Takuya Sekine

5.5k total citations
27 papers, 885 citations indexed

About

Takuya Sekine is a scholar working on Immunology, Hematology and Infectious Diseases. According to data from OpenAlex, Takuya Sekine has authored 27 papers receiving a total of 885 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 8 papers in Hematology and 5 papers in Infectious Diseases. Recurrent topics in Takuya Sekine's work include Immune Cell Function and Interaction (10 papers), Hematopoietic Stem Cell Transplantation (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Takuya Sekine is often cited by papers focused on Immune Cell Function and Interaction (10 papers), Hematopoietic Stem Cell Transplantation (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Takuya Sekine collaborates with scholars based in United States, United Kingdom and Sweden. Takuya Sekine's co-authors include Catherine M. Bollard, Katayoun Rezvani, Mira Pistillo, Austin B. Bigley, Richard J. Simpson, Marcus Buggert, Katy Rezvani, Julia Niessl, Elizabeth J. Shpall and Brian Crucian and has published in prestigious journals such as Journal of Clinical Oncology, Blood and The Journal of Immunology.

In The Last Decade

Takuya Sekine

26 papers receiving 876 citations

Peers

Takuya Sekine
Comparison fields: 5 of 74
  • Immunology 507
  • Oncology 233
  • Hematology 199
  • Molecular Biology 147
  • Infectious Diseases 129
Replace Catherine M. Cale with:
Catherine M. Cale United Kingdom
Inmaculada Gayoso Spain
Sara Morgado Spain
Beatriz Sánchez-Correa Spain
M.H.G. Rep Netherlands
Maud Thérésine Luxembourg
Jakob Theorell Sweden
Elissaveta Naumova Bulgaria
Nital Sumaria United Kingdom
N. König Germany
Catherine M. Cale United Kingdom View profile →
Citations per field, relative to Takuya Sekine
Takuya Sekine · 1×
Citations per year, relative to Takuya Sekine
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Countries citing papers authored by Takuya Sekine

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Sekine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuya Sekine

This figure shows the co-authorship network connecting the top 25 collaborators of Takuya Sekine. A scholar is included among the top collaborators of Takuya Sekine 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 Takuya Sekine. Takuya Sekine 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 2
2 1
3 0
4 25
5 54
6 56
7 10
8 11
9 33
10 60
11 117
12 38
13 9
14 158
15 128
16 3
17 5
18 93
19
CD7, CD4 and myeloid antigen-positive acute lymphoblastic leukemia.
3
20
[Nasal lymphoma of natural killer cell origin].
4

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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