S K Huang

31 total papers · 1.9k total citations
23 papers, 1.5k citations indexed

About

S K Huang is a scholar working on Immunology, Molecular Biology and Physiology. According to data from OpenAlex, S K Huang has authored 23 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 7 papers in Molecular Biology and 6 papers in Physiology. Recurrent topics in S K Huang's work include Asthma and respiratory diseases (6 papers), Immune Cell Function and Interaction (3 papers) and Food Allergy and Anaphylaxis Research (3 papers). S K Huang is often cited by papers focused on Asthma and respiratory diseases (6 papers), Immune Cell Function and Interaction (3 papers) and Food Allergy and Anaphylaxis Research (3 papers). S K Huang collaborates with scholars based in United States, Taiwan and China. S K Huang's co-authors include Marsha Wills‐Karp, Fred D. Finkelman, Xia Li, Daniel J. O’Hearn, Stephen H. Gavett, David G. Marsh, Giulio F. Paciotti, Haiyin Xiao, Jörg Kleine‐Tebbe and L M Lichtenstein and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

S K Huang

23 papers receiving 1.4k citations

Hit Papers

Interleukin 12 inhibits a... 1995 2026 2005 2015 1995 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
S K Huang 856 768 427 243 198 23 1.5k
Cláudia Zuany‐Amorim 777 0.9× 960 1.3× 299 0.7× 296 1.2× 200 1.0× 25 1.7k
Masanao Shibasaki 702 0.8× 444 0.6× 381 0.9× 182 0.7× 191 1.0× 36 1.2k
J J Mascali 570 0.7× 564 0.7× 198 0.5× 253 1.0× 190 1.0× 22 1.3k
Lan Xu 557 0.7× 886 1.2× 352 0.8× 175 0.7× 72 0.4× 18 1.6k
Klaus J. Erb 539 0.6× 985 1.3× 242 0.6× 188 0.8× 189 1.0× 44 1.7k
Ellen Dilissen 693 0.8× 569 0.7× 203 0.5× 237 1.0× 300 1.5× 38 1.4k
Nathalie Pagé 711 0.8× 789 1.0× 204 0.5× 373 1.5× 346 1.7× 31 1.6k
Alan R. McEuen 833 1.0× 913 1.2× 718 1.7× 229 0.9× 203 1.0× 39 1.7k
N. I. Leaves 633 0.7× 335 0.4× 302 0.7× 269 1.1× 136 0.7× 13 1.3k
Ulrich M. Zissler 554 0.6× 360 0.5× 262 0.6× 204 0.8× 353 1.8× 41 1.1k

Countries citing papers authored by S K Huang

Since Specialization
Citations

This map shows the geographic impact of S 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 S 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 S K Huang more than expected).

Fields of papers citing papers by S K Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S K Huang

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

All Works

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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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