Saya Moriyama

4.3k citations
39 papers · 2.4k indexed · 2 hit papers · h-index 18
Topics
Immune Cell Function and Interaction (19 papers)SARS-CoV-2 and COVID-19 Research (16 papers)T-cell and B-cell Immunology (11 papers)

In The Last Decade

Saya Moriyama

37 papers receiving 2.4k citations

Hit Papers

The neuropeptide neuromedin U stimulates innate lymphoid ...201720262020202320172018100200300400

Peers

Saya Moriyama
Comparison fields: 5 of 91
  • Immunology 1.7k
  • Surgery 528
  • Physiology 322
  • Molecular Biology 295
  • Infectious Diseases 276
Replace Naomi Yudanin with:
Naomi Yudanin United States
Jesper B. Moeller Denmark
Anne-Laure Flamar United States
Takashi Senda United States
Carly G.K. Ziegler United States
Yuefeng Huang United States
Dalia Burzyn United States
Rachel Niec United States
Andrea Reboldi United States
Kim Kusser United States
Saya Moriyama relative to Naomi Yudanin United States Naomi Yudanin's profile →
Citations per field
00.5×1.6×
Naomi Yudanin · 1×
Citations per year

Countries citing papers authored by Saya Moriyama

Since Specialization
Citations

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

Fields of papers citing papers by Saya Moriyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saya Moriyama

This figure shows the co-authorship network connecting the top 25 collaborators of Saya Moriyama. A scholar is included among the top collaborators of Saya Moriyama 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 Saya Moriyama. Saya Moriyama 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 10
3 6
4 6
5 11
6 67
7 14
8 0
9 6
10 10
11 17
12 16
13 17
14 170
15 14
16
β 2 -adrenergic receptor–mediated negative regulation of group 2 innate lymphoid cell responsesbreakdown →
288
17 281
18 315
19 98
20 67

About Saya Moriyama

Saya Moriyama is a scholar working on Immunology, Infectious Diseases and Radiology, Nuclear Medicine and Imaging, having authored 39 papers that have together received 2.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (19 papers), SARS-CoV-2 and COVID-19 Research (16 papers) and T-cell and B-cell Immunology (11 papers). The work is most often cited by research in Immunology (1.7k citations), Infectious Diseases (276 citations) and Immunology and Allergy (85 citations). Saya Moriyama has collaborated with scholars based in Japan, United States and Denmark. Frequent co-authors include Tomohiro Kurosaki, David Artis, Takaharu Okada, Anne-Laure Flamar, Gregory Putzel, Tanel Mahlakõiv, Jesper B. Moeller, Christoph S. N. Klose, Kohei Kometani and Lucille C. Rankin. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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