Masaru Harada

17.9k total citations
198 papers, 4.0k citations indexed

About

Masaru Harada is a scholar working on Epidemiology, Surgery and Oncology. According to data from OpenAlex, Masaru Harada has authored 198 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Epidemiology, 46 papers in Surgery and 41 papers in Oncology. Recurrent topics in Masaru Harada's work include Liver Disease Diagnosis and Treatment (31 papers), Trace Elements in Health (21 papers) and Endoplasmic Reticulum Stress and Disease (16 papers). Masaru Harada is often cited by papers focused on Liver Disease Diagnosis and Treatment (31 papers), Trace Elements in Health (21 papers) and Endoplasmic Reticulum Stress and Disease (16 papers). Masaru Harada collaborates with scholars based in Japan, United States and Canada. Masaru Harada's co-authors include Michio Sata, Hironori Koga, M. Bishr Omary, Takumi Kawaguchi, Eitaro Taniguchi, Shinichiro Hanada, Yuichi Honma, Takato Ueno, Shotaro Sakisaka and Hiroto Kumemura and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

In The Last Decade

Masaru Harada

177 papers receiving 3.9k citations

Peers

Masaru Harada
Comparison fields: 5 of 127
  • Epidemiology 1.3k
  • Molecular Biology 1.1k
  • Hepatology 802
  • Cell Biology 660
  • Surgery 655
Replace Hironori Koga with:
Hironori Koga Japan
Shotaro Sakisaka Japan
Osama N. El‐Assal United States
Tian Lan China
Takato Ueno Japan
Erica Novo Italy
Wolfgang E. Thasler Germany
Eitaro Taniguchi Japan
Bryan L. Copple United States
Guobin He United States
Hironori Koga Japan View profile →
Citations per field, relative to Masaru Harada
Masaru Harada · 1×
Citations per year, relative to Masaru Harada
Masaru Harada · 1×

Countries citing papers authored by Masaru Harada

Since Specialization
Citations

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

Fields of papers citing papers by Masaru Harada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaru Harada

This figure shows the co-authorship network connecting the top 25 collaborators of Masaru Harada. A scholar is included among the top collaborators of Masaru Harada 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 Masaru Harada. Masaru Harada 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
# Work Indexed citations
1 0
2 2
3 0
4 0
5 1
6 1
7 6
8
Associations of Serum Cytokines, Growth Factors, and High-Sensitivity C-Reactive Protein Levels in Patients with Major Depression with and without Type 2 Diabetes Mellitus: An Explanatory Investigation
5
9 26
10 9
11
A CASE OF SUBMUCOSAL HEMATOMA OF THE COLON : A COMPLICATION OF DABIGATRAN THERAPY
1
12 1
13 14
14 0
15 0
16 22
17
MEFV mutation analysis of familial Mediterranean fever in Japan.
42
18 15
19 2
20 2

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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