C.B. Tan

490 citations
16 papers · 380 indexed · h-index 11

Impact in

Papers in

C.B. Tan

16 papers receiving 371 citations

Peers

C.B. Tan
Comparison fields: 5 of 96
  • Molecular Medicine 96
  • Organic Chemistry 146
  • Physical and Theoretical Chemistry 42
  • Surfaces, Coatings and Films 31
  • Filtration and Separation 8
Replace John S. Hyatt with:
John S. Hyatt United States
Beverley R. Twaites United Kingdom
Tarsem Sahota United Kingdom
Bivash Dasgupta United States
Maxime J. Bergman Sweden
Nobuo Monji United States
Charles P. Lusignan United States
H. Takeshita Japan
Fabrizio Camerin Italy
C.B. Tan relative to John S. Hyatt United States John S. Hyatt's profile →
Citations per field
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John S. Hyatt · 1×
Citations per year

Countries citing papers authored by C.B. Tan

Since Specialization
Citations

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

Fields of papers citing papers by C.B. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside C.B. Tan, 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 C.B. Tan Line = papers co-authored together C.B. Tan links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 200364
2 199451
3 200045
4 200534
5 200429
6 200426
7 200425
8 200522
9 200521
10 199313
11 200413
12 200510
13 200810
14
Detection of Mycobacterium tuberculosis in sputum, pleural and bronchoalveolar lavage fluid using DNA amplification of the MPB 64 protein coding gene and IS6110 insertion element.
19958
15
The diagnosis of tuberculous meningitis using the polymerase chain reaction.
19946
16
Palatal myoclonus--a case report.
19993

About C.B. Tan

C.B. Tan is a scholar working on Organic Chemistry, Molecular Medicine, Fluid Flow and Transfer Processes, Physical and Theoretical Chemistry and Infectious Diseases, having authored 16 papers that have together received 380 indexed citations. Recurring topics across this work include Surfactants and Colloidal Systems (7 papers), Hydrogels: synthesis, properties, applications (5 papers), Rheology and Fluid Dynamics Studies (4 papers), Material Dynamics and Properties (2 papers), Tuberculosis Research and Epidemiology (2 papers), Infectious Diseases and Tuberculosis (2 papers), Mycobacterium research and diagnosis (2 papers) and thermodynamics and calorimetric analyses (2 papers). The work is most often cited by research in Molecular Medicine (96 citations), Organic Chemistry (146 citations), Physical and Theoretical Chemistry (42 citations), Surfaces, Coatings and Films (31 citations) and Filtration and Separation (8 citations). C.B. Tan has collaborated with scholars based in Singapore and Australia. Frequent co-authors include Kam Chiu Tam, Beng Hoon Tan, Yee Cheong Lam, D. Jenkins, Chung Hung J. Wang, Narayanaswamy Venketasubramanian, Hui‐Kim Yap, Thirugnanam Umapathi, H. Tjia and Jer-Ming Chia. Their work appears in journals such as Langmuir, Polymer, Journal of Rheology, International Archives of Allergy and Immunology and Advances in Colloid and Interface 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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