S N Huang

1.6k citations
19 papers · 1.3k indexed · h-index 13

S N Huang

18 papers receiving 1.2k citations

Peers

S N Huang
Comparison fields: 5 of 100
  • Hepatology 395
  • Epidemiology 563
  • Immunology 320
  • Virology 37
  • Immunology and Allergy 45
Replace Laure Perrin‐Cocon with:
Laure Perrin‐Cocon France
Cong Xu China
Silke Hegenbarth Germany
Tobias Mueller Germany
Ki Jeong Lee United States
Kenneth S. S. Chang United States
Soizic Daniel United States
Yongxin Mu China
Masumi Shimizu Japan
Mitsukiyo Fujii Japan
S N Huang relative to Laure Perrin‐Cocon France Laure Perrin‐Cocon's profile →
Citations per field
00.5×1.5×
Laure Perrin‐Cocon · 1×
Citations per year

Countries citing papers authored by S N Huang

Since Specialization
Citations

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

Fields of papers citing papers by S N Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside S N Huang, 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 S N Huang Line = papers co-authored together S N Huang links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201723
2
Well-differentiated fetal adenocarcinoma of the lung.
20000
3 1995114
4 199461
5 1994169
6 1993384
7 19936
8 199030
9
Pathology of viral hepatitis.
19872
10 19864
11 198137
12
Electron and immunoelectron microscopic study on liver tissues of marmosets infected with hepatitis A virus.
197922
13 197923
14 197814
15
Application of immunofluorescent staining on paraffin sections improved by trypsin digestion.
1976345
16
Prolonged survival in three brothers with severe type 2 Crigler-Najjar syndrome. Ultrastructural and metabolic studies.
197540
17
Ultrastructural changes of Clara and type II alveolar cells in adrenalin-induced pulmonary edema in mice.
197133
18 19682
19
Mechanism of plasma albumin loss in carcinoma of the colon.
19682

About S N Huang

S N Huang is a scholar working on Hepatology, Cell Biology and Pharmacology, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (4 papers), Viral gastroenteritis research and epidemiology (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Diabetes and associated disorders (2 papers), Hepatitis Viruses Studies and Epidemiology (2 papers), Immunotherapy and Immune Responses (2 papers) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Hepatology (395 citations), Epidemiology (563 citations) and Immunology (320 citations). S N Huang has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Francis V. Chisari, S Wirth, Kiyohiro Ando, Takashi Moriyama, Luca G. Guidotti, H J Schlicht, Robert D. Schreiber, Yoshihiro Mitsuhashi, Jorge Filmus and Janusz Rak. Their work appears in journals such as The Journal of Experimental Medicine, The Journal of Cell Biology and The Journal of Immunology.

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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