Toru Maruyama

7.4k citations
183 papers · 6.0k indexed · 1 hit paper · h-index 41
Topics
Protein Interaction Studies and Fluorescence Analysis (65 papers)Drug Transport and Resistance Mechanisms (35 papers)Hemoglobin structure and function (34 papers)
Partner nations
JapanAustraliaDenmark

In The Last Decade

Toru Maruyama

179 papers receiving 5.9k citations

Hit Papers

Albumin–drug interaction and its clinical implication20132026201720212013100200300

Peers

Toru Maruyama
Comparison fields: 5 of 147
  • Molecular Biology 3.6k
  • Oncology 1.2k
  • Cell Biology 852
  • Physiology 645
  • Biomaterials 626
Replace Ulrich Kragh‐Hansen with:
Ulrich Kragh‐Hansen Denmark
Victor Tuan Giam Chuang Japan
Ernst Malle Austria
Jian Wang China
Xin Chen China
Billy W. Day United States
Pierluigi Mauri Italy
Luyong Zhang China
Gulam Rabbani India
Jiřı́ Neužil Australia
Toru Maruyama relative to Ulrich Kragh‐Hansen Denmark Ulrich Kragh‐Hansen's profile →
Citations per field
00.5×3.2×
Ulrich Kragh‐Hansen · 1×
Citations per year

Countries citing papers authored by Toru Maruyama

Since Specialization
Citations

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

Fields of papers citing papers by Toru Maruyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toru Maruyama

This figure shows the co-authorship network connecting the top 25 collaborators of Toru Maruyama. A scholar is included among the top collaborators of Toru Maruyama 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 Toru Maruyama. Toru Maruyama 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
#WorkIndexed citations
1 1
2 2
3 22
4 8
5 4
6 21
7 21
8 23
9 26
10 1
11 3
12 31
13 1
14 116
15 187
16 52
17 40
18 48
19 251
20 194

About Toru Maruyama

Toru Maruyama is a scholar working on Cell Biology, Molecular Biology and Nephrology, having authored 183 papers that have together received 6.0k indexed citations. Recurring topics across this work include Protein Interaction Studies and Fluorescence Analysis (65 papers), Drug Transport and Resistance Mechanisms (35 papers) and Hemoglobin structure and function (34 papers). The work is most often cited by research in Molecular Biology (3.6k citations), Nephrology (373 citations) and Cell Biology (852 citations). Toru Maruyama has collaborated with scholars based in Japan, Australia and Denmark. Frequent co-authors include Masaki Otagiri, Keishi Yamasaki, Hiroshi Watanabe, Victor Tuan Giam Chuang, Ulrich Kragh‐Hansen, Makoto Anraku, Kazuaki Taguchi, Yu Ishima, Keisuke Nakajou and Yuki Enoki. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and PLoS ONE.

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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