Hong Peng

1.1k citations
25 papers · 690 · h-index 11

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Neurology top 10%
    • Long-Term Effects of COVID-19

Papers in

Hong Peng

24 papers receiving 678 citations

Peers

Hong Peng
Comparison fields: 5 of 93
  • Infectious Diseases 200
  • Neurology 94
  • Immunology 124
  • Molecular Biology 284
  • Cancer Research 44
Replace Andrea Latini with:
Andrea Latini Italy
Robert S. Hagan United States
Bandar A. Suliman Saudi Arabia
Christoph Schultheiß Germany
Eleni‐Dimitra Papanagnou Greece
Katrina L. Salazar United States
Xiangfan Yin United States
Geoffrey T. Ivison United States
Shengqing Wan China
Annie Riera Leal Mexico
Hong Peng relative to Andrea Latini Italy Andrea Latini's profile →
Citations per field
00.5×1.5×2.1×
Andrea Latini · 1×
Citations per year

Countries citing papers authored by Hong Peng

Since Specialization
Citations

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

Fields of papers citing papers by Hong Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020204
2 200981
3 202080
4 201665
5 201162
6 202146
7 202027
8 202227
9 201822
10 202114
11 202111
12
[Oral health-related quality of life in patients with oral lichen planus].
20129
13 20208
14 20127
15 20246
16 20215
17 20245
18
[Value of tonsillectomy in patient with obstructive sleep apnea hypopnea syndrome with Friedman staging I].
20123
19 20212
20
[Combination of chest physiotherapy and intermittent non-invasive mechanical ventilation for chronic obstructive pulmonary disease patients with respiratory failure].
20092

About Hong Peng

Hong Peng is a scholar working on Molecular Biology, Infectious Diseases, Neurology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 25 papers that have together received 690 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (4 papers), Autophagy in Disease and Therapy (3 papers), RNA Research and Splicing (2 papers), Long-Term Effects of COVID-19 (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), Virus-based gene therapy research (1 paper) and Traumatic Brain Injury and Neurovascular Disturbances (1 paper). The work is most often cited by research in Infectious Diseases (200 citations), Neurology (94 citations), Immunology (124 citations), Molecular Biology (284 citations) and Cancer Research (44 citations). Hong Peng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zijing Zhou, Ping Chen, Yingying Lü, Miao Cui, Gangling Tong, Feng Qiu, Yunsheng Xu, Xiaolin Wang, Feng Liu and Zhihua Zheng. Their work appears in journals such as Cell Research, Signal Transduction and Targeted Therapy, Acta Pharmaceutica Sinica B, Chemico-Biological Interactions and Nucleic Acids Research.

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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