Paul Tchen
Impact in
- Endocrinology top 10%
-
- Advanced biosensing and bioanalysis techniques
- DNA and Nucleic Acid Chemistry
- RNA and protein synthesis mechanisms
Papers in
-
- Advanced biosensing and bioanalysis techniques 3
- DNA and Nucleic Acid Chemistry 3
- RNA Interference and Gene Delivery 2
- Genetics 6
- Forensic and Genetic Research 2
- Virus-based gene therapy research 2
- Co-authors
- M. Leng (2 shared papers)Évelyne Sage (1 shared paper)Robert P. Fuchs (1 shared paper)Danielle Nouaud (2 shared papers)Georges Périquet (2 shared papers)Dominique Anxolabéhère (2 shared papers)Abhay Kumar (2 shared papers)E Bois (7 shared papers)
- Journals
- Human Genetics (6 papers)Proceedings of the National Academy of Sciences (3 papers)Nucleic Acids Research (2 papers)Analytical Biochemistry (2 papers)Annals of Human Biology (1 paper)
- Partner nations
- FranceFrench GuianaFinland
In The Last Decade
Paul Tchen
20 papers receiving 489 citations
Peers
Comparison fields: 5 of 81
- Endocrinology 33
- Molecular Biology 319
- Genetics 124
- Cell Biology 67
- Plant Science 97
Countries citing papers authored by Paul Tchen
This map shows the geographic impact of Paul Tchen'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 Paul Tchen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Tchen more than expected).
Fields of papers citing papers by Paul Tchen
This network shows the impact of papers produced by Paul Tchen. 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 Paul Tchen. The network helps show where Paul Tchen may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Tchen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1984 | 153 | |
| 2 | 1985 | 73 | |
| 3 | 1988 | 55 | |
| 4 | 1986 | 50 | |
| 5 | 1985 | 39 | |
| 6 | 1982 | 33 | |
| 7 | 1978 | 27 | |
| 8 | 1985 | 23 | |
| 9 | 1978 | 22 | |
| 10 | 1981 | 15 | |
| 11 | 1977 | 13 | |
| 12 | 1978 | 12 | |
| 13 | 1974 | 5 | |
| 14 | 1979 | 5 | |
| 15 | 1986 | 4 | |
| 16 | 1978 | 4 | |
| 17 | 1988 | 3 | |
| 18 | 1972 | 3 | |
| 19 | [Presence of RNase H activity not associated with reverse transcriptase activity in Moloney murine sarcoma virions]. | 1974 | 2 |
| 20 | 1980 | 1 |
About Paul Tchen
Paul Tchen is a scholar working on Molecular Biology, Genetics, Organic Chemistry, Ecology and Cell Biology, having authored 20 papers that have together received 542 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (3 papers), Click Chemistry and Applications (3 papers), DNA and Nucleic Acid Chemistry (3 papers), Forensic and Genetic Research (2 papers), Bacteriophages and microbial interactions (2 papers), Virus-based gene therapy research (2 papers), Biotin and Related Studies (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Endocrinology (33 citations), Molecular Biology (319 citations), Genetics (124 citations), Cell Biology (67 citations) and Plant Science (97 citations). Paul Tchen has collaborated with scholars based in France, French Guiana and Finland. Frequent co-authors include M. Leng, Évelyne Sage, Robert P. Fuchs, Danielle Nouaud, Georges Périquet, Dominique Anxolabéhère, Abhay Kumar, E Bois, Ann-Christine Syvänen and N Feingold. Their work appears in journals such as Human Genetics, Proceedings of the National Academy of Sciences, Nucleic Acids Research, Analytical Biochemistry and Annals of Human Biology.
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.