I Maruyama

45 papers receiving 736 citations

Peers

I Maruyama
Comparison fields: 5 of 93
  • Internal Medicine 50
  • Clinical Biochemistry 80
  • Hematology 102
  • Pharmacology 70
  • Pharmacology 126
Replace Joost Daalhuisen with:
Joost Daalhuisen Netherlands
Shu Fang Liu United States
Xiaobing Ye China
Yu‐Shien Ko Taiwan
Maria Montana Italy
E. B. Reeve United States
Tarja Kunnas Finland
N. F. Voelkel United States
Ying Yu China
J. F. Hallpike United Kingdom
I Maruyama relative to Joost Daalhuisen Netherlands Joost Daalhuisen's profile →
Citations per field
00.5×4.2×
Joost Daalhuisen · 1×
Citations per year

Countries citing papers authored by I Maruyama

Since Specialization
Citations

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

Fields of papers citing papers by I Maruyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside I 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 I Maruyama Line = papers co-authored together I Maruyama links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006154
2 199796
3 200391
4 199751
5 200650
6 199942
7
Increased circulating vascular endothelial growth factor is correlated with disease activity in polyarticular juvenile rheumatoid arthritis.
199942
8 199941
9 198714
10 199612
11 199212
12 199410
13 199610
14 19899
15 19839
16
Expression of Thrombomodulin in the epithelium of the urinary bladder: a possible source of urinary thrombomodulin.
19999
17 19849
18 19849
19 19978
20 19818

About I Maruyama

I Maruyama is a scholar working on Molecular Biology, Hematology, Pharmacology, Cellular and Molecular Neuroscience and Surgery, having authored 45 papers that have together received 760 indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (4 papers), Biochemical Analysis and Sensing Techniques (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Spaceflight effects on biology (3 papers), Liver Disease and Transplantation (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers) and Cannabis and Cannabinoid Research (2 papers). The work is most often cited by research in Internal Medicine (50 citations), Clinical Biochemistry (80 citations), Hematology (102 citations), Pharmacology (70 citations) and Pharmacology (126 citations). I Maruyama has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Krishna Pada Sarker, Shingo Yamada, Kazuhiro Abeyama, Takashi Ito, Teruto Hashiguchi, Tetsuya Nakamura, T. Nakamura, Koichi Kawahara, Isao Kitajima and Kazutaka Momose. Their work appears in journals such as European Journal of Pharmacology, FEBS Letters, Journal of Applied Physiology, Journal of Thrombosis and Haemostasis and Blood Coagulation & Fibrinolysis.

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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