Simo Huang
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Autoimmune Bullous Skin Diseases 10
- Dermatology 11
- Cutaneous lymphoproliferative disorders research 4
- Co-authors
- Kiran Motaparthi (6 shared papers)Dayang Zou (13 shared papers)Liuyu Huang (13 shared papers)Zhan Yang (12 shared papers)Derong Dong (11 shared papers)Huiping Liu (5 shared papers)Robert P. Frantz (1 shared paper)Ningwei Liu (5 shared papers)
- Journals
- Frontiers in Microbiology (5 papers)Scientific Reports (4 papers)Journal of the American Academy of Dermatology (3 papers)Journal of Cutaneous Pathology (2 papers)Clinics in Dermatology (2 papers)
- Partner nations
- United StatesChinaSpain
In The Last Decade
Simo Huang
43 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 108
- Molecular Medicine 145
- Cancer Research 329
- Endocrinology 74
- Dermatology 103
- Molecular Biology 704
Countries citing papers authored by Simo Huang
This map shows the geographic impact of Simo 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 Simo Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simo Huang more than expected).
Fields of papers citing papers by Simo Huang
This network shows the impact of papers produced by Simo 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 Simo Huang. The network helps show where Simo Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Simo Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 209 | |
| 2 | 2016 | 144 | |
| 3 | 2021 | 119 | |
| 4 | 2016 | 108 | |
| 5 | 2017 | 106 | |
| 6 | 2012 | 90 | |
| 7 | 2016 | 81 | |
| 8 | 2021 | 53 | |
| 9 | 2015 | 53 | |
| 10 | 2015 | 50 | |
| 11 | 2015 | 48 | |
| 12 | 2016 | 39 | |
| 13 | 2014 | 34 | |
| 14 | 2018 | 33 | |
| 15 | 2014 | 33 | |
| 16 | 2017 | 27 | |
| 17 | 2021 | 23 | |
| 18 | 2018 | 23 | |
| 19 | 2021 | 20 | |
| 20 | 2017 | 19 |
About Simo Huang
Simo Huang is a scholar working on Pathology and Forensic Medicine, Dermatology, Molecular Biology, Epidemiology and Biomedical Engineering, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include Autoimmune Bullous Skin Diseases (10 papers), Biosensors and Analytical Detection (6 papers), Antibiotic Resistance in Bacteria (6 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers), Urticaria and Related Conditions (5 papers), Drug-Induced Adverse Reactions (4 papers), Nail Diseases and Treatments (4 papers) and Cutaneous lymphoproliferative disorders research (4 papers). The work is most often cited by research in Molecular Medicine (145 citations), Cancer Research (329 citations), Endocrinology (74 citations), Dermatology (103 citations) and Molecular Biology (704 citations). Simo Huang has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Kiran Motaparthi, Dayang Zou, Liuyu Huang, Zhan Yang, Derong Dong, Huiping Liu, Robert P. Frantz, Ningwei Liu, Aleix Prat and Jessica Bockhorn. Their work appears in journals such as Frontiers in Microbiology, Scientific Reports, Journal of the American Academy of Dermatology, Journal of Cutaneous Pathology and Clinics in Dermatology.
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.