John T. Lis
- Aging top 0.1%
- Genetics, Aging, and Longevity in Model Organisms 16
- Molecular Biology top 0.05%
- RNA Research and Splicing 101
- Genomics and Chromatin Dynamics 88
- Heat shock proteins research 76
- RNA and protein synthesis mechanisms 69
- Advanced biosensing and bioanalysis techniques 18
- RNA modifications and cancer 18
- Cancer Research top 0.5%
- Physical and Theoretical Chemistry top 0.5%
- Genetics top 0.5%
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- Physiological and biochemical adaptations 18
John T. Lis
217 papers receiving 26.2k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Aging 1.0k
- Molecular Biology 24.2k
- Cancer Research 1.7k
- Physical and Theoretical Chemistry 912
- Genetics 2.5k
Countries citing papers authored by John T. Lis
This map shows the geographic impact of John T. Lis'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 John T. Lis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John T. Lis more than expected).
Fields of papers citing papers by John T. Lis
This network shows the impact of papers produced by John T. Lis. 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 John T. Lis. The network helps show where John T. Lis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John T. Lis, 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 | 2021 | 10 | |
| 2 | Precise Maps of RNA Polymerase Reveal How Promoters Direct Initiation and Pausingbreakdown → | 2013 | 554 |
| 3 | 2012 | 26 | |
| 4 | 2011 | 65 | |
| 5 | 2009 | 37 | |
| 6 | Nascent RNA Sequencing Reveals Widespread Pausing and Divergent Initiation at Human Promotersbreakdown → | 2008 | 1504 |
| 7 | 2004 | 34 | |
| 8 | 2003 | 189 | |
| 9 | 2003 | 53 | |
| 10 | 2002 | 154 | |
| 11 | 1999 | 21 | |
| 12 | 1995 | 102 | |
| 13 | 1995 | 95 | |
| 14 | 1994 | 11 | |
| 15 | 1991 | 27 | |
| 16 | 1990 | 6 | |
| 17 | 1986 | 101 | |
| 18 | 1985 | 67 | |
| 19 | 1980 | 224 | |
| 20 | 1979 | 258 |
About John T. Lis
John T. Lis is a scholar working on Aging, Molecular Biology, Physical and Theoretical Chemistry, Ecology and Biophysics, having authored 218 papers that have together received 26.7k indexed citations. Recurring topics across this work include RNA Research and Splicing (101 papers), Genomics and Chromatin Dynamics (88 papers), Heat shock proteins research (76 papers), RNA and protein synthesis mechanisms (69 papers), Physiological and biochemical adaptations (18 papers), Advanced biosensing and bioanalysis techniques (18 papers), RNA modifications and cancer (18 papers) and Genetics, Aging, and Longevity in Model Organisms (16 papers). The work is most often cited by research in Aging (1.0k citations), Molecular Biology (24.2k citations), Cancer Research (1.7k citations), Physical and Theoretical Chemistry (912 citations) and Genetics (2.5k citations). John T. Lis has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include Leighton J. Core, Joshua J. Waterfall, Hua Xiao, Karen Adelman, Hojoong Kwak, Iris H. Jonkers, David S. Gilmour, W. Lee Kraus, Nicholas J. Fuda and Janis Werner. Their work appears in journals such as Molecular and Cellular Biology, Nucleic Acids Research, Cell, Genes & Development and Proceedings of the National Academy of Sciences.
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.