Steven K. Huang

3.6k citations
74 papers · 2.6k indexed · h-index 29
Topics
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (37 papers)Neonatal Respiratory Health Research (14 papers)Peptidase Inhibition and Analysis (8 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Steven K. Huang

70 papers receiving 2.6k citations

Peers

Steven K. Huang
Comparison fields: 5 of 119
  • Pulmonary and Respiratory Medicine 1.4k
  • Molecular Biology 788
  • Physiology 300
  • Oncology 268
  • Surgery 265
Replace Jason Jungsik Song with:
Jason Jungsik Song South Korea
Harikrishna Tanjore United States
Carina Becerril Mexico
Min‐Chan Park South Korea
Brigham C. Willis United States
Christina E. Barkauskas United States
Mark Toshner United Kingdom
Norihiko Sakai Japan
Nasreen Khalil Canada
Jannie Marie Bülow Sand Denmark
Steven K. Huang relative to Jason Jungsik Song South Korea Jason Jungsik Song's profile →
Citations per field
00.5×4.5×
Jason Jungsik Song · 1×
Citations per year

Countries citing papers authored by Steven K. Huang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Steven K. Huang

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 8
3 2
4 17
5 50
6 15
7 39
8 31
9 26
10 24
11 22
12 30
13 25
14 59
15 25
16 18
17 55
18 114
19 26
20 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) and Peptidase Inhibition and Analysis (8 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.

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