Howard H. Chang

292 papers receiving 10.1k citations

Hit Papers

Non-homologous DNA end joining and alternative pathways t...20152026201820222017201520212505007501000

Peers

Howard H. Chang
Comparison fields: 5 of 207
  • Health, Toxicology and Mutagenesis 5.1k
  • Environmental Engineering 2.2k
  • Molecular Biology 1.7k
  • Atmospheric Science 1.6k
  • Global and Planetary Change 1.1k
Replace Shanshan Li with:
Shanshan Li China
Shilu Tong Australia
Michael Davies United Kingdom
Khaiwal Ravindra India
Bing Xu China
Lei Huang China
Jing Wei China
Paul Wilkinson United Kingdom
Ben Armstrong United Kingdom
Ting Wang China
Howard H. Chang relative to Shanshan Li China Shanshan Li's profile →
Citations per field
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Shanshan Li · 1×
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Countries citing papers authored by Howard H. Chang

Since Specialization
Citations

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

Fields of papers citing papers by Howard H. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Howard H. Chang. 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 Howard H. Chang. The network helps show where Howard H. Chang may publish in the future.

Co-authorship network of co-authors of Howard H. Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Howard H. Chang. A scholar is included among the top collaborators of Howard H. Chang 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 Howard H. Chang. Howard H. Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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A national cohort study (2000–2018) of long-term air pollution exposure and incident dementia in older adults in the United Statesbreakdown →
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19 131
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Analyzing Competition Among Internet Players: Qihoo 360 v. Tencent
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About Howard H. Chang

Howard H. Chang is a scholar working on Health, Toxicology and Mutagenesis, Speech and Hearing and Environmental Engineering, having authored 317 papers that have together received 10.5k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (166 papers), Climate Change and Health Impacts (117 papers) and Air Quality Monitoring and Forecasting (49 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (5.1k citations), Environmental Engineering (2.2k citations) and Atmospheric Science (1.6k citations). Howard H. Chang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Michael R. Lieber, Yang Liu, Noritaka Adachi, Nicholas R. Pannunzio, James A. Mulholland, Matthew J. Strickland, Armistead G. Russell, Stefanie Ebelt Sarnat, Guannan Geng and Paige E. Tolbert. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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