in the management of nonalcoholic fatty liver disease in Japan: an expert review. Journal of Gastroenterology. 56(12). 1045–1061. 28 indexed citations

13.

Yamaguchi, Kanji, Yuya Seko, Hiroshi Ishiba, et al.. (2021). Hepatocyte-specific fibroblast growth factor 21 overexpression ameliorates high-fat diet-induced obesity and liver steatosis in mice. Laboratory Investigation. 102(3). 281–289. 42 indexed citations

14.

Umemura, Atsushi, S Umemura, Seita Kataoka, et al.. (2021). Honokiol Prevents Non-Alcoholic Steatohepatitis-Induced Liver Cancer via EGFR Degradation through the Glucocorticoid Receptor—MIG6 Axis. Cancers. 13(7). 1515–1515. 17 indexed citations

15.

Seko, Yuya, Kanji Yamaguchi, Nozomi Tochiki, et al.. (2021). The Effect of Genetic Polymorphism in Response to Body Weight Reduction in Japanese Patients with Nonalcoholic Fatty Liver Disease. Genes. 12(5). 628–628. 11 indexed citations

16.

Yaku, Hidenori, Yuya Seko, Takao Kato, Takeshi Morimoto, & Takeshi Kimura. (2020). Prognostic Implications of Residual Pleural Effusions at Discharge in Patients with Acute Decompensated Heart Failure. European Journal of Internal Medicine. 85. 133–135. 4 indexed citations

17.

Sumida, Yoshio, Masashi Yoneda, Yuya Seko, et al.. (2020). Surveillance of Hepatocellular Carcinoma in Nonalcoholic Fatty Liver Disease. Diagnostics. 10(8). 579–579. 23 indexed citations

18.

Seko, Yuya, Yusuke Morita, Eisaku Nakane, et al.. (2019). Association of the low e′ and high E/e′ with long-term outcomes in patients with normal ejection fraction: a hospital population-based observational cohort study. BMJ Open. 9(11). e032663–e032663. 10 indexed citations

19.

Imai, Norihiro, Kenji Ikeda, Yuya Seko, et al.. (2011). [Transcatheter arterial chemotherapy with miriplatin for patients with hepatocellular carcinoma and chronic renal failure].. PubMed. 108(11). 1872–8. 2 indexed citations

20.

Imai, Norihiro, Kenji Ikeda, Yuya Seko, et al.. (2010). Transcatheter arterial chemotherapy with miriplatin for patients with hepatocellular carcinoma and Child-Pugh B liver cirrhosis. Kanzo. 51(12). 758–760. 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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