Yoshiro Maru

6.8k citations
89 papers · 5.4k indexed · 2 hit papers · h-index 35
Topics
S100 Proteins and Annexins (15 papers)Angiogenesis and VEGF in Cancer (14 papers)Chronic Myeloid Leukemia Treatments (13 papers)
Partner nations
JapanUnited StatesFrance

In The Last Decade

Yoshiro Maru

89 papers receiving 5.2k citations

Hit Papers

Tumour-mediated upregulation of chemoattractants and recr...200620262012201920062008250500750

Peers

Yoshiro Maru
Comparison fields: 5 of 118
  • Molecular Biology 3.3k
  • Oncology 1.5k
  • Immunology 1.2k
  • Cancer Research 900
  • Cellular and Molecular Neuroscience 670
Replace Masabumi Shibuya with:
Masabumi Shibuya Japan
Thomas O. Daniel United States
Kurt Bommert Germany
Leigh Coultas Australia
Noboru Motoyama Japan
W. J. Pledger United States
T Sudo Japan
Giuseppe Viglietto Italy
Grazia Ambrosini United States
Anna‐Karin Olsson Sweden
Yoshiro Maru relative to Masabumi Shibuya Japan Masabumi Shibuya's profile →
Citations per field
00.5×1.5×1.8×
Masabumi Shibuya · 1×
Citations per year

Countries citing papers authored by Yoshiro Maru

Since Specialization
Citations

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

Fields of papers citing papers by Yoshiro Maru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoshiro Maru

This figure shows the co-authorship network connecting the top 25 collaborators of Yoshiro Maru. A scholar is included among the top collaborators of Yoshiro Maru 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 Yoshiro Maru. Yoshiro Maru 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 12
2 22
3 14
4 13
5 49
6 6
7 9
8 96
9 14
10 33
11 2
12 9
13
The S100A8–serum amyloid A3–TLR4 paracrine cascade establishes a pre-metastatic phasebreakdown →
513
14 11
15 19
16 15
17
Arg tyrosine kinase is involved in homologous recombinational DNA repair
14
18 35
19 14
20 78

About Yoshiro Maru

Yoshiro Maru is a scholar working on Hematology, Immunology and Allergy and Immunology, having authored 89 papers that have together received 5.4k indexed citations. Recurring topics across this work include S100 Proteins and Annexins (15 papers), Angiogenesis and VEGF in Cancer (14 papers) and Chronic Myeloid Leukemia Treatments (13 papers). The work is most often cited by research in Cancer Research (900 citations), Immunology (1.2k citations) and Hematology (652 citations). Yoshiro Maru has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Sachie Hiratsuka, Akira Watanabe, Hiroyuki Aburatani, Owen N. Witte, Masabumi Shibuya, Fumimaro Takaku, Fujiko Tsukahara, Hisamaru Hirai, Junji Nishida and Koichi Hagiwara. Their work appears in journals such as Nature, Science and Cell.

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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