Mitsuyoshi Suzuki

2.3k total citations
182 papers, 1.4k citations indexed

About

Mitsuyoshi Suzuki is a scholar working on Genetics, Surgery and Epidemiology. According to data from OpenAlex, Mitsuyoshi Suzuki has authored 182 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Genetics, 46 papers in Surgery and 35 papers in Epidemiology. Recurrent topics in Mitsuyoshi Suzuki's work include Genetic and phenotypic traits in livestock (50 papers), Pediatric Hepatobiliary Diseases and Treatments (20 papers) and Drug Transport and Resistance Mechanisms (19 papers). Mitsuyoshi Suzuki is often cited by papers focused on Genetic and phenotypic traits in livestock (50 papers), Pediatric Hepatobiliary Diseases and Treatments (20 papers) and Drug Transport and Resistance Mechanisms (19 papers). Mitsuyoshi Suzuki collaborates with scholars based in Japan, United States and Thailand. Mitsuyoshi Suzuki's co-authors include Toshiaki Shimizu, Keigo KUCHIDA, Shunzo MIYOSHI, Yutaka Masuda, L.D. Van Vleck, H. Abe, Yuichiro Yamashiro, Takayoshi Kawahara, Hiroshi Nittono and Satoshi Nakano and has published in prestigious journals such as Nature Communications, Gastroenterology and Scientific Reports.

In The Last Decade

Mitsuyoshi Suzuki

161 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mitsuyoshi Suzuki Japan	19	444	393	261	229	228	182	1.4k
L. Amati Italy	18	197 0.4×	256 0.7×	68 0.3×	245 1.1×	48 0.2×	44	1.3k
M. Judith Radin United States	22	235 0.5×	513 1.3×	77 0.3×	196 0.9×	54 0.2×	62	1.5k
Gan Zhao China	23	106 0.2×	147 0.4×	55 0.2×	180 0.8×	127 0.6×	69	1.7k
M. J. Fettman United States	21	219 0.5×	88 0.2×	95 0.4×	49 0.2×	346 1.5×	61	1.3k
Xin Lin China	24	117 0.3×	146 0.4×	184 0.7×	203 0.9×	57 0.3×	56	1.6k
Thomas E. Cecere United States	20	255 0.6×	97 0.2×	114 0.4×	120 0.5×	26 0.1×	48	1.3k
Lillian Maggio‐Price United States	23	403 0.9×	356 0.9×	60 0.2×	181 0.8×	9 0.0×	62	1.7k
J P Galmiche France	19	271 0.6×	659 1.7×	46 0.2×	237 1.0×	16 0.1×	39	1.5k
Kenneth J. Snibson Australia	22	106 0.2×	110 0.3×	56 0.2×	196 0.9×	41 0.2×	58	1.2k
Philip Thomas United States	22	141 0.3×	242 0.6×	15 0.1×	73 0.3×	219 1.0×	56	1.3k

Countries citing papers authored by Mitsuyoshi Suzuki

Since Specialization

Citations

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

Fields of papers citing papers by Mitsuyoshi Suzuki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuyoshi Suzuki

This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuyoshi Suzuki. A scholar is included among the top collaborators of Mitsuyoshi Suzuki 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 Mitsuyoshi Suzuki. Mitsuyoshi Suzuki 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

Kakiyama, Genta, Daniel Rodrı́guez-Agudo, Hajime Takei, et al.. (2025). Liver specific transgenic expression of CYP7B1 attenuates early western diet-induced MASLD progression. Journal of Lipid Research. 66(3). 100757–100757. 1 indexed citations

Suzuki, Mitsuyoshi, Akifumi Tokita, Muneo Inaba, et al.. (2025). Impact of Vaccination and Prior Infection on SARS-CoV-2 Viral Load in Preschool Children During the Omicron Pandemic. Vaccines. 13(8). 850–850. 1 indexed citations

Garde, Mark van der, Terumasa Umemoto, Valgarður Sigurðsson, et al.. (2024). Lipoprotein metabolism mediates hematopoietic stem cell responses under acute anemic conditions. Nature Communications. 15(1). 8131–8131.

