Jun Nishida

3.6k total citations
127 papers, 2.6k citations indexed

About

Jun Nishida is a scholar working on Surgery, Rheumatology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jun Nishida has authored 127 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Surgery, 43 papers in Rheumatology and 35 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jun Nishida's work include Sarcoma Diagnosis and Treatment (31 papers), Bone Tumor Diagnosis and Treatments (28 papers) and Orthopedic Surgery and Rehabilitation (23 papers). Jun Nishida is often cited by papers focused on Sarcoma Diagnosis and Treatment (31 papers), Bone Tumor Diagnosis and Treatments (28 papers) and Orthopedic Surgery and Rehabilitation (23 papers). Jun Nishida collaborates with scholars based in Japan, United States and China. Jun Nishida's co-authors include Tadashi Shimamura, Shogo Ehata, Kohei Miyazono, Kyoji Okada, Shigeru Ehara, Kei Takahashi, Toshihiko Imaeda, Peter C. Amadio, Satoshi Toh and Daizo Koinuma and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Jun Nishida

123 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Nishida Japan 27 821 667 621 595 429 127 2.6k
Riccardo Ferracini Italy 33 619 0.8× 455 0.7× 1.3k 2.0× 285 0.5× 872 2.0× 92 3.0k
Walter Schürch Canada 21 677 0.8× 872 1.3× 774 1.2× 543 0.9× 649 1.5× 44 3.1k
Mervyn J. Merrilees New Zealand 30 587 0.7× 470 0.7× 886 1.4× 278 0.5× 179 0.4× 71 3.0k
Wen Jie Zhang China 30 776 0.9× 245 0.4× 665 1.1× 375 0.6× 374 0.9× 66 2.4k
Paul Rooney United Kingdom 31 1.4k 1.7× 302 0.5× 912 1.5× 762 1.3× 848 2.0× 93 3.9k
Fernando Figueroa Chile 28 976 1.2× 336 0.5× 1.0k 1.6× 413 0.7× 293 0.7× 63 3.5k
Jim Middleton United Kingdom 25 952 1.2× 235 0.4× 1.2k 1.9× 495 0.8× 940 2.2× 36 4.1k
Hajime Umezu Japan 28 539 0.7× 782 1.2× 400 0.6× 359 0.6× 490 1.1× 109 2.5k
Jürgen Brinckmann Germany 27 335 0.4× 336 0.5× 922 1.5× 347 0.6× 246 0.6× 65 2.8k
Antoine Geinoz Switzerland 10 612 0.7× 431 0.6× 1.1k 1.8× 146 0.2× 334 0.8× 15 2.9k

Countries citing papers authored by Jun Nishida

Since Specialization
Citations

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

Fields of papers citing papers by Jun Nishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Nishida

