Hiroshi Maruyama

4.9k citations
242 papers · 3.3k · h-index 29

Impact in

Papers in

Hiroshi Maruyama

215 papers receiving 3.2k citations

Peers

Hiroshi Maruyama
Comparison fields: 5 of 177
  • Endocrinology, Diabetes and Metabolism 640
  • Oncology 471
  • Genetics 450
  • Surgery 626
  • Endocrine and Autonomic Systems 85
Replace Jan Komorowski with:
Jan Komorowski Poland
David J. Chang United States
Johan Björkegren Sweden
Naoki Nakashima Japan
Ioannis S. Vlachos Greece
Jianhua Ma China
Steven Jacobs Belgium
Xun Xu China
Richard I. Levin United States
Marco Sandri Italy
Hiroshi Maruyama relative to Jan Komorowski Poland Jan Komorowski's profile →
Citations per field
00.5×1.7×
Jan Komorowski · 1×
Citations per year

Countries citing papers authored by Hiroshi Maruyama

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Maruyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hiroshi Maruyama, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hiroshi Maruyama Line = papers co-authored together Hiroshi Maruyama links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 242 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984254
2 2012213
3 2016175
4 1997117
5 198979
6 201879
7 199178
8 199076
9 201667
10 200556
11 198655
12 197948
13 200248
14 198845
15 200244
16 198444
17 198543
18 200042
19 201641
20
XML and Java: Developing Web Applications
199941

About Hiroshi Maruyama

Hiroshi Maruyama is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics and Oncology, having authored 242 papers that have together received 3.3k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (21 papers), Diabetes and associated disorders (14 papers), Diabetes Treatment and Management (13 papers), Diabetes Management and Research (12 papers), Nonmelanoma Skin Cancer Studies (7 papers), Receptor Mechanisms and Signaling (6 papers), Pituitary Gland Disorders and Treatments (6 papers) and Natural Language Processing Techniques (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (640 citations), Oncology (471 citations), Genetics (450 citations), Surgery (626 citations) and Endocrine and Autonomic Systems (85 citations). Hiroshi Maruyama has collaborated with scholars based in Japan, United States and Pakistan. Frequent co-authors include Lelio Orci, Irving Listowsky, Roger H. Unger, Yasuhiro Fujisawa, Akitaka Hisatomi, Takao Saruta, Manabu Fujimoto, G M Grodsky, Ryota Tanaka and Yasuhiro Nakamura. Their work appears in journals such as The Journal of Dermatology, Diabetes Research and Clinical Practice, Metabolism, Japanese Journal of Clinical Oncology and Experimental Dermatology.

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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