Ian Huang

5.1k total citations · 3 hit papers
47 papers, 3.3k citations indexed

About

Ian Huang is a scholar working on Infectious Diseases, Neurology and Oncology. According to data from OpenAlex, Ian Huang has authored 47 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Infectious Diseases, 17 papers in Neurology and 9 papers in Oncology. Recurrent topics in Ian Huang's 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). Ian Huang is often cited by papers focused on 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). Ian Huang collaborates with scholars based in Indonesia, South Korea and United States. Ian Huang's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Metabolism and Postgraduate Medical Journal.

In The Last Decade

Ian Huang

44 papers receiving 3.2k citations

Hit Papers

Diabetes mellitus is associated with increased mortality ... 2020 2026 2022 2024 2020 2020 2020 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ian Huang Indonesia 25 2.2k 1.2k 717 441 341 47 3.3k
Michael Anthonius Lim Indonesia 27 2.0k 0.9× 1.0k 0.9× 737 1.0× 460 1.0× 260 0.8× 49 3.2k
Yuli Cai China 12 2.6k 1.2× 1.6k 1.3× 691 1.0× 366 0.8× 946 2.8× 41 3.7k
Xiaoyan Wu China 12 2.3k 1.0× 1.4k 1.1× 618 0.9× 449 1.0× 776 2.3× 31 3.3k
Raymond Pranata Indonesia 35 2.8k 1.3× 1.6k 1.3× 1.0k 1.4× 634 1.4× 708 2.1× 160 4.9k
LeRoy E. Rabbani United States 11 2.0k 0.9× 1.3k 1.1× 656 0.9× 326 0.7× 558 1.6× 12 3.3k
Matthew R. Baldwin United States 24 2.1k 1.0× 1.2k 1.0× 521 0.7× 556 1.3× 218 0.6× 50 4.0k
Yiyuan Cao China 11 3.2k 1.5× 1.6k 1.3× 761 1.1× 455 1.0× 102 0.3× 22 4.3k
Xiang Dong China 12 3.4k 1.5× 1.7k 1.4× 797 1.1× 490 1.1× 102 0.3× 29 4.6k
Christopher M. Petrilli United States 16 1.7k 0.8× 820 0.7× 711 1.0× 353 0.8× 197 0.6× 35 3.0k
David Berlin United States 22 1.9k 0.9× 929 0.8× 630 0.9× 544 1.2× 298 0.9× 54 4.0k

Countries citing papers authored by Ian Huang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Lukito, Antonia Anna, et al.. (2024). Association between triglyceride-glucose index and hypertension: A systematic review and meta-analysis. Narra J. 4(2). e951–e951. 3 indexed citations
2.
Huang, Ian, et al.. (2022). LADIS: Language Disentanglement for 3D Shape Editing. 5519–5532. 4 indexed citations
3.
Pranata, Raymond, Michael Anthonius Lim, Emir Yonas, et al.. (2021). Thrombocytopenia as a prognostic marker in COVID-19 patients: diagnostic test accuracy meta-analysis. Epidemiology and Infection. 149. e40–e40. 27 indexed citations
5.
Pranata, Raymond, Michael Anthonius Lim, Ian Huang, et al.. (2021). Visceral adiposity, subcutaneous adiposity, and severe coronavirus disease-2019 (COVID-19): Systematic review and meta-analysis. Clinical Nutrition ESPEN. 43. 163–168. 40 indexed citations
6.
Permana, Hikmat, et al.. (2021). In-hospital use of statins is associated with a reduced risk of mortality in coronavirus-2019 (COVID-19): systematic review and meta-analysis. Pharmacological Reports. 73(3). 769–780. 49 indexed citations
7.
Huang, Ian, et al.. (2020). Lethal Arrhythmia (Torsade de Pointes) in COVID-19: An Event Synergistically Induced by Viral Associated Cardiac Injury, Hyperinflammatory Response, and Treatment Drug?. SHILAP Revista de lepidopterología. 13. 3572602733–3572602733. 5 indexed citations
8.
Lim, Michael Anthonius, Raymond Pranata, Ian Huang, et al.. (2020). Multiorgan Failure With Emphasis on Acute Kidney Injury and Severity of COVID-19: Systematic Review and Meta-Analysis. Canadian Journal of Kidney Health and Disease. 7. 2248817741–2248817741. 101 indexed citations
9.
Lim, Michael Anthonius, Ian Huang, Emir Yonas, Rachel Vania, & Raymond Pranata. (2020). A wave of non-communicable diseases following the COVID-19 pandemic. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 14(5). 979–980. 49 indexed citations
10.
Yonas, Emir, Idrus Alwi, Raymond Pranata, et al.. (2020). Effect of heart failure on the outcome of COVID-19 — A meta analysis and systematic review. The American Journal of Emergency Medicine. 46. 204–211. 84 indexed citations
11.
Yonas, Emir, Idrus Alwi, Raymond Pranata, et al.. (2020). Elevated interleukin levels are associated with higher severity and mortality in COVID 19 – A systematic review, meta-analysis, and meta-regression. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 14(6). 2219–2230. 35 indexed citations
12.
Huang, Ian & Raymond Pranata. (2020). Lymphopenia in severe coronavirus disease-2019 (COVID-19): systematic review and meta-analysis. Journal of Intensive Care. 8(1). 36–36. 431 indexed citations breakdown →
13.
Alisjahbana, Bachti, Ian Huang, & Amaylia Oehadian. (2020). The detection of Howell-Jolly body-like inclusions in a case of coronavirus disease-2019 (COVID-19). Blood Research. 55(4). 191–191.
14.
Pranata, Raymond, Ian Huang, & Sunu Budhi Raharjo. (2020). Incidence and impact of cardiac arrhythmias in coronavirus disease 2019 (COVID-19): A systematic review and meta-analysis. Indian Pacing and Electrophysiology Journal. 20(5). 193–198. 35 indexed citations
15.
Santoso, Anwar, et al.. (2020). Cardiac injury is associated with mortality and critically ill pneumonia in COVID-19: A meta-analysis. The American Journal of Emergency Medicine. 44. 352–357. 147 indexed citations
16.
Huang, Ian, Michael Anthonius Lim, & Raymond Pranata. (2020). Diabetes mellitus is associated with increased mortality and severity of disease in COVID-19 pneumonia – A systematic review, meta-analysis, and meta-regression. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 14(4). 395–403. 654 indexed citations breakdown →
17.
Pranata, Raymond, Rachel Vania, & Ian Huang. (2019). Ablation-index guided versus conventional contact-force guided ablation in pulmonary vein isolation – Systematic review and meta-analysis. Indian Pacing and Electrophysiology Journal. 19(4). 155–160. 37 indexed citations
18.
20.
Ou, Chau-Su, Ian Huang, & Ron Rowbotham. (2004). Laparoscopic ureteroureteral anastomosis for repair of ureteral injury involving stricture. International Urogynecology Journal. 16(2). 155–157. 13 indexed citations

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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