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Nishida. A scholar is included among the top collaborators of Jun Nishida 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 Nishida. Jun Nishida 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.
Goyette, Marie-Anne, Laura E. Stevens, Marco Seehawer, et al.. (2024). Cancer–stromal cell interactions in breast cancer brain metastases induce glycocalyx-mediated resistance to HER2-targeting therapies. Proceedings of the National Academy of Sciences. 121(20). e2322688121–e2322688121. 15 indexed citations
2.
Seehawer, Marco, Zheqi Li, Jun Nishida, et al.. (2024). Loss of Kmt2c or Kmt2d drives brain metastasis via KDM6A-dependent upregulation of MMP3. Nature Cell Biology. 26(7). 1165–1175. 21 indexed citations
3.
Nishida, Jun, et al.. (2020). Abstract 4702: DNA methylation enhances apoptosis resistance of renal cancer cells through the control of mitochondria related gene expression. Cancer Research. 80(16_Supplement). 4702–4702. 1 indexed citations
4.
Nishida, Jun, et al.. (2017). Importance of latissimus dorsi muscle preservation for shoulder function after scapulectomy. Journal of Shoulder and Elbow Surgery. 27(3). 510–514. 4 indexed citations
5.
Nishida, Jun, et al.. (2015). Core needle percutaneous transpedicular vertebral body biopsy. Journal of Spinal Disorders & Techniques. 28(7). 1 indexed citations
6.
Nakajima, Koichi, Yoichi Maekawa, Keisuke Kataoka, et al.. (2013). The ARNT-STAT3 axis regulates the differentiation of intestinal intraepithelial TCR alpha beta(+) CD8 alpha alpha(+) cells. Nature Communications. 4.
7.
Zhuang, Yonghua, Zan Huang, Jun Nishida, Lin Zhang, & Hua Huang. (2009). Signaling Pathways That Lead to the Silencing of the Interleukin-4-Producing Potential in Th1 Cells. Journal of Interferon & Cytokine Research. 29(7). 399–406. 7 indexed citations
9.
Zhuang, Yonghua, Zan Huang, Jun Nishida, et al.. (2007). Role of IFN-γ and IL-12 in Silencing the IL-4-Producing Potential in Th1 Cells (87.29). The Journal of Immunology. 178(1_Supplement). S133–S133. 1 indexed citations
10.
Nishida, Jun, et al.. (2006). Effect of hyaluronic acid on the excursion resistance of tendon graft: A biomechanical in vitro study in a modified human model. Clinical Biomechanics. 21(8). 810–815. 20 indexed citations
11.
Okada, Kyoji, et al.. (2003). Congenital pseudoarthrosis of the tibia treated with low-intensity pulsed ultrasound stimulation (LIPUS). Ultrasound in Medicine & Biology. 29(7). 1061–1064. 11 indexed citations
12.
Ishikawa, Akira, Kyoji Okada, Jun Nishida, et al.. (2003). Dendritic cell and effector cell infiltration in soft tissue sarcomas with reactive lymphoid hyperplasia. Journal of Orthopaedic Science. 8(5). 669–677. 7 indexed citations
13.
Okada, Kenji, Jun Nishida, Takashi Morita, et al.. (2000). Low-grade intraosseous osteosarcoma in Northern Japan: Advantage of AgNOR and MIB-1 staining in differential diagnosis. Human Pathology. 31(6). 633–639. 12 indexed citations
14.
Ehara, Shigeru, et al.. (2000). Pasteurized intercalary autogenous bone graft: radiographic and scintigraphic features. Skeletal Radiology. 29(6). 335–339. 33 indexed citations
15.
Nishida, Jun, John R. Seiler, Peter C. Amadio, & Kai‐Nan An. (1998). Flexor tendon-pulley interaction after annular pulley reconstruction: A biomechanical study in a dog model In vivo. The Journal Of Hand Surgery. 23(2). 279–284. 11 indexed citations
16.
Nishida, Jun, et al.. (1992). Ossified soft tissue recurrence of giant cell tumor of bone. Clinical Imaging. 16(3). 168–171. 11 indexed citations
17.
Hayashiya, Keizo, et al.. (1976). Comparison of Anti-viral Activities of the Silkworm Larvae Reared in Light and in Darkness in Relation to the Formation of Red Fluorescent Protein (RFP). Japanese Journal of Applied Entomology and Zoology. 20(3). 139–143. 8 indexed citations
18.
Hayashiya, Keizo, Jun Nishida, & Fujiyoshi Matsubara. (1968). Inactivation of Nuclear Polyhedrosis Virus in the Digestive Juice of Silkworm Larvae, Bombyx mori L.. Japanese Journal of Applied Entomology and Zoology. 12(4). 189–193. 19 indexed citations
19.
Hayashiya, Keizo, et al.. (1963). Silkworm Rearing on Artificial Diet. Nippon Nōgeikagaku Kaishi. 37(12). 735–737. 6 indexed citations
20.
Matsuura, Keiko, et al.. (1963). Artificial Feed for Silkworm, Bombyx mori. Nippon Nōgeikagaku Kaishi. 37(3). 160–162. 4 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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