Hao Long

3.7k citations
164 papers · 2.5k · h-index 26

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Lung Cancer Diagnosis and Treatment
    • Lung Cancer Treatments and Mutations
    • Metastasis and carcinoma case studies

Papers in

    • Lung Cancer Diagnosis and Treatment 35
    • Lung Cancer Treatments and Mutations 19
    • Ferroptosis and cancer prognosis 8
    • Cancer Immunotherapy and Biomarkers 12
    • Lung Cancer Research Studies 10

Hao Long

158 papers receiving 2.5k citations

Peers

Hao Long
Comparison fields: 5 of 102
  • Cancer Research 376
  • Pulmonary and Respiratory Medicine 700
  • Oncology 521
  • Genetics 127
  • Surgery 400
Replace Yoon Jin with:
Yoon Jin South Korea
Makoto Sumitomo Japan
Ananth Kadambi United States
In‐Gu Do South Korea
Reinhard von Roemeling United States
Konrad Steinestel Germany
Yingyong Hou China
Vesselina G. Cooke United States
Jason Kaplan United States
Hao Long relative to Yoon Jin South Korea Yoon Jin's profile →
Citations per field
00.5×1.5×1.9×
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 164 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014185
2 2012151
3 201485
4 201784
5 200983
6 201480
7 202179
8 201268
9 201063
10 201161
11 201347
12 201438
13 201837
14 201934
15 202134
16 201534
17 201730
18 202030
19 201530
20 201329

About Hao Long

Hao Long is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Surgery, Molecular Biology and Cancer Research, having authored 164 papers that have together received 2.5k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (35 papers), Esophageal Cancer Research and Treatment (19 papers), Lung Cancer Treatments and Mutations (19 papers), Cancer Immunotherapy and Biomarkers (12 papers), Lung Cancer Research Studies (10 papers), Ferroptosis and cancer prognosis (8 papers), Circular RNAs in diseases (6 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Cancer Research (376 citations), Pulmonary and Respiratory Medicine (700 citations), Oncology (521 citations), Genetics (127 citations) and Surgery (400 citations). Hao Long has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Songtao Qi, Tiehua Rong, Yongbin Lin, Dongrong Situ, Ye Song, Guowei Ma, Weiyi Fang, Tie-Hua Rong, Peng Lin and Lanjun Zhang. Their work appears in journals such as Annals of Surgical Oncology, Frontiers in Oncology, Oncotarget, Journal of Thoracic and Cardiovascular Surgery and Cancer Cell International.

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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