Yukimi Sakoda

2.1k citations
27 papers · 1.7k indexed · 1 hit paper · h-index 17
Topics
CAR-T cell therapy research (11 papers)Immune Cell Function and Interaction (8 papers)Immunotherapy and Immune Responses (6 papers)
Journals
Journal of Clinical InvestigationSHILAP Revista de lepidopterologíaBlood

In The Last Decade

Yukimi Sakoda

26 papers receiving 1.7k citations

Hit Papers

IL-7 and CCL19 expression in CAR-T cells improves immune ...20182026202020232018200400600

Peers

Yukimi Sakoda
Comparison fields: 5 of 75
  • Oncology 1.2k
  • Immunology 898
  • Biomedical Engineering 389
  • Molecular Biology 361
  • Genetics 269
Replace Selene Nuñez-Cruz with:
Selene Nuñez-Cruz United States
Bianca Altvater Germany
Giacomo Oliveira Italy
Rayne H. Rouce United States
Monica Casucci Italy
Zeguo Zhao United States
Barbara Camisa Italy
Yongxian Hu China
Peihua Lu China
Yukimi Sakoda relative to Selene Nuñez-Cruz United States Selene Nuñez-Cruz's profile →
Citations per field
00.5×1.5×2.2×
Selene Nuñez-Cruz · 1×
Citations per year

Countries citing papers authored by Yukimi Sakoda

Since Specialization
Citations

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

Fields of papers citing papers by Yukimi Sakoda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yukimi Sakoda

This figure shows the co-authorship network connecting the top 25 collaborators of Yukimi Sakoda. A scholar is included among the top collaborators of Yukimi Sakoda 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 Yukimi Sakoda. Yukimi Sakoda 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 0
2 8
3 2
4 16
5 4
6 45
7
IL-7 and CCL19 expression in CAR-T cells improves immune cell infiltration and CAR-T cell survival in the tumorbreakdown →
600
8 53
9 13
10 26
11 23
12 22
13 216
14 10
15 13
16 266
17 21
18 16
19 8
20 33

About Yukimi Sakoda

Yukimi Sakoda is a scholar working on Immunology, Oncology and Hematology, having authored 27 papers that have together received 1.7k indexed citations. Recurring topics across this work include CAR-T cell therapy research (11 papers), Immune Cell Function and Interaction (8 papers) and Immunotherapy and Immune Responses (6 papers). The work is most often cited by research in Oncology (1.2k citations), Immunology (898 citations) and Hematology (165 citations). Yukimi Sakoda has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Koji Tamada, Keishi Adachi, Tomohiko Nagai, Namiko Okuyama, Degui Geng, Eduardo Dávila, Ratika Srivastava, Zhaoyang Li, Navneeta Bansal and Atsuo Kuramasu. Their work appears in journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Blood.

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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