Conrad C. Weihl
- Molecular Biology top 5%
- Cell Biology top 1%
- Neurology top 1%
- Epidemiology top 2%
- Cellular and Molecular Neuroscience top 2%
- Co-authors
- Alan PestronkHemmo MeyerJeong-Sun JuPhyllis I. HansonVirginia KimonisRobert H. BalohSara MillerGlenn Lopate
- Topics
- Muscle Physiology and Disorders (35 papers)Genetic Neurodegenerative Diseases (26 papers)Endoplasmic Reticulum Stress and Disease (16 papers)
- Cited by
- Cell BiologyNeurologyGenetics
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Conrad C. Weihl
94 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 2.4k
- Cell Biology 1.1k
- Neurology 1.0k
- Epidemiology 1.0k
- Cellular and Molecular Neuroscience 736
Countries citing papers authored by Conrad C. Weihl
This map shows the geographic impact of Conrad C. Weihl'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 Conrad C. Weihl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Conrad C. Weihl more than expected).
Fields of papers citing papers by Conrad C. Weihl
This network shows the impact of papers produced by Conrad C. Weihl. 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 Conrad C. Weihl. The network helps show where Conrad C. Weihl may publish in the future.
Co-authorship network of co-authors of Conrad C. Weihl
This figure shows the co-authorship network connecting the top 25 collaborators of Conrad C. Weihl. A scholar is included among the top collaborators of Conrad C. Weihl based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Conrad C. Weihl. Conrad C. Weihl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 28 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 28 | |
| 11 | 67 | |
| 12 | 22 | |
| 13 | 57 | |
| 14 | 7 | |
| 15 | 29 | |
| 16 | 16 | |
| 17 | 98 | |
| 18 | 26 | |
| 19 | 77 | |
| 20 | 21 |
About Conrad C. Weihl
Conrad C. Weihl is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Neurology, having authored 100 papers that have together received 4.0k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (35 papers), Genetic Neurodegenerative Diseases (26 papers) and Endoplasmic Reticulum Stress and Disease (16 papers). The work is most often cited by research in Cell Biology (1.1k citations), Neurology (1.0k citations) and Genetics (615 citations). Conrad C. Weihl has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Alan Pestronk, Hemmo Meyer, Jeong-Sun Ju, Phyllis I. Hanson, Virginia Kimonis, Robert H. Baloh, Sara Miller, Glenn Lopate, Peyker Temız and Sara K. Pittman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.