Steven K. Huang
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 37
- Neonatal Respiratory Health Research 14
- Occupational and environmental lung diseases 7
- Medical Imaging and Pathology Studies 7
- Pulmonary Hypertension Research and Treatments 7
- Hepatology top 5%
- Genetics top 10%
- Immunology top 10%
- Cancer Research top 10%
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- Peptidase Inhibition and Analysis 8
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- Epigenetics and DNA Methylation 5
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- Occupational exposure and asthma 4
- Co-authors
- Marc Peters‐GoldenEric S. WhiteAnne M. ScruggsScott H. WettlauferCory M. HogaboamJeffrey C. HorowitzKevin R. FlahertyJeffrey L. Myers
- Journals
- Nucleic Acids Research (1 paper)Journal of Biological Chemistry (4 papers)Journal of Clinical Investigation (3 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Steven K. Huang
70 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 119
- Pulmonary and Respiratory Medicine 1.4k
- Hepatology 142
- Genetics 137
- Immunology 259
- Cancer Research 179
Countries citing papers authored by Steven K. Huang
This map shows the geographic impact of Steven K. Huang'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 Steven K. Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven K. Huang more than expected).
Fields of papers citing papers by Steven K. Huang
This network shows the impact of papers produced by Steven K. Huang. 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 Steven K. Huang. The network helps show where Steven K. Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steven K. Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 17 | |
| 5 | 2022 | 50 | |
| 6 | 2021 | 15 | |
| 7 | 2020 | 39 | |
| 8 | 2020 | 31 | |
| 9 | 2019 | 26 | |
| 10 | 2018 | 24 | |
| 11 | 2018 | 22 | |
| 12 | 2016 | 30 | |
| 13 | 2016 | 25 | |
| 14 | 2015 | 59 | |
| 15 | 2015 | 25 | |
| 16 | 2014 | 18 | |
| 17 | 2013 | 55 | |
| 18 | 2010 | 114 | |
| 19 | 2008 | 26 | |
| 20 | 2007 | 60 |
About Steven K. Huang
Steven K. Huang is a scholar working on Pulmonary and Respiratory Medicine, Issues, ethics and legal aspects and Health Informatics, having authored 74 papers that have together received 2.6k indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (37 papers), Neonatal Respiratory Health Research (14 papers), Peptidase Inhibition and Analysis (8 papers), Occupational and environmental lung diseases (7 papers), Medical Imaging and Pathology Studies (7 papers), Pulmonary Hypertension Research and Treatments (7 papers), Epigenetics and DNA Methylation (5 papers) and Occupational exposure and asthma (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.4k citations), Hepatology (142 citations) and Genetics (137 citations). Steven K. Huang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Marc Peters‐Golden, Eric S. White, Anne M. Scruggs, Scott H. Wettlaufer, Cory M. Hogaboam, Jeffrey C. Horowitz, Kevin R. Flaherty, Jeffrey L. Myers, Fernando J. Martínez and David M. Aronoff. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.