Kevin A. Morano
- Molecular Biology top 2%
- Cell Biology top 1%
- Epidemiology top 5%
- Plant Science top 10%
- Physical and Theoretical Chemistry top 2%
- Co-authors
- Chris M. GrantW. Scott Moye‐RowleyDaniel J. KlionskyLance ShanerYanyu WangSidney V. ScottDennis J. ThieleJacob Verghese
- Topics
- Heat shock proteins research (40 papers)Endoplasmic Reticulum Stress and Disease (21 papers)Fungal and yeast genetics research (16 papers)
- Cited by
- AgingCell BiologyMolecular Biology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Cell Biology
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Kevin A. Morano
55 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Molecular Biology 2.9k
- Cell Biology 1.0k
- Epidemiology 591
- Plant Science 340
- Physical and Theoretical Chemistry 265
Countries citing papers authored by Kevin A. Morano
This map shows the geographic impact of Kevin A. Morano'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 Kevin A. Morano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin A. Morano more than expected).
Fields of papers citing papers by Kevin A. Morano
This network shows the impact of papers produced by Kevin A. Morano. 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 Kevin A. Morano. The network helps show where Kevin A. Morano may publish in the future.
Co-authorship network of co-authors of Kevin A. Morano
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin A. Morano. A scholar is included among the top collaborators of Kevin A. Morano 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 Kevin A. Morano. Kevin A. Morano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 31 | |
| 8 | 14 | |
| 9 | 1 | |
| 10 | 9 | |
| 11 | 57 | |
| 12 | 188 | |
| 13 | 173 | |
| 14 | 125 | |
| 15 | 19 | |
| 16 | 81 | |
| 17 | 71 | |
| 18 | 54 | |
| 19 | 109 | |
| 20 | 54 |
About Kevin A. Morano
Kevin A. Morano is a scholar working on Aging, Cell Biology and Physical and Theoretical Chemistry, having authored 55 papers that have together received 3.7k indexed citations. Recurring topics across this work include Heat shock proteins research (40 papers), Endoplasmic Reticulum Stress and Disease (21 papers) and Fungal and yeast genetics research (16 papers). The work is most often cited by research in Aging (218 citations), Cell Biology (1.0k citations) and Molecular Biology (2.9k citations). Kevin A. Morano has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Chris M. Grant, W. Scott Moye‐Rowley, Daniel J. Klionsky, Lance Shaner, Yanyu Wang, Sidney V. Scott, Dennis J. Thiele, Jacob Verghese, Amy Trott and James D. West. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.
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.