Charles E. Lawrence
Impact in
- Molecular Biology top 1%
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- Gene expression and cancer classification
- RNA modifications and cancer
- Aging top 5%
Papers in
-
- RNA and protein synthesis mechanisms 35
- Genomics and Phylogenetic Studies 23
- Protein Structure and Dynamics 14
- Machine Learning in Bioinformatics 12
- RNA Research and Splicing 11
- Genomics and Chromatin Dynamics 9
- Genetics 13
- Bacterial Genetics and Biotechnology 8
- Co-authors
- Jun S. Liu (12 shared papers)Andrew F. Neuwald (8 shared papers)John C. Wootton (1 shared paper)Stephen F. Altschul (1 shared paper)Mark S. Boguski (1 shared paper)Stephen H. Bryant (4 shared papers)Andrew Reilly (5 shared papers)William A. Thompson (11 shared papers)
- Journals
- Proteins Structure Function and Bioinformatics (6 papers)Bioinformatics (6 papers)Nucleic Acids Research (5 papers)Journal of the American Statistical Association (5 papers)Computer applications in the biosciences (3 papers)
- Partner nations
- United StatesRussiaCanada
In The Last Decade
Charles E. Lawrence
84 papers receiving 6.4k citations
Charles E. Lawrence's Hit Papers
Peers
Comparison fields: 5 of 176
- Molecular Biology 5.3k
- Aging 79
- Genetics 993
- Artificial Intelligence 594
- Cancer Research 254
Countries citing papers authored by Charles E. Lawrence
This map shows the geographic impact of Charles E. Lawrence'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 Charles E. Lawrence with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles E. Lawrence more than expected).
Fields of papers citing papers by Charles E. Lawrence
This network shows the impact of papers produced by Charles E. Lawrence. 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 Charles E. Lawrence. The network helps show where Charles E. Lawrence may publish in the future.
Co-authors
The 25 scholars most cited alongside Charles E. Lawrence, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Detecting Subtle Sequence Signals: a Gibbs Sampling Strategy for Multiple Alignment Hit paper breakdown → | 1993 | 1311 |
| 2 | 2004 | 403 | |
| 3 | 2000 | 373 | |
| 4 | 1990 | 348 | |
| 5 | 1993 | 322 | |
| 6 | 1995 | 292 | |
| 7 | 2005 | 246 | |
| 8 | 1995 | 215 | |
| 9 | 1974 | 195 | |
| 10 | 1997 | 194 | |
| 11 | 1989 | 156 | |
| 12 | 1997 | 142 | |
| 13 | 2010 | 139 | |
| 14 | 2007 | 132 | |
| 15 | 1994 | 128 | |
| 16 | 2000 | 117 | |
| 17 | 2013 | 115 | |
| 18 | 1999 | 100 | |
| 19 | 1972 | 99 | |
| 20 | 1998 | 83 |
About Charles E. Lawrence
Charles E. Lawrence is a scholar working on Molecular Biology, Genetics, Ecology, Atmospheric Science and Artificial Intelligence, having authored 89 papers that have together received 6.6k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (35 papers), Genomics and Phylogenetic Studies (23 papers), Protein Structure and Dynamics (14 papers), Machine Learning in Bioinformatics (12 papers), RNA Research and Splicing (11 papers), Geology and Paleoclimatology Research (9 papers), Genomics and Chromatin Dynamics (9 papers) and Bacterial Genetics and Biotechnology (8 papers). The work is most often cited by research in Molecular Biology (5.3k citations), Aging (79 citations), Genetics (993 citations), Artificial Intelligence (594 citations) and Cancer Research (254 citations). Charles E. Lawrence has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include Jun S. Liu, Andrew F. Neuwald, John C. Wootton, Stephen F. Altschul, Mark S. Boguski, Stephen H. Bryant, Andrew Reilly, William A. Thompson, Y. Ding and C. Y. Chan. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Bioinformatics, Nucleic Acids Research, Journal of the American Statistical Association and Computer applications in the biosciences.
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.