Hideji Nishida

1.4k citations
45 papers · 993 · h-index 19

Impact in

Papers in

Hideji Nishida

44 papers receiving 980 citations

Peers

Hideji Nishida
Comparison fields: 5 of 87
  • Rheumatology 265
  • Pulmonary and Respiratory Medicine 472
  • Surgery 434
  • Oncology 186
  • Immunology 100
Replace Aya Sasaki with:
Aya Sasaki Japan
Francis Young‐In Lee United States
Francis Y. Lee United States
Chongqi Tu China
Akira Nabeshima Japan
Scott Sommerville Australia
Sander M. Botter Switzerland
Alexis Donneys United States
Jason A. Horton United States
Henk‐Jan Prins Netherlands
Hideji Nishida relative to Aya Sasaki Japan Aya Sasaki's profile →
Citations per field
00.5×2.6×
Aya Sasaki · 1×
Citations per year

Countries citing papers authored by Hideji Nishida

Since Specialization
Citations

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

Fields of papers citing papers by Hideji Nishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hideji Nishida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hideji Nishida Line = papers co-authored together Hideji Nishida links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012139
2 201771
3 201068
4 201157
5 201255
6
Caffeine induces apoptosis of osteosarcoma cells by inhibiting AKT/mTOR/S6K, NF-κB and MAPK pathways.
201247
7 201444
8 201140
9 201334
10
Caffeine-potentiated chemotherapy for metastatic carcinoma and lymphoma of bone and soft tissue.
200533
11 201330
12 201129
13 200928
14 201026
15 201625
16 201120
17 201718
18 201218
19 201318
20 201516

About Hideji Nishida

Hideji Nishida is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Oncology, Rheumatology and Molecular Biology, having authored 45 papers that have together received 993 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (25 papers), Bone Tumor Diagnosis and Treatments (15 papers), Management of metastatic bone disease (6 papers), Cardiac tumors and thrombi (6 papers), Immunotherapy and Immune Responses (6 papers), Vascular Tumors and Angiosarcomas (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Orthopaedic implants and arthroplasty (4 papers). The work is most often cited by research in Rheumatology (265 citations), Pulmonary and Respiratory Medicine (472 citations), Surgery (434 citations), Oncology (186 citations) and Immunology (100 citations). Hideji Nishida has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Hiroyuki Tsuchiya, Norio Yamamoto, Toshiharu Shirai, Akihiko Takeuchi, Katsuhiro Hayashi, Shinji Miwa, Yoshikazu Tanzawa, Koji Watanabe, Junsuke Nakase and Katsuro Tomita. Their work appears in journals such as International Journal of Clinical Oncology, PLoS ONE, Journal of Clinical Oncology, Cancer and The Journal of Arthroplasty.

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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