Ong C

3.6k citations
59 papers · 1.3k · 1 hit paper · h-index 17

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 21
    • SARS-CoV-2 detection and testing 4
    • COVID-19 Clinical Research Studies 3
    • Infectious Diseases and Tuberculosis 10
    • Diagnosis and treatment of tuberculosis 6

Ong C

53 papers receiving 1.3k citations

Ong C's Hit Papers

Tuberculosis and COVID-19 interaction: A review of biological, clinical and public health effects 2021 · 201 citations
2010+1+3Years since publication50100150200

Peers

Ong C
Comparison fields: 5 of 119
  • Infectious Diseases 599
  • Molecular Medicine 69
  • Epidemiology 310
  • Immunology 171
  • Endocrinology 39
Replace Sudhir Penugonda with:
Sudhir Penugonda United States
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Lorella Melillo Italy
Patrick Lacor Belgium
Anthony G. Tsolaki United Kingdom
Anurag Sharma United States
Kian Sing Chan Singapore
Guido Scalia Italy
Michiel van der Flier Netherlands
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Ong C relative to Sudhir Penugonda United States Sudhir Penugonda's profile →
Citations per field
00.5×3.3×
Sudhir Penugonda · 1×
Citations per year

Countries citing papers authored by Ong C

Since Specialization
Citations

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

Fields of papers citing papers by Ong C

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ong C, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ong C Line = papers co-authored together Ong C links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Tuberculosis and COVID-19 interaction: A review of biological, clinical and public health effects
Hit paper breakdown →
2021201
2 2015176
3 2014162
4 202199
5 200975
6 201761
7 202260
8 201853
9 201739
10 200933
11 201131
12 202230
13 202126
14 202324
15 202323
16 202223
17 202121
18 202214
19 201314
20 201814

About Ong C

Ong C is a scholar working on Infectious Diseases, Surgery, Epidemiology, Molecular Biology and Biomedical Engineering, having authored 59 papers that have together received 1.3k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (21 papers), Infectious Diseases and Tuberculosis (10 papers), Biosensors and Analytical Detection (6 papers), Diagnosis and treatment of tuberculosis (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), SARS-CoV-2 detection and testing (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Infectious Diseases (599 citations), Molecular Medicine (69 citations), Epidemiology (310 citations), Immunology (171 citations) and Endocrinology (39 citations). Ong C has collaborated with scholars based in Singapore, United Kingdom and United States. Frequent co-authors include Jon S. Friedland, Paul Elkington, Lia D’Ambrosio, Rosella Centis, Giovanni Battista Migliori, Delia Goletti, Sara Brilha, Paul Anantharajah Tambyah, Giovanni Sotgiu and Linda Petrone. Their work appears in journals such as International Journal of Infectious Diseases, Journal of Neuroinflammation, Advanced Science, Scientific Reports and Frontiers in Immunology.

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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