Etsuko Fujii

1.1k total citations
50 papers, 643 citations indexed

About

Etsuko Fujii is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Etsuko Fujii has authored 50 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Oncology, 16 papers in Immunology and 12 papers in Molecular Biology. Recurrent topics in Etsuko Fujii's work include Cancer Cells and Metastasis (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Immune Cell Function and Interaction (5 papers). Etsuko Fujii is often cited by papers focused on Cancer Cells and Metastasis (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Immune Cell Function and Interaction (5 papers). Etsuko Fujii collaborates with scholars based in United States and Japan. Etsuko Fujii's co-authors include Masami Suzuki, Atsuhiko Kato, Yoshiaki Takashima, Hiroaki Matsushita, Shigeto Kawai, Akimichi Morita, Takeshi Watanabe, Takuya Furuhashi, Kenji Adachi and Koichi Matsubara and has published in prestigious journals such as Nature Communications, Cancer Research and Scientific Reports.

In The Last Decade

Etsuko Fujii

48 papers receiving 626 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Etsuko Fujii United States 15 185 180 163 141 118 50 643
Jasminka Jakić‐Razumović Croatia 16 214 1.2× 84 0.5× 93 0.6× 199 1.4× 53 0.4× 69 639
Michael Bzorek Denmark 17 159 0.9× 162 0.9× 318 2.0× 212 1.5× 38 0.3× 54 867
Paola Cordiali‐Fei Italy 21 260 1.4× 169 0.9× 353 2.2× 195 1.4× 72 0.6× 39 1.0k
Ralf W. Denfeld Germany 13 224 1.2× 102 0.6× 645 4.0× 110 0.8× 161 1.4× 19 911
Graeme P. Sullivan Ireland 9 96 0.5× 197 1.1× 485 3.0× 225 1.6× 55 0.5× 13 738
Karline Guilloteau France 8 172 0.9× 176 1.0× 315 1.9× 202 1.4× 19 0.2× 10 618
Xiulan Qi United States 10 173 0.9× 48 0.3× 467 2.9× 200 1.4× 67 0.6× 16 786
Angela Orecchia Italy 15 183 1.0× 55 0.3× 142 0.9× 389 2.8× 110 0.9× 19 693
Conway C. Huang United States 15 278 1.5× 176 1.0× 99 0.6× 449 3.2× 27 0.2× 39 879
Lixin Fu China 11 174 0.9× 46 0.3× 171 1.0× 226 1.6× 33 0.3× 39 536

