C.B. Tan

492 citations
16 papers · 394 · h-index 12

Impact in

Papers in

C.B. Tan

16 papers receiving 384 citations

Peers

C.B. Tan
Comparison fields: 5 of 95
  • Molecular Medicine 98
  • Organic Chemistry 151
  • Physical and Theoretical Chemistry 43
  • Surfaces, Coatings and Films 33
  • Fluid Flow and Transfer Processes 24
Replace Omkar S. Deshmukh with:
Omkar S. Deshmukh India
Tarsem Sahota United Kingdom
John S. Hyatt United States
Charles P. Lusignan United States
Hans-Ulrich Petereit Germany
Nobuo Monji United States
Monica Misici‐Falzi Italy
M. W. Kwok Hong Kong
Run‐Chu Liang Taiwan
Sabine Kempe Germany
C.B. Tan relative to Omkar S. Deshmukh India Omkar S. Deshmukh's profile →
Citations per field
00.5×3.9×
Omkar S. Deshmukh · 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 199454
3 200049
4 200536
5 200429
6 200527
7 200426
8 200426
9 200523
10 200814
11 200413
12 200511
13
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
14
The diagnosis of tuberculous meningitis using the polymerase chain reaction.
19946
15 20095
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 394 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), Tuberculosis Research and Epidemiology (2 papers), Mycobacterium research and diagnosis (2 papers), Infectious Diseases and Tuberculosis (2 papers), thermodynamics and calorimetric analyses (2 papers) and Material Dynamics and Properties (2 papers). The work is most often cited by research in Molecular Medicine (98 citations), Organic Chemistry (151 citations), Physical and Theoretical Chemistry (43 citations), Surfaces, Coatings and Films (33 citations) and Fluid Flow and Transfer Processes (24 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, Chung Hung J. Wang, D. Jenkins, H. Tjia, Narayanaswamy Venketasubramanian, Hui‐Kim Yap, J.S.H. Tay and Jer-Ming Chia. Their work appears in journals such as Langmuir, Polymer, Journal of the Neurological Sciences, International Archives of Allergy and Immunology and Journal of Rheology.

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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