Seira Hatakeyama

1.2k citations
12 papers · 376 indexed · 1 hit paper · h-index 7
Topics
Genetic factors in colorectal cancer (5 papers)Immune cells in cancer (4 papers)Cancer Genomics and Diagnostics (2 papers)
Partner nations
JapanUnited StatesItaly

In The Last Decade

Seira Hatakeyama

11 papers receiving 373 citations

Hit Papers

Blocking PD-L1–PD-1 improves senescence surveillance and ...2022202620232024202250100150200250

Peers

Seira Hatakeyama
Comparison fields: 5 of 67
  • Immunology 130
  • Physiology 129
  • Molecular Biology 110
  • Oncology 83
  • Cancer Research 54
Replace Teh‐Wei Wang with:
Teh‐Wei Wang Japan
Lena Lau United States
Muriel G. Blin United States
Sandeep Nadella United States
Martina Kerndl Austria
T. Tataranni Italy
Vinh Dao United States
Clément Molina France
Alexander Lang Germany
Avi Maimon Israel
Seira Hatakeyama relative to Teh‐Wei Wang Japan Teh‐Wei Wang's profile →
Citations per field
00.5×
Teh‐Wei Wang · 1×
Citations per year

Countries citing papers authored by Seira Hatakeyama

Since Specialization
Citations

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

Fields of papers citing papers by Seira Hatakeyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seira Hatakeyama

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 0
2 1
3 16
4 9
5 2
6
Blocking PD-L1–PD-1 improves senescence surveillance and ageing phenotypesbreakdown →
278
7 10
8 7
9 6
10 15
11 28
12 4

About Seira Hatakeyama

Seira Hatakeyama is a scholar working on Pathology and Forensic Medicine, Immunology and Oncology, having authored 12 papers that have together received 376 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (5 papers), Immune cells in cancer (4 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Aging (17 citations), Immunology (130 citations) and Physiology (129 citations). Seira Hatakeyama has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Eigo Shimizu, Yoichi Furukawa, Seiya Imoto, Kiyoshi Yamaguchi, Teh‐Wei Wang, Makoto Nakanishi, Yoshikazu Johmura, Satotaka Omori, Satoshi Yamazaki and Akihiko Yoshimura. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Scientific Reports.

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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