Hao Long

3.8k total citations
177 papers, 2.6k citations indexed

About

Hao Long is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Hao Long has authored 177 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Pulmonary and Respiratory Medicine, 72 papers in Oncology and 43 papers in Molecular Biology. Recurrent topics in Hao Long's work include Lung Cancer Diagnosis and Treatment (51 papers), Lung Cancer Treatments and Mutations (45 papers) and Esophageal Cancer Research and Treatment (24 papers). Hao Long is often cited by papers focused on Lung Cancer Diagnosis and Treatment (51 papers), Lung Cancer Treatments and Mutations (45 papers) and Esophageal Cancer Research and Treatment (24 papers). Hao Long collaborates with scholars based in China, United States and Germany. Hao Long's co-authors include Songtao Qi, Tiehua Rong, Yongbin Lin, Ye Song, Dongrong Situ, Guowei Ma, Weiyi Fang, Peng Lin, Xian Zhang and Tie-Hua Rong and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Hao Long

171 papers receiving 2.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hao Long 1.1k 913 853 565 554 177 2.6k
Hirofumi Uehara 1.2k 1.2× 888 1.0× 805 0.9× 665 1.2× 300 0.5× 79 2.2k
Yoon Jin 898 0.8× 912 1.0× 1.1k 1.3× 718 1.3× 344 0.6× 178 3.0k
Yingyong Hou 1.0k 1.0× 1.1k 1.2× 1.1k 1.2× 602 1.1× 787 1.4× 233 2.9k
Scott Potenta 516 0.5× 1.3k 1.4× 778 0.9× 593 1.0× 422 0.8× 13 2.7k
Shiu‐Feng Huang 944 0.9× 1.4k 1.5× 1.2k 1.4× 596 1.1× 327 0.6× 78 2.9k
D. J. Richel 894 0.8× 725 0.8× 1.6k 1.9× 513 0.9× 511 0.9× 38 2.6k
Jean‐Sébastien Frenel 809 0.8× 801 0.9× 1.4k 1.6× 708 1.3× 284 0.5× 188 2.7k
In‐Gu Do 691 0.6× 1.1k 1.2× 1.0k 1.2× 516 0.9× 377 0.7× 97 2.5k
David Garfield 1.2k 1.1× 769 0.8× 1.1k 1.2× 622 1.1× 273 0.5× 52 2.4k
Akio Horiguchi 684 0.6× 940 1.0× 586 0.7× 617 1.1× 546 1.0× 161 2.4k

Countries citing papers authored by Hao Long

Since Specialization
Citations

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

Fields of papers citing papers by Hao Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Long

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Long. A scholar is included among the top collaborators of Hao Long 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 Hao Long. Hao Long 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.
Hu, Yu‐Chen, Zijian Chen, Xiaoyan Wu, et al.. (2025). Hypophysectomy, pituitary neuroadenolysis and pituitary radiosurgery for the treatment of refractory cancer pain: a historical review and mechanism investigation. Frontiers in Neurology. 15. 1529944–1529944. 1 indexed citations
2.
Kusunoki, Yoshihiro, Chenyu Li, Hao Long, et al.. (2025). Gasdermin D deficiency aggravates nephrocalcinosis-related chronic kidney disease with rendering macrophages vulnerable to necroptosis. Cell Death and Disease. 16(1). 283–283.
3.
Wang, Yizhi, Si Chen, Yan Tang, et al.. (2024). TLS and immune cell profiling: immunomodulatory effects of immunochemotherapy on tumor microenvironment in resectable stage III NSCLC. Frontiers in Immunology. 15. 1499731–1499731. 1 indexed citations
4.
Liu, Jun, Ke Ji, Hao Long, et al.. (2024). Dysregulation of phosphoenolpyruvate carboxykinase in cancers: A comprehensive analysis. Cellular Signalling. 120. 111198–111198. 7 indexed citations
5.
Ding, Liang, Pingli Wang, Jianzhen Shan, et al.. (2024). EP.08D.09 Efficacy and Safety of Neoadjuvant Tislelizumab Plus Chemotherapy for the Treatment of Non-Small Cell Lung Cancer: a Pooled Analysis. Journal of Thoracic Oncology. 19(10). S571–S572.
7.
Chen, Yen‐Hsu, Zone‐Ching Lin, Mi Zhou, et al.. (2024). P1.08C.03 Updated Event-Free Survival of Tislelizumab Plus Chemotherapy Asneoadjuvant/adjuvant Therapy for Stage IIB-IIIC NSCLC (lungmark Study). Journal of Thoracic Oncology. 19(10). S181–S181. 1 indexed citations
9.
Long, Hao, et al.. (2023). MRI radiomic features of peritumoral edema may predict the recurrence sites of glioblastoma multiforme. Frontiers in Oncology. 12. 1042498–1042498. 20 indexed citations
10.
Wu, Zhiyong, Jie Luo, Anqi Xu, et al.. (2020). MiR-4310 induced by SP1 targets PTEN to promote glioma progression. Cancer Cell International. 20(1). 567–567. 12 indexed citations
11.
Long, Hao, Yajun Chen, & Jianping Gong. (2020). Research progress on protective effect of liver ischemia-reperfusion injury after liver transplantation. International Journal of Surgery. 47(3). 212–216. 1 indexed citations
12.
Wang, Yan, et al.. (2019). Prognostic Significance Of Platelet-To-Lymphocyte Ratio (PLR) And Mean Platelet Volume (MPV) During Etoposide-Based First-Line Treatment In Small Cell Lung Cancer Patients. SHILAP Revista de lepidopterología. 2 indexed citations
13.
Jiang, Long, Shanshan Jiang, Wenjie Zhou, et al.. (2019). Oxidized low density lipoprotein receptor 1 promotes lung metastases of osteosarcomas through regulating the epithelial-mesenchymal transition. Journal of Translational Medicine. 17(1). 369–369. 15 indexed citations
14.
Jiang, Long, Ze-Rui Zhao, Shanshan Jiang, et al.. (2015). Immunological markers predict the prognosis of patients with squamous non-small cell lung cancer. Immunologic Research. 62(3). 316–324. 21 indexed citations
15.
Jiang, Long, Shanshan Jiang, Yongbin Lin, et al.. (2015). Nomogram to Predict Occult N2 Lymph Nodes Metastases in Patients With Squamous Nonsmall Cell Lung Cancer. Medicine. 94(46). e2054–e2054. 14 indexed citations
16.
Long, Hao & Haiyan Chen. (2015). A self-designed three-dimensional guiding instrument for percutaneous thoracolumbar pedicle screw implantation. Zhonghua chuangshang guke zazhi. 17(12). 1042–1046. 1 indexed citations
17.
Zhang, Yigong, Zheng Yan, Long Jiang, et al.. (2014). The prognostic value of serum HE4 in lung cancer. Zhonghua fangshe yixue yu fanghu zazhi. 34(6). 423–426. 3 indexed citations
18.
Su, Xiao‐Dong, Hao Long, Peng Lin, et al.. (2010). Survival analysis of 220 patients with completely resected stage-II non-small cell lung cancer. Chinese Journal of Cancer. 29(5). 538–544. 8 indexed citations
19.
Su, Xiao, Hao Long, Jian Fu, et al.. (2008). [Surgical treatment and prognosis in patients with squamous cell carcinoma of thoracic esophagus].. PubMed. 46(17). 1333–6. 9 indexed citations
20.
Su, Xiao, Xin Wang, Hao Long, et al.. (2007). [Prognostic effect of mediastinal lymph node dissection in patients with stage I non-small cell lung cancer].. PubMed. 45(22). 1543–5. 1 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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