David M Shechner
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
- Advanced biosensing and bioanalysis techniques
Papers in
-
- RNA and protein synthesis mechanisms 8
- RNA modifications and cancer 5
- RNA Research and Splicing 5
- CRISPR and Genetic Engineering 3
- Mitochondrial Function and Pathology 2
- Single-cell and spatial transcriptomics 2
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- Biotin and Related Studies 3
- Co-authors
- John L. Rinn (5 shared papers)Ezgi Hacisuleyman (1 shared paper)Scott T. Younger (1 shared paper)William Mallard (2 shared papers)Alice Y. Ting (2 shared papers)Marta Melé (2 shared papers)Chiara Gerhardinger (2 shared papers)Pornchai Kaewsapsak (1 shared paper)
- Journals
- Nature Methods (3 papers)Cell Reports (2 papers)Nature Structural & Molecular Biology (2 papers)The EMBO Journal (1 paper)Trends in Genetics (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
David M Shechner
16 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 65
- Cancer Research 317
- Molecular Biology 886
- Aging 20
- Cell Biology 137
- Business and International Management 9
Countries citing papers authored by David M Shechner
This map shows the geographic impact of David M 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 M 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 M Shechner more than expected).
Fields of papers citing papers by David M Shechner
This network shows the impact of papers produced by David M 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 M Shechner. The network helps show where David M Shechner may publish in the future.
Co-authors
The 25 scholars most cited alongside David M 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 | 242 | |
| 2 | 2016 | 182 | |
| 3 | 2017 | 154 | |
| 4 | 2019 | 120 | |
| 5 | 2009 | 100 | |
| 6 | 2018 | 96 | |
| 7 | 2017 | 67 | |
| 8 | 2024 | 19 | |
| 9 | 2009 | 13 | |
| 10 | 2001 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 3 | |
| 13 | 2024 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2010 | 1 | |
| 16 | 2020 | 1 |
About David M Shechner
David M Shechner is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Astronomy and Astrophysics and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (8 papers), RNA modifications and cancer (5 papers), RNA Research and Splicing (5 papers), Biotin and Related Studies (3 papers), CRISPR and Genetic Engineering (3 papers), Cancer-related molecular mechanisms research (3 papers), Mitochondrial Function and Pathology (2 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Cancer Research (317 citations), Molecular Biology (886 citations), Aging (20 citations), Cell Biology (137 citations) and Business and International Management (9 citations). David M Shechner has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include John L. Rinn, Ezgi Hacisuleyman, Scott T. Younger, William Mallard, Alice Y. Ting, Marta Melé, Chiara Gerhardinger, Pornchai Kaewsapsak, Kaia Mattioli and Philipp G. Maass. Their work appears in journals such as Nature Methods, Cell Reports, Nature Structural & Molecular Biology, The EMBO Journal 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.