Fumiko Arakawa

3.0k total citations · 1 hit paper
98 papers, 2.3k citations indexed

About

Fumiko Arakawa is a scholar working on Oncology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Fumiko Arakawa has authored 98 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Oncology, 35 papers in Pathology and Forensic Medicine and 32 papers in Molecular Biology. Recurrent topics in Fumiko Arakawa's work include Lymphoma Diagnosis and Treatment (31 papers), Monoclonal and Polyclonal Antibodies Research (29 papers) and Glycosylation and Glycoproteins Research (16 papers). Fumiko Arakawa is often cited by papers focused on Lymphoma Diagnosis and Treatment (31 papers), Monoclonal and Polyclonal Antibodies Research (29 papers) and Glycosylation and Glycoproteins Research (16 papers). Fumiko Arakawa collaborates with scholars based in Japan, China and United States. Fumiko Arakawa's co-authors include Koichi Ohshima, Yasuo Sugita, Hiroaki Miyoshi, Daisuke Niino, Junichi Kiyasu, Yuji Matsuoka, Ayako Ichikawa, Yoshio Misumi, Manabu Kuroki and Shinzo Oikawa and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Fumiko Arakawa

94 papers receiving 2.3k citations

Hit Papers

Expression of programmed cell death ligand 1 is associate... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fumiko Arakawa Japan 23 1.2k 905 603 572 468 98 2.3k
Carmel M. Lynch United States 13 990 0.9× 582 0.6× 406 0.7× 1.1k 1.9× 403 0.9× 22 2.5k
Bernard Mariamé France 24 916 0.8× 615 0.7× 782 1.3× 700 1.2× 198 0.4× 46 2.3k
Milena Piccioli Italy 20 788 0.7× 1.1k 1.2× 480 0.8× 441 0.8× 108 0.2× 40 2.1k
Neil L. Berinstein Canada 29 1.1k 1.0× 887 1.0× 1.3k 2.1× 792 1.4× 472 1.0× 104 2.9k
Joost J. Oudejans Netherlands 34 1.3k 1.2× 1.3k 1.4× 815 1.4× 717 1.3× 124 0.3× 68 3.0k
Lydia Visser Netherlands 36 1.3k 1.1× 1.6k 1.7× 1.6k 2.6× 1.0k 1.8× 280 0.6× 130 3.8k
Craig Okada United States 20 749 0.6× 460 0.5× 1.7k 2.7× 760 1.3× 407 0.9× 49 2.6k
M. Schaadt Germany 19 571 0.5× 928 1.0× 809 1.3× 449 0.8× 404 0.9× 46 1.9k
T C Meeker United States 22 986 0.9× 820 0.9× 619 1.0× 822 1.4× 396 0.8× 29 2.3k
Kerry Klussman United States 19 1.4k 1.2× 431 0.5× 1.8k 3.0× 792 1.4× 938 2.0× 37 3.4k

Countries citing papers authored by Fumiko Arakawa

Since Specialization
Citations

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

Fields of papers citing papers by Fumiko Arakawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fumiko Arakawa

