Stephen S. Hwang

2.2k citations
38 papers · 1.8k indexed · 1 hit paper · h-index 17
Topics
Analytical Chemistry and Chromatography (8 papers)Computational Drug Discovery Methods (5 papers)Antibiotics Pharmacokinetics and Efficacy (5 papers)

In The Last Decade

Stephen S. Hwang

37 papers receiving 1.7k citations

Hit Papers

Identification of the Envelope V3 Loop as the Primary Det...19912026200220141991250500750

Peers

Stephen S. Hwang
Comparison fields: 5 of 118
  • Virology 812
  • Infectious Diseases 531
  • Immunology 376
  • Molecular Biology 314
  • Anesthesiology and Pain Medicine 257
Replace Robin Hull with:
Robin Hull United Kingdom
Mark Laughlin United States
Ann Hsu United States
Denis Beauchamp Canada
Katrina L. Mealey United States
B Rouveix France
Yongtao Sun China
Yuen Tan China
Takeshi Nara Japan
Belén Sádaba Spain
Stephen S. Hwang relative to Robin Hull United Kingdom Robin Hull's profile →
Citations per field
00.5×8.9×
Robin Hull · 1×
Citations per year

Countries citing papers authored by Stephen S. Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Stephen S. Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen S. Hwang. 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 Stephen S. Hwang. The network helps show where Stephen S. Hwang may publish in the future.

Co-authorship network of co-authors of Stephen S. Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen S. Hwang. A scholar is included among the top collaborators of Stephen S. Hwang 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 Stephen S. Hwang. Stephen S. Hwang 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 40
2 29
3 10
4 23
5 8
6 27
7 16
8 15
9 9
10 4
11 27
12 0
13 18
14 5
15 24
16 6
17 104
18 1
19 3
20 63

About Stephen S. Hwang

Stephen S. Hwang is a scholar working on Pharmaceutical Science, Anesthesiology and Pain Medicine and Pharmacology, having authored 38 papers that have together received 1.8k indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (8 papers), Computational Drug Discovery Methods (5 papers) and Antibiotics Pharmacokinetics and Efficacy (5 papers). The work is most often cited by research in Virology (812 citations), Anesthesiology and Pain Medicine (257 citations) and Infectious Diseases (531 citations). Stephen S. Hwang has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Bryan R. Cullen, H. Kim Lyerly, Steven L. Shafer, D. R. Stanski, John R. Varvel, Suneel Gupta, Mary Southam, Cristina Giachetti, Bert L. Semler and D E Duggan. Their work appears in journals such as Science, Journal of Virology and Anesthesiology.

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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