Fusayuki Omori

553 citations
36 papers · 458 indexed · h-index 13
Topics
Immune Response and Inflammation (7 papers)Virus-based gene therapy research (4 papers)Blood disorders and treatments (4 papers)
Partner nations
JapanCanadaUnited States

In The Last Decade

Fusayuki Omori

34 papers receiving 446 citations

Peers

Fusayuki Omori
Comparison fields: 5 of 74
  • Immunology 177
  • Oncology 114
  • Molecular Biology 106
  • Genetics 91
  • Hematology 81
Replace Laura Horváth with:
Laura Horváth Hungary
Takafumi Okuno Japan
A Meager United Kingdom
G. P. Sandilands United Kingdom
Annie Soulié France
R.J. Hartzman United States
Gloria Yang United States
Susan D. Mertins United States
A. Wölpl Germany
L Legrand France
Fusayuki Omori relative to Laura Horváth Hungary Laura Horváth's profile →
Citations per field
00.5×1.5×1.8×
Laura Horváth · 1×
Citations per year

Countries citing papers authored by Fusayuki Omori

Since Specialization
Citations

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

Fields of papers citing papers by Fusayuki Omori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fusayuki Omori

This figure shows the co-authorship network connecting the top 25 collaborators of Fusayuki Omori. A scholar is included among the top collaborators of Fusayuki Omori 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 Fusayuki Omori. Fusayuki Omori 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 17
2 0
3 12
4 7
5 19
6 6
7
A traditional chinese herbal medicine, juzen-taiho-to augments the production of granulocyte/macrophage colony-stimulating factor from human peripheral blood mononuclear cells in vitro
18
8 4
9 7
10 39
11 2
12 13
13 17
14 6
15 45
16 15
17 6
18 6
19 21
20 7

About Fusayuki Omori

Fusayuki Omori is a scholar working on Immunology, Hematology and Microbiology, having authored 36 papers that have together received 458 indexed citations. Recurring topics across this work include Immune Response and Inflammation (7 papers), Virus-based gene therapy research (4 papers) and Blood disorders and treatments (4 papers). The work is most often cited by research in Immunology (177 citations), Hematology (81 citations) and Microbiology (33 citations). Fusayuki Omori has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Yoshiyuki Niho, Kazuya Shimoda, Seiichi Okamura, S Okamura, Y Niho, Shin Hayashi, Kowichi Jimbow, Tetsuya Matsuguchi, Mine Harada and Takeshi Otsuka. Their work appears in journals such as Blood, Journal of Investigative Dermatology and Journal of the American Academy of Dermatology.

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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