Shiori Haga

902 citations
9 papers · 694 indexed · 1 hit paper · h-index 8
Topics
SARS-CoV-2 and COVID-19 Research (2 papers)Synthesis and Properties of Aromatic Compounds (2 papers)Pulmonary Hypertension Research and Treatments (2 papers)
Partner nations
JapanChina

In The Last Decade

Shiori Haga

9 papers receiving 685 citations

Hit Papers

Modulation of TNF-α-converting enzyme by the spike protei...20082026201420202008100200300400

Peers

Shiori Haga
Comparison fields: 5 of 73
  • Infectious Diseases 453
  • Neurology 188
  • Molecular Biology 120
  • Cardiology and Cardiovascular Medicine 87
  • Immunology 71
Replace Bandar A. Suliman with:
Bandar A. Suliman Saudi Arabia
Ao Jiang China
Brendan Putko Canada
Shuba Krishnan Sweden
Jorge Hernández‐Bello Mexico
Wenqing Yin United States
Caroline Busatta Vaz de Paula Brazil
Yuhuan Xu China
Zsolt Fejes Hungary
Shiori Haga relative to Bandar A. Suliman Saudi Arabia Bandar A. Suliman's profile →
Citations per field
00.5×4.0×
Bandar A. Suliman · 1×
Citations per year

Countries citing papers authored by Shiori Haga

Since Specialization
Citations

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

Fields of papers citing papers by Shiori Haga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiori Haga

This figure shows the co-authorship network connecting the top 25 collaborators of Shiori Haga. A scholar is included among the top collaborators of Shiori Haga 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 Shiori Haga. Shiori Haga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 7
2 10
3 23
4 33
5 76
6 104
7
Modulation of TNF-α-converting enzyme by the spike protein of SARS-CoV and ACE2 induces TNF-α production and facilitates viral entrybreakdown →
413
8 27
9 1

About Shiori Haga

Shiori Haga is a scholar working on Toxicology, Rheumatology and Endocrinology, Diabetes and Metabolism, having authored 9 papers that have together received 694 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (2 papers), Synthesis and Properties of Aromatic Compounds (2 papers) and Pulmonary Hypertension Research and Treatments (2 papers). The work is most often cited by research in Infectious Diseases (453 citations), Neurology (188 citations) and Cardiology and Cardiovascular Medicine (87 citations). Shiori Haga has collaborated with scholars based in Japan and China. Frequent co-authors include Yukihito Ishizaka, Takehiko Sasazuki, Tetsutaro Sata, Norio Yamamoto, Naoki Yamamoto, Chikako Nakai-Murakami, Yoshiaki Osawa, Kenzo Tokunaga, Akio Mimori and Yuko Takahashi. Their work appears in journals such as Proceedings of the National Academy of Sciences, International Journal of Cancer and Organic Letters.

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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