Kha Tram
Impact in
- Biomedical Engineering top 5%
- Biosensors and Analytical Detection
- Molecular Biology top 10%
- Advanced biosensing and bioanalysis techniques
- DNA and Nucleic Acid Chemistry
- RNA Interference and Gene Delivery
- RNA and protein synthesis mechanisms
Papers in
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- Advanced biosensing and bioanalysis techniques 26
- RNA and protein synthesis mechanisms 11
- DNA and Nucleic Acid Chemistry 9
- RNA Interference and Gene Delivery 3
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- Biosensors and Analytical Detection 13
- Co-authors
- Yingfu Li (23 shared papers)Bruno J. Salena (11 shared papers)Hongbin Yan (9 shared papers)Shuangyan Huan (2 shared papers)Pushpinder Kanda (2 shared papers)Dingran Chang (9 shared papers)Jimmy Gu (5 shared papers)M. Monsur Ali (4 shared papers)
In The Last Decade
Kha Tram
33 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 86
- Biomedical Engineering 616
- Molecular Biology 904
- Infectious Diseases 165
- Endocrinology 28
- Ecology 135
Countries citing papers authored by Kha Tram
This map shows the geographic impact of Kha Tram'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 Kha Tram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kha Tram more than expected).
Fields of papers citing papers by Kha Tram
This network shows the impact of papers produced by Kha Tram. 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 Kha Tram. The network helps show where Kha Tram may publish in the future.
Co-authors
The 25 scholars most cited alongside Kha Tram, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 190 | |
| 2 | 2019 | 142 | |
| 3 | 2009 | 105 | |
| 4 | 2015 | 98 | |
| 5 | 2013 | 60 | |
| 6 | 2014 | 51 | |
| 7 | 2009 | 49 | |
| 8 | 2016 | 45 | |
| 9 | 2016 | 40 | |
| 10 | 2023 | 39 | |
| 11 | 2014 | 37 | |
| 12 | 2019 | 33 | |
| 13 | 2007 | 32 | |
| 14 | 2015 | 28 | |
| 15 | 2015 | 26 | |
| 16 | 2011 | 24 | |
| 17 | 2017 | 21 | |
| 18 | 2012 | 20 | |
| 19 | 2017 | 19 | |
| 20 | 2023 | 18 |
About Kha Tram
Kha Tram is a scholar working on Molecular Biology, Biomedical Engineering, Ecology, Infectious Diseases and Materials Chemistry, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (26 papers), Biosensors and Analytical Detection (13 papers), RNA and protein synthesis mechanisms (11 papers), DNA and Nucleic Acid Chemistry (9 papers), Bacteriophages and microbial interactions (9 papers), SARS-CoV-2 detection and testing (3 papers), Luminescence and Fluorescent Materials (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Biomedical Engineering (616 citations), Molecular Biology (904 citations), Infectious Diseases (165 citations), Endocrinology (28 citations) and Ecology (135 citations). Kha Tram has collaborated with scholars based in Canada and China. Frequent co-authors include Yingfu Li, Bruno J. Salena, Hongbin Yan, Shuangyan Huan, Pushpinder Kanda, Dingran Chang, Jimmy Gu, M. Monsur Ali, Zhifa Shen and Carlos D. M. Filipe. Their work appears in journals such as Angewandte Chemie International Edition, ChemBioChem, Nucleosides Nucleotides & Nucleic Acids, Chemistry - A European Journal and Journal of Visualized Experiments.
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.