Countries citing papers authored by Etsuko Fujii

Since Specialization
Citations

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

Fields of papers citing papers by Etsuko Fujii

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Etsuko Fujii

This figure shows the co-authorship network connecting the top 25 collaborators of Etsuko Fujii. A scholar is included among the top collaborators of Etsuko Fujii 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 Etsuko Fujii. Etsuko Fujii 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.
Mitsunaga, Shuichi, Masafumi Ikeda, Hiroshi Imaoka, et al.. (2023). Fibroblast inhibition by tocilizumab enabled gemcitabine/nab‐paclitaxel rechallenge for pancreatic cancer. Cancer Science. 114(10). 4006–4019. 7 indexed citations
2.
Kawai, Shigeto, et al.. (2023). Development of rat duodenal monolayer model with effective barrier function from rat organoids for ADME assay. Scientific Reports. 13(1). 12130–12130. 3 indexed citations
3.
Kawai, Shigeto, Kiyotaka Nakano, Keiichi Tamai, et al.. (2021). Generation of a lung squamous cell carcinoma three-dimensional culture model with keratinizing structures. Scientific Reports. 11(1). 24305–24305. 3 indexed citations
4.
Kawai, Shigeto, Masaki Yamazaki, Keita Shibuya, et al.. (2020). Three-dimensional culture models mimic colon cancer heterogeneity induced by different microenvironments. Scientific Reports. 10(1). 3156–3156. 22 indexed citations
5.
Yamazaki, Masaki, Atsuhiko Kato, Eiji Oki, et al.. (2020). Continuous formation of small clusters with LGR5-positive cells contributes to tumor growth in a colorectal cancer xenograft model. Laboratory Investigation. 101(1). 12–25. 2 indexed citations
6.
Fujii, Etsuko, Atsuhiko Kato, & Masami Suzuki. (2020). Patient-derived xenograft (PDX) models: characteristics and points to consider for the process of establishment. Journal of Toxicologic Pathology. 33(3). 153–160. 30 indexed citations
7.
8.
Funahashi, S., Shigeto Kawai, Etsuko Fujii, et al.. (2018). Generation of an anti-desmoglein 3 antibody without pathogenic activity of pemphigus vulgaris for therapeutic application to squamous cell carcinoma. The Journal of Biochemistry. 164(6). 471–481. 4 indexed citations
9.
Tanaka, Kenji, et al.. (2018). Advantages of evaluating γH2AX induction in non-clinical drug development. Genes and Environment. 40(1). 10–10. 21 indexed citations
10.
11.
Fujii, Etsuko, Masaki Yamazaki, Shigeto Kawai, et al.. (2017). A simple method for histopathological evaluation of organoids. Journal of Toxicologic Pathology. 31(1). 81–85. 25 indexed citations
12.
Fujii, Etsuko, et al.. (2014). Histopathological characteristics of human non-tumor thyroid tissues in a long-term model of adenomatous goiter xenografts in the NOD/Shi-scid, IL-2Rγnull mouse. Experimental and Toxicologic Pathology. 66(4). 203–209. 2 indexed citations
13.
Kato, Atsuhiko, Etsuko Fujii, Takeshi Watanabe, et al.. (2014). Distribution of IL-31 and its receptor expressing cells in skin of atopic dermatitis. Journal of Dermatological Science. 74(3). 229–235. 88 indexed citations
14.
Ueda, Otoya, Yoshinobu Higuchi, Etsuko Fujii, et al.. (2013). Novel genetically-humanized mouse model established to evaluate efficacy of therapeutic agents to human interleukin-6 receptor. Scientific Reports. 3(1). 1196–1196. 23 indexed citations
15.
Fujii, Etsuko, Masami Suzuki, Koichi Matsubara, et al.. (2008). Establishment and characterization of in vivo human tumor models in the NOD/SCID/γcnull mouse. Pathology International. 58(9). 559–567. 28 indexed citations
16.
Kawai, Shigeto, Yumiko Azuma, Etsuko Fujii, et al.. (2008). Interferon‐α enhances CD317 expression and the antitumor activity of anti‐CD317 monoclonal antibody in renal cell carcinoma xenograft models. Cancer Science. 99(12). 2461–2466. 39 indexed citations
17.
Fujii, Etsuko, Kazuya Kimura, Atsuhiko Kato, et al.. (2007). Assessment of the carcinogenic potential of mitemcinal (GM-611): Increased incidence of malignant lymphoma in a rat carcinogenicity study. Toxicology and Applied Pharmacology. 228(1). 1–7. 5 indexed citations
18.
Adachi, Koji, Tomonobu Ito, Etsuko Fujii, et al.. (2005). Collagenofibrotic Glomerulonephropathy in a Cynomolgus Macaque (Macaca fascicularis). Veterinary Pathology. 42(5). 669–674. 11 indexed citations
19.
Suzuki, Masami, H. TAKAI, Takeshi Watanabe, et al.. (2004). PLP-AMeX Method, Fixation Using PLP Fixative and Embedding in Paraffin by the AMeX Method, is Useful not only for Histochemistry but also In Situ Hybridization. Journal of Toxicologic Pathology. 17(3). 171–176. 4 indexed citations
20.
Ito, Tsuneo, et al.. (2001). Endometriosis in a Rhesus Monkey.. Journal of Toxicologic Pathology. 14(4). 313–315. 2 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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