Ian Huang
- Infectious Diseases top 0.5%
- Neurology top 1%
- Oncology top 5%
- Epidemiology top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Raymond PranataMichael Anthonius LimAntonia Anna LukitoBachti AlisjahbanaAmaylia OehadianEmir YonasSunu Budhi RaharjoRachel Vania
- Topics
- COVID-19 Clinical Research Studies (25 papers)Long-Term Effects of COVID-19 (16 papers)SARS-CoV-2 and COVID-19 Research (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaMetabolismPostgraduate Medical Journal
- Partner nations
- IndonesiaSouth KoreaUnited States
In The Last Decade
Ian Huang
44 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Infectious Diseases 2.2k
- Neurology 1.2k
- Oncology 717
- Epidemiology 441
- Cardiology and Cardiovascular Medicine 341
Countries citing papers authored by Ian Huang
This map shows the geographic impact of Ian 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 Ian Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Huang more than expected).
Fields of papers citing papers by Ian Huang
This network shows the impact of papers produced by Ian 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 Ian Huang. The network helps show where Ian Huang may publish in the future.
Co-authorship network of co-authors of Ian Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Ian Huang. A scholar is included among the top collaborators of Ian 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 Ian Huang. Ian Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 27 | |
| 4 | 53 | |
| 5 | 40 | |
| 6 | 49 | |
| 7 | 5 | |
| 8 | 101 | |
| 9 | 49 | |
| 10 | 84 | |
| 11 | 35 | |
| 12 | Lymphopenia in severe coronavirus disease-2019 (COVID-19): systematic review and meta-analysisbreakdown → | 431 |
| 13 | 0 | |
| 14 | 35 | |
| 15 | 147 | |
| 16 | Diabetes mellitus is associated with increased mortality and severity of disease in COVID-19 pneumonia – A systematic review, meta-analysis, and meta-regressionbreakdown → | 654 |
| 17 | 37 | |
| 18 | 6 | |
| 19 | 1 | |
| 20 | 13 |
About Ian Huang
Ian Huang is a scholar working on Infectious Diseases, Neurology and Critical Care and Intensive Care Medicine, having authored 47 papers that have together received 3.3k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (25 papers), Long-Term Effects of COVID-19 (16 papers) and SARS-CoV-2 and COVID-19 Research (8 papers). The work is most often cited by research in Infectious Diseases (2.2k citations), Neurology (1.2k citations) and Critical Care and Intensive Care Medicine (182 citations). Ian Huang has collaborated with scholars based in Indonesia, South Korea and United States. Frequent co-authors include Raymond Pranata, Michael Anthonius Lim, Antonia Anna Lukito, Bachti Alisjahbana, Amaylia Oehadian, Emir Yonas, Sunu Budhi Raharjo, Rachel Vania, Eka Julianta Wahjoepramono and Julius July. Their work appears in journals such as SHILAP Revista de lepidopterología, Metabolism and Postgraduate Medical Journal.
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.