Su Aung

1.1k citations
18 papers · 704 indexed · 1 hit paper · h-index 8
Topics
HIV/AIDS Research and Interventions (6 papers)COVID-19 Clinical Research Studies (5 papers)HIV Research and Treatment (4 papers)
Journals
SHILAP Revista de lepidopterologíaThe Journal of Infectious DiseasesEmerging infectious diseases

In The Last Decade

Su Aung

15 papers receiving 696 citations

Hit Papers

Predictors of COVID‐19 severity: A literature review20202026202220242020100200300400500

Peers

Su Aung
Comparison fields: 5 of 106
  • Infectious Diseases 469
  • Neurology 205
  • Oncology 128
  • Epidemiology 124
  • Radiology, Nuclear Medicine and Imaging 79
Replace McKenna C. Eastment with:
McKenna C. Eastment United States
Summer Chavez United States
Zelalem G. Dessie South Africa
Marianna Traugott Austria
Mehrzad MohsseniPour Iran
Lianfeng Lu China
Shuibao Xu China
Zahra Ismail Canada
Seyed Ahmad Seyed Alinaghi Iran
Romil Singh United States
Su Aung relative to McKenna C. Eastment United States McKenna C. Eastment's profile →
Citations per field
00.5×4.6×
McKenna C. Eastment · 1×
Citations per year

Countries citing papers authored by Su Aung

Since Specialization
Citations

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

Fields of papers citing papers by Su Aung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su Aung. 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 Su Aung. The network helps show where Su Aung may publish in the future.

Co-authorship network of co-authors of Su Aung

This figure shows the co-authorship network connecting the top 25 collaborators of Su Aung. A scholar is included among the top collaborators of Su Aung 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 Su Aung. Su Aung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 3
5 12
6 1
7 6
8 11
9 48
10
Predictors of COVID‐19 severity: A literature reviewbreakdown →
542
11 10
12 11
13
COVID-19 in a Patient Presenting with Syncope and a Normal Chest X-ray.
28
14 15
15 6
16 3
17 1
18
The Refugee Community Health Worker Initiative (RCHWI) in Rhode Island: A Pilot Program.
7

About Su Aung

Su Aung is a scholar working on Virology, Health Informatics and Infectious Diseases, having authored 18 papers that have together received 704 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (6 papers), COVID-19 Clinical Research Studies (5 papers) and HIV Research and Treatment (4 papers). The work is most often cited by research in Infectious Diseases (469 citations), Neurology (205 citations) and Modeling and Simulation (39 citations). Su Aung has collaborated with scholars based in United States, United Kingdom and Greece. Frequent co-authors include Timothy Flanigan, Lanbo Yang, Luba Dumenco, Benjamin Gallo Marin, Thais P. Salazar‐Mather, Silvia S. Chiang, Ian C. Michelow, Ghazal Aghagoli, Natasha Rybak and Curt G. Beckwith. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Infectious Diseases and Emerging infectious diseases.

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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