David E. Symer
Impact in
- Otorhinolaryngology top 2%
- Head and Neck Cancer Studies
- Molecular Biology top 10%
- CRISPR and Genetic Engineering
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
Papers in
-
- CRISPR and Genetic Engineering 6
- RNA modifications and cancer 6
- Genomics and Phylogenetic Studies 3
- Genetics 10
- Co-authors
- Keiko Akagi (19 shared papers)Jingfeng Li (8 shared papers)Maura L. Gillison (9 shared papers)Jef D. Boeke (2 shared papers)Carla J. Connelly (1 shared paper)Gregory J. Cost (1 shared paper)Giovanni Parmigiani (1 shared paper)Suzanne Szak (1 shared paper)
- Journals
- The Journal of Experimental Medicine (4 papers)Genome Research (4 papers)Blood (3 papers)Cancer Discovery (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- United StatesRussiaUnited Arab Emirates
In The Last Decade
David E. Symer
39 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 101
- Otorhinolaryngology 212
- Molecular Biology 1.2k
- Cancer Research 240
- Plant Science 523
- Oncology 341
Countries citing papers authored by David E. Symer
This map shows the geographic impact of David E. Symer'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 David E. Symer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Symer more than expected).
Fields of papers citing papers by David E. Symer
This network shows the impact of papers produced by David E. Symer. 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 David E. Symer. The network helps show where David E. Symer may publish in the future.
Co-authors
The 25 scholars most cited alongside David E. Symer, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 364 | |
| 2 | 2013 | 329 | |
| 3 | 2018 | 155 | |
| 4 | 2017 | 107 | |
| 5 | 2017 | 93 | |
| 6 | 1993 | 87 | |
| 7 | 2015 | 74 | |
| 8 | 2018 | 70 | |
| 9 | 2008 | 69 | |
| 10 | 2008 | 68 | |
| 11 | 2015 | 64 | |
| 12 | 2008 | 57 | |
| 13 | 2013 | 46 | |
| 14 | 1992 | 39 | |
| 15 | 2012 | 38 | |
| 16 | 1984 | 38 | |
| 17 | 2014 | 37 | |
| 18 | 2019 | 35 | |
| 19 | 2023 | 33 | |
| 20 | 1991 | 19 |
About David E. Symer
David E. Symer is a scholar working on Molecular Biology, Genetics, Oncology, Plant Science and Hematology, having authored 41 papers that have together received 2.0k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (7 papers), CRISPR and Genetic Engineering (6 papers), RNA modifications and cancer (6 papers), Multiple Myeloma Research and Treatments (4 papers), Cervical Cancer and HPV Research (4 papers), Genomics and Phylogenetic Studies (3 papers), T-cell and B-cell Immunology (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Otorhinolaryngology (212 citations), Molecular Biology (1.2k citations), Cancer Research (240 citations), Plant Science (523 citations) and Oncology (341 citations). David E. Symer has collaborated with scholars based in United States, Russia and United Arab Emirates. Frequent co-authors include Keiko Akagi, Jingfeng Li, Maura L. Gillison, Jef D. Boeke, Carla J. Connelly, Gregory J. Cost, Giovanni Parmigiani, Suzanne Szak, Weihong Xiao and Bo Jiang. Their work appears in journals such as The Journal of Experimental Medicine, Genome Research, Blood, Cancer Discovery and Nucleic Acids Research.
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.