Ippei Sakamaki

1.1k total citations
48 papers, 746 citations indexed

About

Ippei Sakamaki is a scholar working on Infectious Diseases, Epidemiology and Immunology. According to data from OpenAlex, Ippei Sakamaki has authored 48 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Infectious Diseases, 11 papers in Epidemiology and 10 papers in Immunology. Recurrent topics in Ippei Sakamaki's work include SARS-CoV-2 and COVID-19 Research (11 papers), COVID-19 Clinical Research Studies (11 papers) and Immunotherapy and Immune Responses (7 papers). Ippei Sakamaki is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (11 papers), COVID-19 Clinical Research Studies (11 papers) and Immunotherapy and Immune Responses (7 papers). Ippei Sakamaki collaborates with scholars based in Japan, United States and Vietnam. Ippei Sakamaki's co-authors include Hong Qin, Larry W. Kwak, Yoshihiro Yamamoto, Hitoshi Kawasuji, Akitoshi Ueno, Yuki Miyajima, Qing Yi, Guo‐Wei Wei, Karen C. Dwyer and Yared Hailemichael and has published in prestigious journals such as Nature Medicine, Blood and PLoS ONE.

In The Last Decade

Ippei Sakamaki

42 papers receiving 739 citations

Peers

Ippei Sakamaki
Comparison fields: 5 of 88
  • Immunology 293
  • Infectious Diseases 261
  • Molecular Biology 171
  • Oncology 170
  • Epidemiology 79
Replace Michaela Döring with:
Michaela Döring Germany
Emily R. Levy United States
Elizabeth Mayne South Africa
Arumugam Balamurugan United States
José Salvador Rodrigues de Oliveira Brazil
Mikio Ueda Japan
E. Biagi Italy
Clifford V. Harding United States
Lorenzo Salvati Italy
Bruce K. Burnett United States
Michaela Döring Germany View profile →
Citations per field, relative to Ippei Sakamaki
Ippei Sakamaki · 1×
Citations per year, relative to Ippei Sakamaki
Ippei Sakamaki · 1×

Countries citing papers authored by Ippei Sakamaki

Since Specialization
Citations

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

Fields of papers citing papers by Ippei Sakamaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ippei Sakamaki

This figure shows the co-authorship network connecting the top 25 collaborators of Ippei Sakamaki. A scholar is included among the top collaborators of Ippei Sakamaki 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 Ippei Sakamaki. Ippei Sakamaki 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
# Work Indexed citations
1 0
2 0
3 0
4 6
5 37
6 8
7 1
8 5
9 29
10 93
11 4
12 7
13 8
14 24
15 189
16 4
17 4
18 0
19 7
20 1

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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