Ong C

3.5k citations
56 papers · 1.2k · 1 hit paper · h-index 17

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 22
    • SARS-CoV-2 detection and testing 4
    • COVID-19 Clinical Research Studies 4
    • Infectious Diseases and Tuberculosis 13
    • Diagnosis and treatment of tuberculosis 5

Ong C

50 papers receiving 1.2k citations

Ong C's Hit Papers

Tuberculosis and COVID-19 interaction: A review of biological, clinical and public health effects 2021 · 194 citations
1940+1+3Years since publication50100150

Peers

Ong C
Comparison fields: 5 of 121
  • Infectious Diseases 641
  • Molecular Medicine 70
  • Epidemiology 390
  • Immunology 186
  • Endocrinology 42
Replace Sudhir Penugonda with:
Sudhir Penugonda United States
Adam M. Spivak United States
Martina Prelog Austria
Barbara A. Sampson United States
Patrick Lacor Belgium
Kellen C. Faé Brazil
Kian Sing Chan Singapore
Lorella Melillo Italy
Parizad Torabi‐Parizi United States
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Ong C relative to Sudhir Penugonda United States Sudhir Penugonda's profile →
Citations per field
00.5×2.7×
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 56 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 →
2021194
2 2015168
3 2014155
4 202188
5 200970
6 202257
7 201753
8 201846
9 201735
10 200931
11 201129
12 202227
13 202124
14 202221
15 202320
16 202320
17 202118
18 201314
19 201814
20 202212

About Ong C

Ong C is a scholar working on Infectious Diseases, Surgery, Epidemiology, Molecular Biology and Biomedical Engineering, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (22 papers), Infectious Diseases and Tuberculosis (13 papers), Biosensors and Analytical Detection (6 papers), Pneumocystis jirovecii pneumonia detection and treatment (5 papers), Diagnosis and treatment of tuberculosis (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), SARS-CoV-2 detection and testing (4 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Infectious Diseases (641 citations), Molecular Medicine (70 citations), Epidemiology (390 citations), Immunology (186 citations) and Endocrinology (42 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, Giovanni Battista Migliori, Rosella Centis, Delia Goletti, Sara Brilha, Paul Anantharajah Tambyah, Giovanni Sotgiu and Raquel Duarte. Their work appears in journals such as International Journal of Infectious Diseases, Journal of Neuroinflammation, Scientific Reports, Frontiers in Immunology and Advanced Science.

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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