This figure shows the co-authorship network connecting the top 25 collaborators of Fumiko Arakawa. A scholar is included among the top collaborators of Fumiko Arakawa 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 Fumiko Arakawa. Fumiko Arakawa 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
1.
Miyoshi, Hiroaki, Shirô Yoshida, Fumiko Arakawa, et al.. (2024). Comprehensive gene expression analysis using RNA sequencing between male and female patients with idiopathic carpal tunnel syndrome. Journal of Orthopaedic Research®. 42(11). 2373–2381.
2.
Takeuchi, Mai, Hiroaki Miyoshi, Yuichiro Semba, et al.. (2023). Digital spatial profiling of CD4+ T cells in classic Hodgkin lymphoma. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 483(2). 255–260. 3 indexed citations
3.
Sugita, Yasuo, Go Hashimoto, Kenji Fukuda, et al.. (2021). Primary Nondural Central Nervous System Marginal ZoneB-Cell Lymphoma of the Mucosa-Associated Lymphoid Tissue Type Mimicking CNS Inflammatory Diseases. Journal of Neuropathology & Experimental Neurology. 80(8). 789–799. 3 indexed citations
4.
Arakawa, Fumiko, Hiroaki Miyoshi, Noriaki Yoshida, et al.. (2021). Expression of telomerase reverse transcriptase in peripheral T‐cell lymphoma. Cancer Medicine. 10(19). 6786–6794. 4 indexed citations
5.
Yamada, Kyohei, Hiroaki Miyoshi, Noriaki Yoshida, et al.. (2020). Human T-cell lymphotropic virus HBZ and tax mRNA expression are associated with specific clinicopathological features in adult T-cell leukemia/lymphoma. Modern Pathology. 34(2). 314–326. 12 indexed citations
6.
Arakawa, Fumiko, Takayuki Nakamura, Ritsuko Seki, et al.. (2019). Complete response following toxic epidermal necrolysis in relapsed adult T cell leukemia/lymphoma after haploidentical stem cell transplantation. International Journal of Hematology. 110(4). 506–511. 6 indexed citations
7.
Furuta, Takuya, Hiroaki Miyoshi, Satoru Komaki, et al.. (2018). Clinicopathological and genetic association between epithelioid glioblastoma and pleomorphic xanthoastrocytoma. Neuropathology. 38(3). 218–227. 29 indexed citations
8.
Ichikawa, Ayako, Hiroaki Miyoshi, Takuji Yamauchi, et al.. (2017). Composite lymphoma of peripheral T‐cell lymphoma and Hodgkin lymphoma, mixed cellularity type; pathological and molecular analysis. Pathology International. 67(4). 194–201. 7 indexed citations
9.
Nakashima, Shinji, Yasuo Sugita, Hiroaki Miyoshi, et al.. (2015). Endothelin B receptor expression in malignant gliomas: the perivascular immune escape mechanism of gliomas. Journal of Neuro-Oncology. 127(1). 23–32. 13 indexed citations
10.
Kimura, Yoshizo, Yutaka Imamura, Koichi Higaki, et al.. (2011). Case of polycythemia vera with unusual organizing pneumonia mimicking the clinical features of military tuberculosis and possibly caused by the involvement of neoplastic megakaryocytes. Pathology International. 61(8). 486–490. 3 indexed citations
11.
Terasaki, Mizuhiko, Yasuo Sugita, Fumiko Arakawa, et al.. (2011). CXCL12/CXCR4 signaling in malignant brain tumors: a potential pharmacological therapeutic target. Brain Tumor Pathology. 28(2). 89–97. 55 indexed citations
12.
Satou, Yorifumi, Fumiko Arakawa, Junichi Kiyasu, et al.. (2011). Detection of HTLV‐1 by means of HBZ gene in situ hybridization in formalin‐fixed and paraffin‐embedded tissues. Cancer Science. 102(7). 1432–1436. 13 indexed citations
13.
15.
Arakawa, Fumiko, Takafumi Yamamoto, Motohisa Kuwahara, et al.. (2000). Molecular Identification of a Human Carcinoma‐associated Glycoprotein Antigen Recognized by Mouse Monoclonal Antibody FU‐MK‐1. Japanese Journal of Cancer Research. 91(2). 231–238. 6 indexed citations
17.
Murakami, Masaaki, Masahide Kuroki, Fumiko Arakawa, et al.. (1996). Binding Reactivity of Monoclonal Anti-Carcinoembryonic Antigen (CEA) Antibodies with Cell Membrane-Bound CEA and with Free CEA in Solution. Immunological Investigations. 25(1-2). 23–35. 9 indexed citations
18.
19.
Moriyama, Kengo, et al.. (1992). Apolipoprotein E1 Lys-146 → Glu with type III hyperlipoproteinemia. Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism. 1128(1). 58–64. 34 indexed citations

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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