Motohiro Takeya

1.1k citations
18 papers · 853 indexed · h-index 13

Motohiro Takeya

18 papers receiving 842 citations

Peers

Motohiro Takeya
Comparison fields: 5 of 83
  • Immunology 405
  • Immunology and Allergy 77
  • Oncology 216
  • Neurology 65
  • Hepatology 47
Replace Pierre Guillot with:
Pierre Guillot Germany
Alexander Rosendahl Sweden
Marı́a J. Calzada Spain
Kimito Kawahata Japan
Peter Giles United Kingdom
Shinichiro Mine Japan
Mitsuho Onimaru Japan
Jolien Suurmond Netherlands
Wenxin Huang Sweden
Dwight Naime United States
Motohiro Takeya relative to Pierre Guillot Germany Pierre Guillot's profile →
Citations per field
00.5×1.7×
Pierre Guillot · 1×
Citations per year

Countries citing papers authored by Motohiro Takeya

Since Specialization
Citations

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

Fields of papers citing papers by Motohiro Takeya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 200141
2 19996
3 199859
4 199724
5 199654
6
Immunohistochemistry of new type I alveolar epithelial cell markers of the rat.
19965
7 1996161
8 19963
9
Expression of inducible nitric oxide synthase and its involvement in pulmonary granulomatous inflammation in rats.
199656
10 199630
11 199482
12
Tumor-derived monocyte chemoattractant protein-1 induces intratumoral infiltration of monocyte-derived macrophage subpopulation in transplanted rat tumors.
1994118
13 199313
14 199343
15
Immunohistochemical, quantitative immunoelectron microscopic, and DNA cytofluorometric characterization of chemically induced rat malignant fibrous histiocytoma.
199311
16 19914
17 1991115
18 199128

About Motohiro Takeya

Motohiro Takeya is a scholar working on Immunology, Oncology and Hematology, having authored 18 papers that have together received 853 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (3 papers), Sarcoma Diagnosis and Treatment (3 papers), Vascular Tumors and Angiosarcomas (2 papers), T-cell and Retrovirus Studies (2 papers), Virus-based gene therapy research (2 papers), Immune Cell Function and Interaction (2 papers), Peptidase Inhibition and Analysis (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Immunology (405 citations), Immunology and Allergy (77 citations) and Oncology (216 citations). Motohiro Takeya has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Teizo Yoshimura, Kiyoshi Takahashi, Makoto Naito, Kiyoshi Takahashi, Y Ushio, Toru Nishi, Koichi Takahashi, Shigeo Yamashiro, J. Kuratsu and Yukitaka Ushio. Their work appears in journals such as Hepatology, Brain Research and Biochemical and Biophysical Research Communications.

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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