Steven U. Walkley
- Physiology top 0.2%
- Molecular Biology top 5%
- Cell Biology top 0.5%
- Epidemiology top 2%
- Physiology top 0.1%
- Co-authors
- Kostantin DobrenisMarie T. VanierMark ZervasCristin DavidsonKinuko SuzukiRobert McGlynnMary Anna ThrallSusan A. Slaugenhaupt
- Topics
- Lysosomal Storage Disorders Research (84 papers)Cellular transport and secretion (38 papers)Calcium signaling and nucleotide metabolism (18 papers)
- Cited by
- PhysiologyCell Biology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- United StatesFranceGermany
In The Last Decade
Steven U. Walkley
108 papers receiving 6.2k citations
Peers
Comparison fields: 5 of 117
- Physiology 4.3k
- Molecular Biology 2.0k
- Cell Biology 1.8k
- Epidemiology 1.3k
- Physiology 1.2k
Countries citing papers authored by Steven U. Walkley
This map shows the geographic impact of Steven U. Walkley'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 Steven U. Walkley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven U. Walkley more than expected).
Fields of papers citing papers by Steven U. Walkley
This network shows the impact of papers produced by Steven U. Walkley. 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 Steven U. Walkley. The network helps show where Steven U. Walkley may publish in the future.
Co-authorship network of co-authors of Steven U. Walkley
This figure shows the co-authorship network connecting the top 25 collaborators of Steven U. Walkley. A scholar is included among the top collaborators of Steven U. Walkley 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 Steven U. Walkley. Steven U. Walkley 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 | 93 | |
| 3 | 48 | |
| 4 | 67 | |
| 5 | 33 | |
| 6 | 29 | |
| 7 | 84 | |
| 8 | 79 | |
| 9 | 167 | |
| 10 | 40 | |
| 11 | 137 | |
| 12 | 175 | |
| 13 | 72 | |
| 14 | 217 | |
| 15 | 70 | |
| 16 | 5 | |
| 17 | 21 | |
| 18 | 28 | |
| 19 | 22 | |
| 20 | Animal models of diabetes and obesity, including the PBB/Ld mouse. | 38 |
About Steven U. Walkley
Steven U. Walkley is a scholar working on Physiology, Physiology and Cell Biology, having authored 109 papers that have together received 6.3k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (84 papers), Cellular transport and secretion (38 papers) and Calcium signaling and nucleotide metabolism (18 papers). The work is most often cited by research in Physiology (1.2k citations), Physiology (4.3k citations) and Cell Biology (1.8k citations). Steven U. Walkley has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Kostantin Dobrenis, Marie T. Vanier, Mark Zervas, Cristin Davidson, Kinuko Suzuki, Robert McGlynn, Mary Anna Thrall, Susan A. Slaugenhaupt, Matthew C. Micsenyi and Sarah Wurzelmann. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.
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.