I Maruyama

42 papers receiving 704 citations

Peers

I Maruyama
Comparison fields: 5 of 89
  • Internal Medicine 38
  • Clinical Biochemistry 71
  • Hematology 87
  • Pharmacology 66
  • Pharmacology 121
Replace Joost Daalhuisen with:
Joost Daalhuisen Netherlands
Yu‐Shien Ko Taiwan
J. F. Hallpike United Kingdom
N. F. Voelkel United States
Tarja Kunnas Finland
Jumana Saleh Oman
Thomas Gobbetti United Kingdom
Piper Pj United Kingdom
Takio HAYASHI Japan
Xiao Li China
I Maruyama relative to Joost Daalhuisen Netherlands Joost Daalhuisen's profile →
Citations per field
00.5×4.8×
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 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006161
2 199797
3 200394
4 199753
5 200650
6
Increased circulating vascular endothelial growth factor is correlated with disease activity in polyarticular juvenile rheumatoid arthritis.
199945
7 199942
8 199418
9 199216
10 198412
11 199612
12
Expression of Thrombomodulin in the epithelium of the urinary bladder: a possible source of urinary thrombomodulin.
199911
13 198910
14 199610
15 198410
16 19819
17 19839
18 19978
19
[Two cases of POEMS syndrome with increased vascular endothelial growth factor (VEGF)].
19978
20 19876

About I Maruyama

I Maruyama is a scholar working on Molecular Biology, Hematology, Pharmacology, Cellular and Molecular Neuroscience and Physiology, having authored 42 papers that have together received 739 indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (3 papers), Spaceflight effects on biology (3 papers), Biochemical Analysis and Sensing Techniques (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Vasculitis and related conditions (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Olfactory and Sensory Function Studies (2 papers) and Cannabis and Cannabinoid Research (2 papers). The work is most often cited by research in Internal Medicine (38 citations), Clinical Biochemistry (71 citations), Hematology (87 citations), Pharmacology (66 citations) and Pharmacology (121 citations). I Maruyama has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Krishna Pada Sarker, Koichi Kawahara, Kazuhiro Abeyama, Teruto Hashiguchi, Tetsuya Nakamura, Takashi Ito, T. Nakamura, Shingo Yamada, Kazutaka Momose and Isao Kitajima. Their work appears in journals such as European Journal of Pharmacology, FEBS Letters, Journal of Thrombosis and Haemostasis, Journal of Applied Physiology and Thrombosis and Haemostasis.

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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