Jodi Basner
Impact in
- Gender Studies top 10%
- Diversity and Career in Medicine
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- Protein Structure and Dynamics
- Photosynthetic Processes and Mechanisms
- RNA and protein synthesis mechanisms
Papers in
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- Protein Structure and Dynamics 3
- Genetics, Bioinformatics, and Biomedical Research 1
- Machine Learning in Bioinformatics 1
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- scientometrics and bibliometrics research 3
- Co-authors
- Steven D. Schwartz (3 shared papers)Dimitri Antoniou (1 shared paper)Sara Núñez (1 shared paper)Joshua D. Schnell (3 shared papers)Donna K. Ginther (1 shared paper)Walter T. Schaffer (1 shared paper)Raynard Kington (1 shared paper)Changhoon Kim (1 shared paper)
- Journals
- The Journal of Physical Chemistry B (2 papers)Journal of the American Chemical Society (1 paper)BMC Bioinformatics (1 paper)Research Evaluation (1 paper)Chemical Reviews (1 paper)
- Partner nations
- United StatesSouth KoreaNetherlands
In The Last Decade
Jodi Basner
10 papers receiving 422 citations
Peers
Comparison fields: 5 of 94
- Gender Studies 46
- Molecular Biology 249
- Information Systems and Management 24
- Statistics, Probability and Uncertainty 24
- Physical and Theoretical Chemistry 28
Countries citing papers authored by Jodi Basner
This map shows the geographic impact of Jodi Basner'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 Jodi Basner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jodi Basner more than expected).
Fields of papers citing papers by Jodi Basner
This network shows the impact of papers produced by Jodi Basner. 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 Jodi Basner. The network helps show where Jodi Basner may publish in the future.
Co-authors
The 23 scholars most cited alongside Jodi Basner, 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 | 2005 | 127 | |
| 2 | 2006 | 96 | |
| 3 | 2018 | 79 | |
| 4 | 2003 | 47 | |
| 5 | 2010 | 31 | |
| 6 | 2013 | 26 | |
| 7 | 2008 | 8 | |
| 8 | 2017 | 6 | |
| 9 | 2022 | 5 | |
| 10 | A new approach for automated author discipline categorization and evaluation of cross-disciplinary collaborations for grant programs | 2013 | 1 |
About Jodi Basner
Jodi Basner is a scholar working on Molecular Biology, Statistics, Probability and Uncertainty, Information Systems, Information Systems and Management and Physical and Theoretical Chemistry, having authored 10 papers that have together received 426 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (3 papers), Protein Structure and Dynamics (3 papers), Enzyme Structure and Function (2 papers), Interdisciplinary Research and Collaboration (2 papers), Research Data Management Practices (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Machine Learning in Bioinformatics (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Gender Studies (46 citations), Molecular Biology (249 citations), Information Systems and Management (24 citations), Statistics, Probability and Uncertainty (24 citations) and Physical and Theoretical Chemistry (28 citations). Jodi Basner has collaborated with scholars based in United States, South Korea and Netherlands. Frequent co-authors include Steven D. Schwartz, Dimitri Antoniou, Sara Núñez, Joshua D. Schnell, Donna K. Ginther, Walter T. Schaffer, Raynard Kington, Changhoon Kim, Byung Kook Lee and Christopher Jarzynski. Their work appears in journals such as The Journal of Physical Chemistry B, Journal of the American Chemical Society, BMC Bioinformatics, Research Evaluation and Chemical Reviews.
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.