W.C. Hwang

1.8k citations
10 papers · 1.4k indexed · 1 hit paper · h-index 8

W.C. Hwang

10 papers receiving 1.3k citations

Hit Papers

Structural and functional bases for broad-spectrum neutra...9232009202620142020250500750

Peers

W.C. Hwang
Comparison fields: 5 of 87
  • Epidemiology 785
  • Immunology 388
  • Infectious Diseases 291
  • Radiology, Nuclear Medicine and Imaging 295
  • Agronomy and Crop Science 79
Replace Ted Kwaks with:
Ted Kwaks Netherlands
Eugenio Santelli United States
Ivan Košík United States
P.J. Coombs United Kingdom
Philippe Alard Belgium
Giuseppe A. Sautto United States
Shuguang Tan China
Syed M. Moin United States
Thierry Bizebard France
S.R. Martin United Kingdom
W.C. Hwang relative to Ted Kwaks Netherlands Ted Kwaks's profile →
Citations per field
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Citations per year

Countries citing papers authored by W.C. Hwang

Since Specialization
Citations

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

Fields of papers citing papers by W.C. Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside W.C. Hwang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with W.C. Hwang Line = papers co-authored together W.C. Hwang links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 201350
2 201312
3
Structural and functional bases for broad-spectrum neutralization of avian and human influenza A virusesbreakdown →
2009923
4
Structural Basis of Neutralization By a Human Anti-Sars Spike Protein Antibody, 80r
20072
5 2006141
6 200259
7 200235
8 200147
9 1997107
10 19961

About W.C. Hwang

W.C. Hwang is a scholar working on Cell Biology, Physiology, Infectious Diseases, Molecular Biology and Animal Science and Zoology, having authored 10 papers that have together received 1.4k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (3 papers), Lipid Membrane Structure and Behavior (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Bacterial Genetics and Biotechnology (2 papers), Ubiquitin and proteasome pathways (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Microtubule and mitosis dynamics (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Epidemiology (785 citations), Immunology (388 citations), Infectious Diseases (291 citations), Radiology, Nuclear Medicine and Imaging (295 citations) and Agronomy and Crop Science (79 citations). W.C. Hwang has collaborated with scholars based in United States, United Kingdom and Saudi Arabia. Frequent co-authors include Jianhua Sui, Wayne A. Marasco, Robert Liddington, Eugenio Santelli, Boguslaw Stec, Richard E. Waugh, Maryam Ali, Anuradha Yammanuru, Daniel Aird and Nancy J. Cox. Their work appears in journals such as Journal of Biological Chemistry, BMC Bioinformatics, Biophysical Journal, Pflügers Archiv - European Journal of Physiology and FEBS Letters.

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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