Silvia S. Chiang

2.7k citations
46 papers · 1.6k indexed · 1 hit paper · h-index 17
Topics
Tuberculosis Research and Epidemiology (37 papers)Pneumocystis jirovecii pneumonia detection and treatment (17 papers)Infectious Diseases and Tuberculosis (13 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Silvia S. Chiang

43 papers receiving 1.5k citations

Hit Papers

Predictors of COVID‐19 severity: A literature review20202026202220242020100200300400500

Peers

Silvia S. Chiang
Comparison fields: 5 of 125
  • Infectious Diseases 926
  • Surgery 498
  • Epidemiology 424
  • Pulmonary and Respiratory Medicine 234
  • Oncology 207
Replace Jiaofeng Huang with:
Jiaofeng Huang China
Enmei Liu China
Kamal Kant Sahu United States
Susanna Felsenstein United States
Joshua T.B. Williams United States
Yinlian Wu China
Alison Muse United States
Zhengxiu Luo China
Randeep Guleria India
Paolo Sacchi Italy
Silvia S. Chiang relative to Jiaofeng Huang China Jiaofeng Huang's profile →
Citations per field
00.5×7.2×
Jiaofeng Huang · 1×
Citations per year

Countries citing papers authored by Silvia S. Chiang

Since Specialization
Citations

This map shows the geographic impact of Silvia S. Chiang'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 Silvia S. Chiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia S. Chiang more than expected).

Fields of papers citing papers by Silvia S. Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia S. Chiang

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia S. Chiang. A scholar is included among the top collaborators of Silvia S. Chiang 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 Silvia S. Chiang. Silvia S. Chiang 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
#WorkIndexed citations
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11 21
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Predictors of COVID‐19 severity: A literature reviewbreakdown →
542
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16 18
17 20
18 45
19 33
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About Silvia S. Chiang

Silvia S. Chiang is a scholar working on Infectious Diseases, Epidemiology and Speech and Hearing, having authored 46 papers that have together received 1.6k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (37 papers), Pneumocystis jirovecii pneumonia detection and treatment (17 papers) and Infectious Diseases and Tuberculosis (13 papers). The work is most often cited by research in Infectious Diseases (926 citations), Microbiology (85 citations) and Neurology (187 citations). Silvia S. Chiang has collaborated with scholars based in United States, Peru and United Kingdom. Frequent co-authors include Timothy Flanigan, Luba Dumenco, Thais P. Salazar‐Mather, Ghazal Aghagoli, Lanbo Yang, Benjamin Gallo Marin, Su Aung, Ian C. Michelow, Jeffrey R. Starke and Mercedes C. Becerra. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

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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