Teruaki Murakami

426 citations
7 papers · 43 indexed · h-index 5
Topics
SARS-CoV-2 and COVID-19 Research (2 papers)T-cell and B-cell Immunology (2 papers)Cancer Immunotherapy and Biomarkers (2 papers)
Partner nations
Japan

In The Last Decade

Teruaki Murakami

7 papers receiving 43 citations

Peers

Teruaki Murakami
Comparison fields: 5 of 34
  • Immunology 14
  • Infectious Diseases 10
  • Oncology 7
  • Epidemiology 6
  • Rheumatology 6
Replace Fayna González with:
Fayna González Spain
Ana Rita Prata Portugal
Guangyu Sun China
Maxi Wass Germany
Daniel Geanon Sweden
Jo Lambert Belgium
Ryohei Suematsu Japan
Felix Mölder Germany
Clara Fischman United States
Emilia Roy‐Vallejo Spain
Teruaki Murakami relative to Fayna González Spain Fayna González's profile →
Citations per field
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Citations per year

Countries citing papers authored by Teruaki Murakami

Since Specialization
Citations

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

Fields of papers citing papers by Teruaki Murakami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teruaki Murakami

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 10
2 9
3 4
4
Automatic classification between COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy on chest X-ray image: combination of data augmentation methods in a small dataset
2
5 9
6 7
7
[Intraarterial combination immunotherapy in hepatocellular carcinoma].
2

About Teruaki Murakami

Teruaki Murakami is a scholar working on Biological Psychiatry, Hepatology and Infectious Diseases, having authored 7 papers that have together received 43 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (2 papers), T-cell and B-cell Immunology (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Health Informatics (1 citation), Immunology (14 citations) and Hepatology (5 citations). Teruaki Murakami has collaborated with scholars based in Japan. Frequent co-authors include Atsushi Kumanogoh, Yuta Yamaguchi, Yasuhiro Kato, Yukinori Okada, Shoichi Kuyama, Yuhei Kinehara, Mizuho Nishio, Shingo Noguchi, Yuichi Maeda and Masashi Narazaki. Their work appears in journals such as Proceedings of the National Academy of Sciences, International Immunology and Viruses.

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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