Emi Yoshioka

520 total citations
42 papers, 319 citations indexed

About

Emi Yoshioka is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Emi Yoshioka has authored 42 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pulmonary and Respiratory Medicine, 13 papers in Oncology and 8 papers in Surgery. Recurrent topics in Emi Yoshioka's work include Prostate Cancer Treatment and Research (8 papers), Prostate Cancer Diagnosis and Treatment (6 papers) and Neuroendocrine Tumor Research Advances (5 papers). Emi Yoshioka is often cited by papers focused on Prostate Cancer Treatment and Research (8 papers), Prostate Cancer Diagnosis and Treatment (6 papers) and Neuroendocrine Tumor Research Advances (5 papers). Emi Yoshioka collaborates with scholars based in Japan. Emi Yoshioka's co-authors include Tomoyuki Yokose, Kota Washimi, Yoichiro Okubo, Yohei Miyagi, Kae Kawachi, Masaki Suzuki, Michiyuki Kawakami, Jun Arita, Shinya Sato and Yoichi Kameda and has published in prestigious journals such as SHILAP Revista de lepidopterología, Immunity and Scientific Reports.

In The Last Decade

Emi Yoshioka

35 papers receiving 313 citations

Peers

Emi Yoshioka
Junmei Wang China
Girish Kumar Parida India
Anne‐Sophie Chong Canada
Hiroyuki Murabe Japan
Kazuhiro Kurosawa Japan
D Royston Ireland
Maurizio Salvadore Italy
Esther Ravinsky Canada
Anthony Rizzo United States
Kei Yamashiro Japan
Junmei Wang China
Emi Yoshioka
Citations per year, relative to Emi Yoshioka Emi Yoshioka (= 1×) peers Junmei Wang

Countries citing papers authored by Emi Yoshioka

Since Specialization
Citations

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

Fields of papers citing papers by Emi Yoshioka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emi Yoshioka

This figure shows the co-authorship network connecting the top 25 collaborators of Emi Yoshioka. A scholar is included among the top collaborators of Emi Yoshioka 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 Emi Yoshioka. Emi Yoshioka 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.
Okubo, Yoichiro, Rika Kasajima, Shinya Sato, et al.. (2025). Cribriform pattern and IDC ‐P in prostate biopsies: prognostic relevance and reporting in metastatic disease. The Journal of Pathology Clinical Research. 11(6). e70052–e70052.
2.
Miyoshi, Ai, Fumiaki Isohashi, Makoto Fujii, et al.. (2025). The association between additional radiotherapy after systemic chemotherapy and the prognosis of stage FIGO 2018 IVB cervical cancer. International Journal of Gynecology & Obstetrics. 170(2). 908–915.
3.
Washimi, Kota, Yukihiko Hiroshima, Shinya Sato, et al.. (2024). Evaluation of pancreatic cancer specimens for comprehensive genomic profiling. Pathology International. 74(5). 252–261. 3 indexed citations
4.
Okubo, Yoichiro, Rika Kasajima, Soji Toda, et al.. (2024). Effective Preparation of FFPE Tissue Samples for Preserving Appropriate Nucleic Acid Quality for Genomic Analysis in Thyroid Carcinoma. Endocrine Pathology. 35(4). 372–384. 5 indexed citations
5.
Hirata, Makoto, Hiroto Narimatsu, Emi Yoshioka, et al.. (2024). A case of an unreported point mutation in promoter 1B of the adenomatous polyposis coli gene, which is responsible for gastric adenocarcinoma and proximal polyposis of the stomach. Clinical Journal of Gastroenterology. 17(4). 602–606. 1 indexed citations
6.
7.
Sato, Shinya, Toru Hiruma, Mitsuyo Yoshihara, et al.. (2023). Bone marrow adipocytes induce cancer‐associated fibroblasts and immune evasion, enhancing invasion and drug resistance. Cancer Science. 114(6). 2674–2688. 17 indexed citations
8.
Washimi, Kota, Yukihiko Hiroshima, Rika Kasajima, et al.. (2023). Differential diagnosis of uterine adenosarcoma: identification of JAZF1-BCORL1 rearrangement by comprehensive cancer genomic profiling. Diagnostic Pathology. 18(1). 5–5. 3 indexed citations
9.
10.
Kawachi, Kae, Xiaoyan Tang, Rika Kasajima, et al.. (2023). Genetic analysis of low-grade adenosquamous carcinoma of the breast progressing to high-grade metaplastic carcinoma. Breast Cancer Research and Treatment. 202(3). 563–573. 3 indexed citations
11.
Okubo, Yoichiro, Soji Toda, Shinya Sato, et al.. (2023). Histological findings of thyroid cancer after lenvatinib therapy. Histopathology. 83(4). 657–663. 5 indexed citations
12.
Okubo, Yoichiro, Shinya Sato, Hideyuki Terao, et al.. (2023). Review of the Developing Landscape of Prostate Biopsy and Its Roles in Prostate Cancer Diagnosis and Treatment. Archivos Españoles de Urología. 76(9). 633–633. 8 indexed citations
13.
Okubo, Yoichiro, Shinya Sato, Chie Hasegawa, et al.. (2023). Cribriform pattern and intraductal carcinoma of the prostate can have a clinicopathological impact, regardless of their percentage and/or number of cores. Human Pathology. 135. 99–107. 12 indexed citations
14.
Suzuki, Masaki, Rika Kasajima, Tomoyuki Yokose, et al.. (2021). Comprehensive molecular analysis of genomic profiles and PD-L1 expression in lung adenocarcinoma with a high-grade fetal adenocarcinoma component. Translational Lung Cancer Research. 10(3). 1292–1304. 10 indexed citations
15.
Okubo, Yoichiro, Shinya Sato, Kimito Osaka, et al.. (2021). Clinicopathological Analysis of the ISUP Grade Group And Other Parameters in Prostate Cancer: Elucidation of Mutual Impact of the Various Parameters. Frontiers in Oncology. 11. 695251–695251. 10 indexed citations
16.
Sato, Shinya, Satoshi Maki, Takashi Yamanaka, et al.. (2021). Machine learning-based image analysis for accelerating the diagnosis of complicated preneoplastic and neoplastic ductal lesions in breast biopsy tissues. Breast Cancer Research and Treatment. 188(3). 649–659. 8 indexed citations
17.
Suzuki, Masaki, Yukio Nakatani, Hiroyuki Ito, et al.. (2018). Pulmonary adenocarcinoma with high-grade fetal adenocarcinoma component has a poor prognosis, comparable to that of micropapillary adenocarcinoma. Modern Pathology. 31(9). 1404–1417. 26 indexed citations
18.
Okubo, Yoichiro, Emi Yoshioka, Masaki Suzuki, et al.. (2018). Diagnosis, Pathological Findings, and Clinical Management of Gangliocytic Paraganglioma: A Systematic Review. Frontiers in Oncology. 8. 291–291. 24 indexed citations
19.
Okubo, Yoichiro, Rika Kasajima, Masaki Suzuki, et al.. (2017). Risk factors associated with the progression and metastases of hindgut neuroendocrine tumors: a retrospective study. BMC Cancer. 17(1). 769–769. 6 indexed citations
20.
Okubo, Yoichiro, Osamu Motohashi, Norisuke Nakayama, et al.. (2016). The clinicopathological significance of angiogenesis in hindgut neuroendocrine tumors obtained via an endoscopic procedure. Diagnostic Pathology. 11(1). 128–128. 12 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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