Daniel J. Mandell
Impact in
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- CRISPR and Genetic Engineering
- Microbial Metabolic Engineering and Bioproduction
- Gene Regulatory Network Analysis
- Biotechnology top 10%
Papers in
-
- RNA and protein synthesis mechanisms 5
- Protein Structure and Dynamics 4
- CRISPR and Genetic Engineering 3
- Photosynthetic Processes and Mechanisms 2
-
- Service-Oriented Architecture and Web Services 2
- Co-authors
- Tanja Kortemme (6 shared papers)George M. Church (2 shared papers)Gleb Kuznetsov (1 shared paper)Barry Stoddard (1 shared paper)Julie E. Norville (1 shared paper)Ryo Takeuchi (1 shared paper)Michael T. Mee (1 shared paper)Christopher Gregg (1 shared paper)
- Journals
- Cell (2 papers)eLife (1 paper)Journal of the American Chemical Society (1 paper)International Journal of Molecular Sciences (1 paper)Science (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Daniel J. Mandell
14 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 114
- Molecular Biology 997
- Biotechnology 89
- Cellular and Molecular Neuroscience 108
- Genetics 162
- Cell Biology 63
Countries citing papers authored by Daniel J. Mandell
This map shows the geographic impact of Daniel J. Mandell'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 Daniel J. Mandell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Mandell more than expected).
Fields of papers citing papers by Daniel J. Mandell
This network shows the impact of papers produced by Daniel J. Mandell. 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 Daniel J. Mandell. The network helps show where Daniel J. Mandell may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Mandell, 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 | 311 | |
| 2 | 2011 | 194 | |
| 3 | 2009 | 130 | |
| 4 | 2015 | 125 | |
| 5 | 2007 | 110 | |
| 6 | 2019 | 92 | |
| 7 | 2009 | 85 | |
| 8 | 2006 | 70 | |
| 9 | A Bottom-Up Approach to Automating Web Service Discovery, Customization, and Semantic Translation | 2003 | 35 |
| 10 | 2011 | 27 | |
| 11 | 2021 | 25 | |
| 12 | 2020 | 10 | |
| 13 | 2003 | 4 | |
| 14 | 2011 | 4 |
About Daniel J. Mandell
Daniel J. Mandell is a scholar working on Molecular Biology, Information Systems, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Materials Chemistry, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Protein Structure and Dynamics (4 papers), CRISPR and Genetic Engineering (3 papers), Semantic Web and Ontologies (2 papers), Service-Oriented Architecture and Web Services (2 papers), Enzyme Structure and Function (2 papers), Photosynthetic Processes and Mechanisms (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Molecular Biology (997 citations), Biotechnology (89 citations), Cellular and Molecular Neuroscience (108 citations), Genetics (162 citations) and Cell Biology (63 citations). Daniel J. Mandell has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Tanja Kortemme, George M. Church, Gleb Kuznetsov, Barry Stoddard, Julie E. Norville, Ryo Takeuchi, Michael T. Mee, Christopher Gregg, Marc J. Lajoie and Il‐Hyung Lee. Their work appears in journals such as Cell, eLife, Journal of the American Chemical Society, International Journal of Molecular Sciences and Science.
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.