S. Kamatchiammal

695 total citations
22 papers, 535 citations indexed

About

S. Kamatchiammal is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, S. Kamatchiammal has authored 22 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 8 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in S. Kamatchiammal's work include Viral gastroenteritis research and epidemiology (7 papers), Oral and gingival health research (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). S. Kamatchiammal is often cited by papers focused on Viral gastroenteritis research and epidemiology (7 papers), Oral and gingival health research (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). S. Kamatchiammal collaborates with scholars based in India, United States and Malaysia. S. Kamatchiammal's co-authors include Thiruppathiraja Chinnasamy, M. Alagar, Adaikkappan Periyakaruppan, N. Jothikumar, Shinsuke Tanabe, Shin Takahashi, Bommanna G. Loganathan, P. Khanna, Ramasamy Paulmurugan and Kurunthachalam Kannan and has published in prestigious journals such as Environmental Science & Technology, Applied and Environmental Microbiology and Analytical Biochemistry.

In The Last Decade

S. Kamatchiammal

22 papers receiving 505 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S. Kamatchiammal India 11 162 131 129 103 96 22 535
Vanessa Moresco Brazil 16 407 2.5× 54 0.4× 30 0.2× 16 0.2× 42 0.4× 23 777
Yao Lin China 15 286 1.8× 60 0.5× 110 0.9× 8 0.1× 32 0.3× 43 563
Mian Adnan Kakakhel China 14 64 0.4× 54 0.4× 70 0.5× 8 0.1× 59 0.6× 37 617
Dóris Sobral Marques Souza Brazil 12 352 2.2× 44 0.3× 40 0.3× 6 0.1× 46 0.5× 25 569
James E. Amburgey United States 14 193 1.2× 151 1.2× 77 0.6× 6 0.1× 87 0.9× 28 725
Shih L. Chang United States 21 290 1.8× 196 1.5× 198 1.5× 10 0.1× 39 0.4× 47 1.1k
Xinyi Zhou China 12 47 0.3× 100 0.8× 76 0.6× 13 0.1× 26 0.3× 23 528
Stephen A. Craik Canada 14 263 1.6× 200 1.5× 52 0.4× 11 0.1× 94 1.0× 30 864
Mark Angles Australia 10 87 0.5× 153 1.2× 160 1.2× 26 0.3× 35 0.4× 13 557
Kelley Riley United States 9 290 1.8× 68 0.5× 37 0.3× 4 0.0× 41 0.4× 13 606

Countries citing papers authored by S. Kamatchiammal

Since Specialization
Citations

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

Fields of papers citing papers by S. Kamatchiammal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Kamatchiammal

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

All Works

20 of 20 papers shown
1.
Kamatchiammal, S., et al.. (2020). Norovirus based viral gastroenteritis in Chennai city of southern India - An epidemiological study. HAL (Le Centre pour la Communication Scientifique Directe). 3 indexed citations
2.
Krishnan, Srinivasan, et al.. (2014). Dual labeled Ag@SiO2 core–shell nanoparticle based optical immunosensor for sensitive detection of E. coli. Materials Science and Engineering C. 45. 337–342. 23 indexed citations
3.
Subramani, Tamilselvan, et al.. (2013). Angiotensin II stimulates expression of transcription factors c-Jun and c-Fos in cyclosporine induced human gingival fibroblasts. Biocell. 37(3). 71–76. 1 indexed citations
4.
5.
Kamatchiammal, S., et al.. (2011). Status of groundwater at Chennai city, India. Indian Journal of Science and Technology. 4(5). 566–572. 8 indexed citations
6.
Chinnasamy, Thiruppathiraja, S. Kamatchiammal, Adaikkappan Periyakaruppan, & M. Alagar. (2011). An advanced dual labeled gold nanoparticles probe to detect Cryptosporidium parvum using rapid immuno-dot blot assay. Biosensors and Bioelectronics. 26(11). 4624–4627. 33 indexed citations
7.
Chinnasamy, Thiruppathiraja, et al.. (2011). Development of electrochemical based sandwich enzyme linked immunosensor for Cryptosporidium parvum detection in drinking water. Journal of Environmental Monitoring. 13(10). 2782–2782. 29 indexed citations
8.
Taju, G., S. Abdul Majeed, K.S.N. Nambi, et al.. (2011). Comparison of in vitro and in vivo acute toxicity assays in Etroplus suratensis (Bloch, 1790) and its three cell lines in relation to tannery effluent. Chemosphere. 87(1). 55–61. 39 indexed citations
9.
Chinnasamy, Thiruppathiraja, et al.. (2011). Specific detection of Mycobacterium sp. genomic DNA using dual labeled gold nanoparticle based electrochemical biosensor. Analytical Biochemistry. 417(1). 73–79. 77 indexed citations
10.
Kamatchiammal, S., et al.. (2010). A Comparative Study for the Efficient Detection of Norovirus from Drinking Water by RT-PCR and Real-Time PCR. Water Air & Soil Pollution. 213(1-4). 71–84. 4 indexed citations
11.
Rao, Suresh Ranga, et al.. (2010). Expression of TNF-α and RANTES in drug-induced human gingival overgrowth. Indian Journal of Pharmacology. 42(3). 174–174. 6 indexed citations
12.
Kamatchiammal, S., et al.. (2007). Cryptosporidium Oocysts in Drinking Water Supply of Chennai City, Southern India. CLEAN - Soil Air Water. 35(2). 167–171. 7 indexed citations
13.
Subramani, Tamilselvan, et al.. (2007). Expression of insulin like growth factor binding protein-5 in drug induced human gingival overgrowth.. PubMed. 125(1). 43–8. 7 indexed citations
14.
Subramani, Tamilselvan, et al.. (2006). Expression of Toll-like receptors 2 and 4 in gingivitis and chronic periodontitis.. Indian Journal of Dental Research. 17(3). 114–114. 36 indexed citations
15.
Kamatchiammal, S., et al.. (2000). Direct diagnosis ofMycobacterium tuberculosis in blood samples of HIV infected patients by polymerase chain reaction. Indian Journal of Clinical Biochemistry. 15(2). 76–82. 1 indexed citations
16.
Jothikumar, N., et al.. (2000). Duplex RT-PCR for simultaneous detection of hepatitis A and hepatitis E virus isolated from drinking water samples. Journal of Environmental Monitoring. 2(6). 587–590. 16 indexed citations
17.
Kamatchiammal, S., et al.. (1997). A simple method for inhibition free PCR amplification of target DNA directly from clinical specimens. Indian Journal of Clinical Biochemistry. 12(1). 78–80. 2 indexed citations
18.
19.
Jothikumar, N., P. Khanna, S. Kamatchiammal, et al.. (1994). Concentration and detection of rotavirus in water samples using polymerase chain reaction during a gastroenteritis epidemic outbreak in Madras city. International Journal of Environmental Studies. 46(4). 323–327. 8 indexed citations
20.
Jothikumar, N., et al.. (1992). Rapid Detection of Waterborne Viruses Using the Polymerase Chain Reaction and a Gene Probe. Intervirology. 34(4). 184–191. 10 indexed citations

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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