Keiko Hashikawa

25 total papers · 736 total citations
15 papers, 526 citations indexed

About

Keiko Hashikawa is a scholar working on Immunology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Keiko Hashikawa has authored 15 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 6 papers in Pathology and Forensic Medicine and 6 papers in Oncology. Recurrent topics in Keiko Hashikawa's work include Lymphoma Diagnosis and Treatment (6 papers), T-cell and Retrovirus Studies (6 papers) and Viral-associated cancers and disorders (3 papers). Keiko Hashikawa is often cited by papers focused on Lymphoma Diagnosis and Treatment (6 papers), T-cell and Retrovirus Studies (6 papers) and Viral-associated cancers and disorders (3 papers). Keiko Hashikawa collaborates with scholars based in Japan and China. Keiko Hashikawa's co-authors include Koichi Ohshima, Yasuo Sugita, Yoshizo Kimura, Ryosuke Aoki, Yuko Nomura, Kennosuke Karube, Daisuke Niino, Masahiro Kikuchi, Junichi Kiyasu and Masanori Takeuchi and has published in prestigious journals such as Journal of the American Academy of Dermatology, Modern Pathology and Cancer Science.

In The Last Decade

Keiko Hashikawa

14 papers receiving 518 citations

Author Peers

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

Author Last Decade Papers Cites
Keiko Hashikawa 239 219 210 88 80 15 526
Ryosuke Aoki 283 1.2× 232 1.1× 241 1.1× 70 0.8× 86 1.1× 16 551
Esther J.M. Schilder-Tol 221 0.9× 146 0.7× 218 1.0× 32 0.4× 110 1.4× 14 611
Chara Kyriakou 185 0.8× 207 0.9× 90 0.4× 55 0.6× 149 1.9× 12 451
Mutsuhito Motegi 294 1.2× 142 0.6× 151 0.7× 28 0.3× 92 1.1× 15 504
Séverine Valmary 156 0.7× 197 0.9× 67 0.3× 83 0.9× 77 1.0× 15 506
Julien Moroch 168 0.7× 94 0.4× 95 0.5× 45 0.5× 75 0.9× 19 497
Matthew Scaramozza 313 1.3× 200 0.9× 146 0.7× 48 0.5× 66 0.8× 22 513
Shelley A. Roberts 159 0.7× 215 1.0× 135 0.6× 79 0.9× 19 0.2× 13 478
Cristina Lazzeri 172 0.7× 103 0.5× 315 1.5× 127 1.4× 153 1.9× 14 566
Karin Kleiverda 176 0.7× 163 0.7× 120 0.6× 20 0.2× 171 2.1× 15 538

Countries citing papers authored by Keiko Hashikawa

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Hashikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Hashikawa

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