David Michael Shechner
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
-
- RNA and protein synthesis mechanisms 8
- RNA modifications and cancer 4
- RNA Research and Splicing 4
- CRISPR and Genetic Engineering 3
-
- Biotin and Related Studies 3
- Co-authors
- John L. Rinn (4 shared papers)Ezgi Hacisuleyman (1 shared paper)Scott T. Younger (1 shared paper)Alice Y. Ting (2 shared papers)Pornchai Kaewsapsak (1 shared paper)William Mallard (1 shared paper)Philipp G. Maass (2 shared papers)David P. Bartel (3 shared papers)
- Journals
- Nature Methods (3 papers)Cell Reports (2 papers)Nature Structural & Molecular Biology (2 papers)ACS Chemical Biology (1 paper)Trends in Genetics (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
David Michael Shechner
15 papers receiving 846 citations
Peers
Comparison fields: 5 of 58
- Cancer Research 166
- Aging 21
- Molecular Biology 750
- Cell Biology 142
- Business and International Management 12
Countries citing papers authored by David Michael Shechner
This map shows the geographic impact of David Michael Shechner'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 Michael Shechner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Michael Shechner more than expected).
Fields of papers citing papers by David Michael Shechner
This network shows the impact of papers produced by David Michael Shechner. 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 Michael Shechner. The network helps show where David Michael Shechner may publish in the future.
Co-authors
The 25 scholars most cited alongside David Michael Shechner, 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 | 2015 | 257 | |
| 2 | 2017 | 156 | |
| 3 | 2019 | 129 | |
| 4 | 2009 | 100 | |
| 5 | 2018 | 97 | |
| 6 | 2017 | 67 | |
| 7 | 2024 | 23 | |
| 8 | 2009 | 14 | |
| 9 | 2001 | 5 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 4 | |
| 12 | 2010 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2020 | 1 | |
| 15 | 2024 | 1 |
About David Michael Shechner
David Michael Shechner is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Astronomy and Astrophysics and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 860 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (8 papers), RNA modifications and cancer (4 papers), RNA Research and Splicing (4 papers), CRISPR and Genetic Engineering (3 papers), Biotin and Related Studies (3 papers), Bacterial Genetics and Biotechnology (2 papers), Origins and Evolution of Life (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Cancer Research (166 citations), Aging (21 citations), Molecular Biology (750 citations), Cell Biology (142 citations) and Business and International Management (12 citations). David Michael Shechner has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include John L. Rinn, Ezgi Hacisuleyman, Scott T. Younger, Alice Y. Ting, Pornchai Kaewsapsak, William Mallard, Philipp G. Maass, David P. Bartel, Sarah C. Bagby and Jeffrey D. Martell. Their work appears in journals such as Nature Methods, Cell Reports, Nature Structural & Molecular Biology, ACS Chemical Biology and Trends in Genetics.
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.