Hao Long

3.8k citations
177 papers · 2.6k · h-index 27

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Lung Cancer Diagnosis and Treatment
    • Lung Cancer Treatments and Mutations
    • Gastric Cancer Management and Outcomes

Papers in

    • Lung Cancer Diagnosis and Treatment 51
    • Lung Cancer Treatments and Mutations 45
    • Gastric Cancer Management and Outcomes 13
    • Lung Cancer Research Studies 22
    • Cancer Immunotherapy and Biomarkers 18
    • Cancer Diagnosis and Treatment 12

Hao Long

171 papers receiving 2.6k citations

Peers

Hao Long
Comparison fields: 5 of 116
  • Cancer Research 565
  • Pulmonary and Respiratory Medicine 1.1k
  • Oncology 853
  • Genetics 167
  • Molecular Biology 913
Replace Yoon Jin with:
Yoon Jin South Korea
Shiu‐Feng Huang Taiwan
In‐Gu Do South Korea
David Garfield United States
Fei Zhou China
Hiroyasu Kaneda Japan
Hirofumi Uehara Japan
Kazuyuki Ishida Japan
Vassiliki Kotoula Greece
Hao Long relative to Yoon Jin South Korea Yoon Jin's profile →
Citations per field
00.5×1.5×2.1×
Yoon Jin · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Hao Long, 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 Hao Long Line = papers co-authored together Hao Long links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 177 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014179
2 2012149
3 201783
4 200983
5 201481
6 201479
7 202175
8 201267
9 201060
10 201159
11 201346
12 201738
13 201837
14 201437
15 201533
16 201932
17 201532
18 202132
19 201330
20 202030

About Hao Long

Hao Long is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Surgery and Cancer Research, having authored 177 papers that have together received 2.6k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (51 papers), Lung Cancer Treatments and Mutations (45 papers), Esophageal Cancer Research and Treatment (24 papers), Lung Cancer Research Studies (22 papers), Cancer Immunotherapy and Biomarkers (18 papers), Radiomics and Machine Learning in Medical Imaging (15 papers), Gastric Cancer Management and Outcomes (13 papers) and Cancer Diagnosis and Treatment (12 papers). The work is most often cited by research in Cancer Research (565 citations), Pulmonary and Respiratory Medicine (1.1k citations), Oncology (853 citations), Genetics (167 citations) and Molecular Biology (913 citations). Hao Long has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Songtao Qi, Tiehua Rong, Yongbin Lin, Ye Song, Dongrong Situ, Guowei Ma, Weiyi Fang, Peng Lin, Xian Zhang and Lanjun Zhang. Their work appears in journals such as Annals of Surgical Oncology, Journal of Clinical Oncology, Oncotarget, Frontiers in Oncology and Scientific Reports.

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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