Hongwei Yao
- Molecular Biology top 2%
- Physiology top 1%
- Pulmonary and Respiratory Medicine top 1%
- Geriatrics and Gerontology top 0.2%
- Epidemiology top 5%
- Co-authors
- Irfan RahmanIsaac K. SundarJae‐Woong HwangSamuel CaitoSangwoon ChungR. SaravananGnanapragasam ArunachalamJanice Gerloff
- Topics
- Neonatal Respiratory Health Research (25 papers)Sirtuins and Resveratrol in Medicine (18 papers)Genomics, phytochemicals, and oxidative stress (15 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Hongwei Yao
101 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Molecular Biology 2.7k
- Physiology 1.9k
- Pulmonary and Respiratory Medicine 1.8k
- Geriatrics and Gerontology 1.1k
- Epidemiology 946
Countries citing papers authored by Hongwei Yao
This map shows the geographic impact of Hongwei Yao'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 Hongwei Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongwei Yao more than expected).
Fields of papers citing papers by Hongwei Yao
This network shows the impact of papers produced by Hongwei Yao. 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 Hongwei Yao. The network helps show where Hongwei Yao may publish in the future.
Co-authorship network of co-authors of Hongwei Yao
This figure shows the co-authorship network connecting the top 25 collaborators of Hongwei Yao. A scholar is included among the top collaborators of Hongwei Yao 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 Hongwei Yao. Hongwei Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 25 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 12 | |
| 10 | 28 | |
| 11 | 36 | |
| 12 | 56 | |
| 13 | 47 | |
| 14 | 72 | |
| 15 | 101 | |
| 16 | 36 | |
| 17 | 127 | |
| 18 | Tissue and subcellular distribution of insecticide-resistance related enzymes in larvae of striped stem borer, Chilo suppressalis (Walker). | 1 |
| 19 | 6 | |
| 20 | 120 |
About Hongwei Yao
Hongwei Yao is a scholar working on Geriatrics and Gerontology, Pulmonary and Respiratory Medicine and Endocrine and Autonomic Systems, having authored 103 papers that have together received 6.6k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (25 papers), Sirtuins and Resveratrol in Medicine (18 papers) and Genomics, phytochemicals, and oxidative stress (15 papers). The work is most often cited by research in Geriatrics and Gerontology (1.1k citations), Aging (145 citations) and Physiology (1.9k citations). Hongwei Yao has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Irfan Rahman, Isaac K. Sundar, Jae‐Woong Hwang, Samuel Caito, Sangwoon Chung, R. Saravanan, Gnanapragasam Arunachalam, Janice Gerloff, Chad A. Lerner and David Adenuga. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.
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.