Kondou, Hiroki, Satoshi Nakano, Tadahaya Mizuno, et al.. (2024). Clinical symptoms, biochemistry, and liver histology during the native liver period of progressive familial intrahepatic cholestasis type 2. Orphanet Journal of Rare Diseases. 19(1). 57–57.

Suzuki, Mitsuyoshi, et al.. (2023). Pediatric Pancreatic Endocrine Tumor Presenting as Acute Pancreatitis: A Case Report. Children. 10(5). 900–900. 2 indexed citations

Mizuno, Tadahaya, Seiya Mizuno, Satoshi Nakano, et al.. (2023). Intestinal Atp8b1 dysfunction causes hepatic choline deficiency and steatohepatitis. Nature Communications. 14(1). 6763–6763. 6 indexed citations

Miyata, Eri, et al.. (2022). Differentiation of Yersinia enterocolitica enteritis from other bacterial enteritides by ultrasonography: A single-center case–control study. Pediatrics & Neonatology. 63(3). 262–268. 2 indexed citations

Hayashi, Hisamitsu, Sotaro Naoi, Takao Togawa, et al.. (2017). Assessment of ATP8B1 Deficiency in Pediatric Patients With Cholestasis Using Peripheral Blood Monocyte-Derived Macrophages. EBioMedicine. 27. 187–199. 12 indexed citations

Duangjinda, Monchai, et al.. (2015). Short communication: Genetic analysis for fertility traits of heifers and cows from smallholder dairy farms in a tropical environment. Journal of Dairy Science. 98(7). 4990–4998. 20 indexed citations

10.

Masuda, Yutaka, et al.. (2014). Estimation of genetic parameters for body weight and ten body measurements at different age stages in Breton and Percheron horses. Nihon Chikusan Gakkaiho. 85(1). 1–12. 1 indexed citations

11.

Yamaguchi, Satoshi, et al.. (2010). Predicting 305-day lactation yields from early part-lactation yields in Japanese dairy cattle using multiple-trait prediction procedure. Nihon Chikusan Gakkaiho. 81(4). 401–412. 1 indexed citations

12.

Suzuki, Mitsuyoshi, et al.. (2006). Comparison of homogeneity and heterogeneity of residual variance using random regression test‐day models for first lactation Japanese Holstein cows. Animal Science Journal. 77(1). 28–32. 13 indexed citations

13.

Suzuki, Mitsuyoshi, et al.. (2006). Estimation of Heritability for Somatic Cell Score of Holstein Cows in Hokkaido. Nihon Chikusan Gakkaiho. 77(1). 1–8. 1 indexed citations

14.

Shimizu, Toshiaki, et al.. (2005). Factors involved in the regulation of plasma leptin levels in children and adolescents with anorexia nervosa. Pediatrics International. 47(2). 154–158. 17 indexed citations

15.

KUCHIDA, Keigo, et al.. (2004). . Nihon Chikusan Gakkaiho. 75(1). 53–60. 9 indexed citations

16.

Shimizu, Toshiaki, Mitsuyoshi Suzuki, Junya Fujimura, et al.. (2003). The Relationship Between the Concentration of Dextran Sodium Sulfate and the Degree of Induced Experimental Colitis in Weanling Rats. Journal of Pediatric Gastroenterology and Nutrition. 37(4). 481–486. 1 indexed citations

17.

KUCHIDA, Keigo, et al.. (2001). Prediction of Beef Color Standard Number from Digital Image Obtained by Using Photographing Equipment for the Cross Section of Carcass. Nihon Chikusan Gakkaiho. 72(9). 321–328. 6 indexed citations

18.

Suzuki, Mitsuyoshi. (1999). Germinability of main upland weed seeds buried in paddy fields.. Journal of Weed Science and Technology. 44(1). 80–83. 3 indexed citations

19.

KUCHIDA, Keigo, et al.. (1997). Computer Image Analysis Method for Evaluation of Marbling of Rib-Eye Area. Nihon Chikusan Gakkaiho. 68(9). 878–882. 4 indexed citations

20.

Suzuki, Mitsuyoshi, et al.. (1975). Emergence of Weeds in Paddy Rice Fields. Journal of Weed Science and Technology. 20(3). 109–113. 2 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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