Ronald L. Neppl
- Molecular Biology
- Surgery
- Cardiology and Cardiovascular Medicine top 10%
- Physiology
- Geriatrics and Gerontology top 2%
- Co-authors
- Da‐Zhi WangYori EndoIndranil SinhaAvril V. SomlyoAdriana C. PanayiDennis P. OrgillDharaniya SakthivelHouman Javedan
- Topics
- Muscle Physiology and Disorders (9 papers)Circular RNAs in diseases (5 papers)MicroRNA in disease regulation (4 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Ronald L. Neppl
27 papers receiving 968 citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Molecular Biology 529
- Surgery 211
- Cardiology and Cardiovascular Medicine 188
- Physiology 188
- Geriatrics and Gerontology 166
Countries citing papers authored by Ronald L. Neppl
This map shows the geographic impact of Ronald L. Neppl'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 Ronald L. Neppl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronald L. Neppl more than expected).
Fields of papers citing papers by Ronald L. Neppl
This network shows the impact of papers produced by Ronald L. Neppl. 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 Ronald L. Neppl. The network helps show where Ronald L. Neppl may publish in the future.
Co-authorship network of co-authors of Ronald L. Neppl
This figure shows the co-authorship network connecting the top 25 collaborators of Ronald L. Neppl. A scholar is included among the top collaborators of Ronald L. Neppl 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 Ronald L. Neppl. Ronald L. Neppl 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 | 13 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | Impact of frailty on outcomes in surgical patients: A systematic review and meta-analysisbreakdown → | 246 |
| 7 | 26 | |
| 8 | 21 | |
| 9 | 82 | |
| 10 | 115 | |
| 11 | 89 | |
| 12 | 1 | |
| 13 | 12 | |
| 14 | 25 | |
| 15 | 10 | |
| 16 | 35 | |
| 17 | 45 | |
| 18 | 1 | |
| 19 | In vivo detection of postictal perturbations of cerebral metabolism by use of proton MR spectroscopy: preliminary results in a canine model of prolonged generalized seizures. | 27 |
| 20 | Discrimination between neoplastic and nonneoplastic brain lesions by use of proton MR spectroscopy: the limits of accuracy with a logistic regression model. | 48 |
About Ronald L. Neppl
Ronald L. Neppl is a scholar working on Cancer Research, Molecular Biology and Geriatrics and Gerontology, having authored 27 papers that have together received 984 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (9 papers), Circular RNAs in diseases (5 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Geriatrics and Gerontology (166 citations), Cancer Research (125 citations) and Cardiology and Cardiovascular Medicine (188 citations). Ronald L. Neppl has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Da‐Zhi Wang, Yori Endo, Indranil Sinha, Avril V. Somlyo, Adriana C. Panayi, Dennis P. Orgill, Dharaniya Sakthivel, Houman Javedan, Shalender Bhasin and Ariela R. Orkaby. Their work appears in journals such as Journal of Biological Chemistry, Genes & Development 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.