Jun Yoshida

451 total citations
9 papers, 348 citations indexed

About

Jun Yoshida is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Jun Yoshida has authored 9 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Oncology. Recurrent topics in Jun Yoshida's work include Immunotherapy and Immune Responses (4 papers), RNA Interference and Gene Delivery (3 papers) and Virus-based gene therapy research (2 papers). Jun Yoshida is often cited by papers focused on Immunotherapy and Immune Responses (4 papers), RNA Interference and Gene Delivery (3 papers) and Virus-based gene therapy research (2 papers). Jun Yoshida collaborates with scholars based in Japan. Jun Yoshida's co-authors include Masaaki Mizuno, Kaoru Kurisu, Fusao Ikawa, Kazunori Arita, T Uozumi, Masayuki Sumida, Yoshikazu Nishi, Shuji Monden, Kunyu Harada and Takashi Takahashi and has published in prestigious journals such as Journal of neurosurgery, Cancer Immunology Immunotherapy and Journal of Neuro-Oncology.

In The Last Decade

Jun Yoshida

9 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun Yoshida Japan	8	129	104	101	92	79	9	348
Rebecca I. Torene United States	10	165 1.3×	56 0.5×	144 1.4×	56 0.6×	45 0.6×	20	506
Deborah Morrogh United Kingdom	9	247 1.9×	78 0.8×	34 0.3×	29 0.3×	129 1.6×	13	542
Julia D. Mellentin United States	7	349 2.7×	21 0.2×	92 0.9×	19 0.2×	68 0.9×	7	578
Avigail Rein Israel	5	95 0.7×	102 1.0×	25 0.2×	10 0.1×	101 1.3×	6	289
Richard A. Sater United States	11	52 0.4×	25 0.2×	180 1.8×	11 0.1×	35 0.4×	13	354
Sungwook Han South Korea	7	291 2.3×	31 0.3×	32 0.3×	18 0.2×	21 0.3×	10	404
Shireena A. Yasin United Kingdom	8	120 0.9×	28 0.3×	101 1.0×	13 0.1×	9 0.1×	14	434
Patrick Frosk Canada	10	495 3.8×	11 0.1×	101 1.0×	21 0.2×	30 0.4×	18	618
Yoshimi Jitsumori Japan	10	332 2.6×	54 0.5×	39 0.4×	11 0.1×	92 1.2×	11	455
Alberto Hidalgo Tuñón Spain	7	76 0.6×	33 0.3×	94 0.9×	17 0.2×	30 0.4×	28	264

Countries citing papers authored by Jun Yoshida

Since Specialization

Citations

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

Fields of papers citing papers by Jun Yoshida

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Yoshida

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Yoshida. A scholar is included among the top collaborators of Jun Yoshida 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 Jun Yoshida. Jun Yoshida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Aoki, Hideo, Masaaki Mizuno, Atsushi Natsume, et al.. (2001). Dendritic cells pulsed with tumor extract-cationic liposome complex increase the induction of cytotoxic T lymphocytes in mouse brain tumor. Cancer Immunology Immunotherapy. 50(9). 463–468. 43 indexed citations

Wakabayashi, Toshihiko, Norikazu Hatano, Yasukazu Kajita, et al.. (2000). Initial and Maintenance Combination Treatment with Interferon-β, MCNU (Ranimustine), and Radiotherapy for Patients with Previously Untreated Malignant Glioma. Journal of Neuro-Oncology. 49(1). 57–62. 27 indexed citations

Natsume, Atsushi, Kunio Tsujimura, Masaaki Mizuno, Takashi Takahashi, & Jun Yoshida. (2000). IFN-β Gene Therapy Induces Systemic Antitumor Immunity Against Malignant Glioma. Journal of Neuro-Oncology. 47(2). 117–124. 55 indexed citations

Arita, Kazunori, Fusao Ikawa, Kaoru Kurisu, et al.. (1999). The relationship between magnetic resonance imaging findings and clinical manifestations of hypothalamic hamartoma. Journal of neurosurgery. 91(2). 212–220. 164 indexed citations

Yoshida, Jun, et al.. (1997). Retroviral Introduction of the p16 Gene into Murine Cell Lines to Elicit Marked Antiproliferative Effects. Japanese Journal of Cancer Research. 88(8). 712–717. 5 indexed citations

Yoshida, Jun & Masaaki Mizuno. (1994). Simple method to prepare cationic multilamellar liposomes for efficient transfection of human interferon-? gene to human glioma cells. Journal of Neuro-Oncology. 19(3). 269–274. 11 indexed citations

Mizuno, Masaaki, et al.. (1994). Liposomal transfection of human γ-interferon gene into human glioma cells and adoptive immunotherapy using lymphokine-activated killer cells. Journal of neurosurgery. 80(3). 510–514. 18 indexed citations

Yoshida, Jun, et al.. (1994). Growth inhibition of subcutaneously transplanted human glioma by transfection-induced tumor necrosis factor-? and augmentation of the effect by ?-interferon. Journal of Neuro-Oncology. 22(3). 221–225. 15 indexed citations

Yoshida, Jun, et al.. (1990). Radioimmunoassay of glioma-associated antigen in cerebrospinal fluid and its usefulness for the diagnosis and monitoring of human glioma. Journal of Neuro-Oncology. 8(1). 23–31. 10 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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