Seira Hatakeyama

17 total papers · 1.2k total citations
12 papers, 365 citations indexed

About

Seira Hatakeyama is a scholar working on Pathology and Forensic Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Seira Hatakeyama has authored 12 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pathology and Forensic Medicine, 5 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Seira Hatakeyama's work include Genetic factors in colorectal cancer (5 papers), Immune cells in cancer (4 papers) and Cancer Genomics and Diagnostics (2 papers). Seira Hatakeyama is often cited by papers focused on Genetic factors in colorectal cancer (5 papers), Immune cells in cancer (4 papers) and Cancer Genomics and Diagnostics (2 papers). Seira Hatakeyama collaborates with scholars based in Japan, United States and Italy. Seira Hatakeyama's co-authors include Yoichi Furukawa, Eigo Shimizu, Kiyoshi Yamaguchi, Seiya Imoto, Makoto Nakanishi, Yoshikazu Johmura, Satotaka Omori, Teh‐Wei Wang, Satoshi Yamazaki and Narumi Suzuki and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Scientific Reports.

In The Last Decade

Seira Hatakeyama

11 papers receiving 362 citations

Hit Papers

Blocking PD-L1–PD-1 impro... 2022 2026 2023 2024 2022 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Seira Hatakeyama 128 123 107 81 53 12 365
Karim Bennaceur 186 1.5× 77 0.6× 119 1.1× 98 1.2× 27 0.5× 14 392
Teh‐Wei Wang 141 1.1× 132 1.1× 129 1.2× 75 0.9× 68 1.3× 8 392
Welbert Oliveira Pereira 94 0.7× 87 0.7× 193 1.8× 69 0.9× 91 1.7× 18 400
Narumi Suzuki 130 1.0× 120 1.0× 147 1.4× 71 0.9× 40 0.8× 13 390
Connor Lantz 101 0.8× 36 0.3× 149 1.4× 101 1.2× 32 0.6× 15 360
Muriel G. Blin 102 0.8× 56 0.5× 176 1.6× 38 0.5× 34 0.6× 10 359
Avi Maimon 187 1.5× 64 0.5× 196 1.8× 53 0.7× 54 1.0× 12 394
Natsumi Maehara 122 1.0× 38 0.3× 160 1.5× 43 0.5× 78 1.5× 15 380
Prameladevi Chinnasamy 169 1.3× 44 0.4× 125 1.2× 44 0.5× 36 0.7× 14 381
Julie A. Wolfram 114 0.9× 62 0.5× 193 1.8× 42 0.5× 39 0.7× 13 389

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

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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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