Mayumi Maeda

1.6k total citations
9 papers, 229 citations indexed

About

Mayumi Maeda is a scholar working on Epidemiology, Hepatology and Pathology and Forensic Medicine. According to data from OpenAlex, Mayumi Maeda has authored 9 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 3 papers in Hepatology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Mayumi Maeda's work include Liver Disease Diagnosis and Treatment (5 papers), Liver Disease and Transplantation (2 papers) and Microbial Metabolites in Food Biotechnology (1 paper). Mayumi Maeda is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), Liver Disease and Transplantation (2 papers) and Microbial Metabolites in Food Biotechnology (1 paper). Mayumi Maeda collaborates with scholars based in Japan, United States and Spain. Mayumi Maeda's co-authors include Etsushi KANEKO, Takashi Shimizu, Dieter Schams, Mindie H. Nguyen, Motozumi Matsui, Akio Miyamoto, Katsuya KIDA, Chiho KAWASHIMA, Yoh-Ichi MIYAKE and Keisuke Hamasaki and has published in prestigious journals such as PLoS ONE, The American Journal of Gastroenterology and Reproduction.

In The Last Decade

Mayumi Maeda

8 papers receiving 217 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mayumi Maeda Japan	6	107	83	72	50	46	9	229
Dawn Piercy United States	4	194 1.8×	3 0.0×	108 1.5×	47 0.9×	11 0.2×	8	234
W. J. Biewenga Netherlands	10	14 0.1×	10 0.1×	41 0.6×	10 0.2×	21 0.5×	18	270
Evanthia Tourkochristou Greece	7	92 0.9×	3 0.0×	12 0.2×	52 1.0×	25 0.5×	13	208
Sean J. Delaney United States	9	19 0.2×	5 0.1×	5 0.1×	11 0.2×	48 1.0×	24	241
Lynsey Corless United Kingdom	7	113 1.1×	2 0.0×	39 0.5×	101 2.0×	9 0.2×	23	284
S.D. Keay United Kingdom	11	53 0.5×	29 0.3×	37 0.5×	1 0.0×	14 0.3×	16	393
Lisa Lindheim Austria	5	26 0.2×	10 0.1×	38 0.5×	2 0.0×	11 0.2×	7	393
Claudia Ojeda‐Granados Mexico	11	122 1.1×	1 0.0×	61 0.8×	62 1.2×	86 1.9×	26	292
Katarzyna Dembek United States	8	18 0.2×	36 0.4×	46 0.6×	1 0.0×	37 0.8×	22	247
Karina González-Aldaco Mexico	12	162 1.5×	1 0.0×	44 0.6×	124 2.5×	52 1.1×	21	305

Countries citing papers authored by Mayumi Maeda

Since Specialization

Citations

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

Fields of papers citing papers by Mayumi Maeda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayumi Maeda

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

All Works

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9 of 9 papers shown

Maeda, Mayumi, Jun Yoshikawa, Sayuri Akuzawa, et al.. (2024). Flavor assessment of a lactic fermented vinegar described in Japanese books from the Edo period (1603–1867). Heliyon. 10(11). e32344–e32344. 3 indexed citations

Nguyen, Vy H., Ashley Fong, Jung Eun Park, et al.. (2023). Differences in liver and mortality outcomes of non-alcoholic fatty liver disease by race and ethnicity: A longitudinal real-world study. Clinical and Molecular Hepatology. 29(4). 1002–1012. 16 indexed citations

Nguyen, Vy H., Ashley Fong, Jung Eun Park, et al.. (2023). Differential Mortality Outcomes in Real-world Patients with Lean, Nonobese, and Obese Nonalcoholic Fatty Liver Disease. Journal of Clinical and Translational Hepatology. 11(7). 1448–1454. 3 indexed citations

Yoshikawa, Jun, Minenosuke Matsutani, Mayumi Maeda, Yutaka Kashiwagi, & Kenji Maehashi. (2022). De novo genome assembly and analysis of Zalaria sp. Him3, a novel fructooligosaccharides producing yeast. BMC Genomic Data. 23(1). 78–78.

Hayashida, Masaki, et al.. (2021). Personality traits and BMI trends over three years in Japanese university students. PLoS ONE. 16(3). e0248833–e0248833. 7 indexed citations

Huang, Daniel Q., Joseph Hoang, Jennifer Leong, et al.. (2021). Differential characteristics and outcomes of Asian and non‐Asian patients with HBV‐related hepatocellular carcinoma. Liver International. 41(8). 1922–1932. 20 indexed citations

Le, Michael H., et al.. (2020). Validity of International Classification of Diseases, Tenth Revision, Codes for Cirrhosis. Digestive Diseases. 39(3). 243–246. 25 indexed citations

KAWASHIMA, Chiho, Mayumi Maeda, Etsushi KANEKO, et al.. (2007). Relationship between metabolic hormones and ovulation of dominant follicle during the first follicular wave post-partum in high-producing dairy cows. Reproduction. 133(1). 155–163. 89 indexed citations

Nakao, Kazuhiko, Keisuke Nakata, Mayumi Maeda, et al.. (2002). Association Between Nonalcoholic Fatty Liver, Markers of Obesity, and Serum Leptin Level in Young Adults. The American Journal of Gastroenterology. 97(7). 1796–1801. 66 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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