Hanako Tsujikawa

72 total papers · 1.6k total citations
37 papers, 1.2k citations indexed

About

Hanako Tsujikawa is a scholar working on Hepatology, Oncology and Epidemiology. According to data from OpenAlex, Hanako Tsujikawa has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Hepatology, 13 papers in Oncology and 10 papers in Epidemiology. Recurrent topics in Hanako Tsujikawa's work include Hepatocellular Carcinoma Treatment and Prognosis (11 papers), Liver Disease Diagnosis and Treatment (8 papers) and Liver physiology and pathology (7 papers). Hanako Tsujikawa is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (11 papers), Liver Disease Diagnosis and Treatment (8 papers) and Liver physiology and pathology (7 papers). Hanako Tsujikawa collaborates with scholars based in Japan, United States and Belgium. Hanako Tsujikawa's co-authors include Michiie Sakamoto, Yuko Kitagawa, Minoru Kitago, Yohei Masugi, Hidenori Ojima, Masahiro Shinoda, Yuta Abe, Ken Yamazaki, Yutaka Kurebayashi and Kathryn Effendi and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Hanako Tsujikawa

34 papers receiving 1.1k citations

Hit Papers

Landscape of immune micro... 2018 2026 2020 2023 2018 2021 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Hanako Tsujikawa 456 401 332 331 259 37 1.2k
Yoshiyuki Kobayashi 593 1.3× 265 0.7× 268 0.8× 422 1.3× 227 0.9× 54 1.2k
Hao Xing 520 1.1× 268 0.7× 188 0.6× 301 0.9× 247 1.0× 29 965
Tong‐Chun Xue 402 0.9× 501 1.2× 465 1.4× 209 0.6× 319 1.2× 41 1.3k
Shunli Shen 474 1.0× 502 1.3× 429 1.3× 301 0.9× 367 1.4× 57 1.4k
Ningling Ge 694 1.5× 502 1.3× 324 1.0× 324 1.0× 408 1.6× 42 1.4k
Shunjun Fu 417 0.9× 601 1.5× 352 1.1× 283 0.9× 390 1.5× 46 1.2k
Florian Castet 468 1.0× 514 1.3× 426 1.3× 235 0.7× 326 1.3× 20 1.4k
Jung‐Ta Chen 289 0.6× 353 0.9× 540 1.6× 291 0.9× 246 0.9× 34 1.4k
Jiliang Qiu 637 1.4× 339 0.8× 517 1.6× 346 1.0× 396 1.5× 65 1.4k
Hirofumi Shirakawa 265 0.6× 696 1.7× 316 1.0× 272 0.8× 194 0.7× 30 1.2k

Countries citing papers authored by Hanako Tsujikawa

Since Specialization
Citations

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

Fields of papers citing papers by Hanako Tsujikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanako Tsujikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Hanako Tsujikawa. A scholar is included among the top collaborators of Hanako Tsujikawa 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 Hanako Tsujikawa. Hanako Tsujikawa 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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