Susan M. Wade
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Cell Biology top 10%
- Oncology
- Cardiology and Cardiovascular Medicine
- Co-authors
- Richard R. NeubigChris R. EvelynJennifer J. LindermanMei WuJorge A. Iñiguez‐LluhíSofía D. MerajverQin WangJessica L. Bell
- Topics
- Receptor Mechanisms and Signaling (17 papers)Protein Kinase Regulation and GTPase Signaling (9 papers)Neuropeptides and Animal Physiology (7 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaAnalytical Chemistry
- Partner nations
- United StatesJapanBulgaria
In The Last Decade
Susan M. Wade
30 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 768
- Cellular and Molecular Neuroscience 279
- Cell Biology 129
- Oncology 85
- Cardiology and Cardiovascular Medicine 76
Countries citing papers authored by Susan M. Wade
This map shows the geographic impact of Susan M. Wade'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 Susan M. Wade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan M. Wade more than expected).
Fields of papers citing papers by Susan M. Wade
This network shows the impact of papers produced by Susan M. Wade. 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 Susan M. Wade. The network helps show where Susan M. Wade may publish in the future.
Co-authorship network of co-authors of Susan M. Wade
This figure shows the co-authorship network connecting the top 25 collaborators of Susan M. Wade. A scholar is included among the top collaborators of Susan M. Wade 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 Susan M. Wade. Susan M. Wade is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 30 | |
| 3 | 8 | |
| 4 | 14 | |
| 5 | 59 | |
| 6 | 11 | |
| 7 | 22 | |
| 8 | 20 | |
| 9 | 11 | |
| 10 | 16 | |
| 11 | 48 | |
| 12 | 60 | |
| 13 | 175 | |
| 14 | 109 | |
| 15 | 50 | |
| 16 | 8 | |
| 17 | 31 | |
| 18 | 32 | |
| 19 | 25 | |
| 20 | 21 |
About Susan M. Wade
Susan M. Wade is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Animal Science and Zoology, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (17 papers), Protein Kinase Regulation and GTPase Signaling (9 papers) and Neuropeptides and Animal Physiology (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (279 citations), Molecular Biology (768 citations) and Cell Biology (129 citations). Susan M. Wade has collaborated with scholars based in United States, Japan and Bulgaria. Frequent co-authors include Richard R. Neubig, Chris R. Evelyn, Jennifer J. Linderman, Mei Wu, Jorge A. Iñiguez‐Lluhí, Sofía D. Merajver, Qin Wang, Jessica L. Bell, Scott D. Larsen and John R. Traynor. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Analytical Chemistry.
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.