Yuki Kagoya

2.2k citations
53 papers · 1.6k indexed · 1 hit paper · h-index 18
Topics
CAR-T cell therapy research (22 papers)Immune Cell Function and Interaction (20 papers)Acute Myeloid Leukemia Research (16 papers)
Partner nations
JapanCanadaUnited States

In The Last Decade

Yuki Kagoya

50 papers receiving 1.6k citations

Hit Papers

A novel chimeric antigen receptor containing a JAK–STAT s...20182026202020232018100200300400

Peers

Yuki Kagoya
Comparison fields: 5 of 81
  • Oncology 944
  • Molecular Biology 687
  • Immunology 574
  • Hematology 304
  • Genetics 246
Replace Yongxian Hu with:
Yongxian Hu China
Ai-Hong Zhang United States
Magda Marcatti Italy
Marion Espéli France
Brandy Perkins United States
Miwako Narita Japan
Masuhiro Takahashi Japan
Armen Mardiros United States
Rogier M. Reijmers Netherlands
Jason Foley United States
Yuki Kagoya relative to Yongxian Hu China Yongxian Hu's profile →
Citations per field
00.5×2.8×
Yongxian Hu · 1×
Citations per year

Countries citing papers authored by Yuki Kagoya

Since Specialization
Citations

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

Fields of papers citing papers by Yuki Kagoya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuki Kagoya

This figure shows the co-authorship network connecting the top 25 collaborators of Yuki Kagoya. A scholar is included among the top collaborators of Yuki Kagoya 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 Yuki Kagoya. Yuki Kagoya 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 4
3 0
4 1
5 1
6 0
7 14
8 14
9 11
10 126
11 38
12 22
13
A novel chimeric antigen receptor containing a JAK–STAT signaling domain mediates superior antitumor effectsbreakdown →
446
14 44
15 29
16 168
17 12
18 29
19 35
20 2

About Yuki Kagoya

Yuki Kagoya is a scholar working on Hematology, Immunology and Oncology, having authored 53 papers that have together received 1.6k indexed citations. Recurring topics across this work include CAR-T cell therapy research (22 papers), Immune Cell Function and Interaction (20 papers) and Acute Myeloid Leukemia Research (16 papers). The work is most often cited by research in Oncology (944 citations), Hematology (304 citations) and Immunology (574 citations). Yuki Kagoya has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Tingxi Guo, Kayoko Saso, Mark Anczurowski, Marcus O. Butler, Naoto Hirano, Chung-Hsi Wang, Mineo Kurokawa, Mark D. Minden, Shinya Tanaka and Akihide Yoshimi. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Investigation and Nature Medicine.

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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