Hong Peng

1.1k citations
26 papers · 668 indexed · 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 654 citations

Peers

Hong Peng
Comparison fields: 5 of 98
  • Infectious Diseases 210
  • Neurology 105
  • Immunology 132
  • Molecular Biology 308
  • Cancer Research 53
Replace Andrea Latini with:
Andrea Latini Italy
Xiaoyu Luo United States
Robert S. Hagan United States
Sean K. Maden United States
Shima Shahbaz Canada
Karen E. Edeen United States
Bandar A. Suliman Saudi Arabia
Shengqing Wan China
Zhidong Tang China
Furong Qi China
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-authorship network

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
#Work
1 20250
2 20250
3 20245
4 20245
5 20231
6 202221
7 20221
8 20221
9 202144
10 202112
11 20215
12 202113
13 202077
14 2020202
15 201821
16 201662
17 20151
18 20127
19
[Combination of chest physiotherapy and intermittent non-invasive mechanical ventilation for chronic obstructive pulmonary disease patients with respiratory failure].
20092
20 200980

About Hong Peng

Hong Peng is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Neurology, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 26 papers that have together received 668 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Autophagy in Disease and Therapy (3 papers), RNA Research and Splicing (2 papers), Long-Term Effects of COVID-19 (2 papers), Sustainable Development and Environmental Policy (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Infectious Diseases (210 citations), Neurology (105 citations), Immunology (132 citations), Molecular Biology (308 citations) and Cancer Research (53 citations). Hong Peng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ping Chen, Zijing Zhou, Yingying Lü, Miao Cui, Feng Liu, Xiaolin Wang, Gangling Tong, Zhihua Zheng, Yunsheng Xu and Feng Qiu. Their work appears in journals such as Cell Research, Blood, Acta Pharmaceutica Sinica B, Cell Host & Microbe and Economic Analysis and Policy.

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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