Jordan G. McCall
- Cellular and Molecular Neuroscience top 0.5%
- Molecular Biology top 10%
- Cognitive Neuroscience top 2%
- Biomedical Engineering top 5%
- Physiology top 5%
- Co-authors
- Michael R. BruchasReam Al‐HasaniEdward R. SiudaDaniel Y. HongGunchul ShinAaron J. NorrisChristopher FordJae‐Woong Jeong
- Topics
- Photoreceptor and optogenetics research (22 papers)Neuroscience and Neural Engineering (18 papers)Neuroscience and Neuropharmacology Research (11 papers)
- Partner nations
- United StatesSouth KoreaAustralia
In The Last Decade
Jordan G. McCall
48 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Cellular and Molecular Neuroscience 2.1k
- Molecular Biology 878
- Cognitive Neuroscience 875
- Biomedical Engineering 769
- Physiology 406
Countries citing papers authored by Jordan G. McCall
This map shows the geographic impact of Jordan G. McCall'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 Jordan G. McCall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jordan G. McCall more than expected).
Fields of papers citing papers by Jordan G. McCall
This network shows the impact of papers produced by Jordan G. McCall. 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 Jordan G. McCall. The network helps show where Jordan G. McCall may publish in the future.
Co-authorship network of co-authors of Jordan G. McCall
This figure shows the co-authorship network connecting the top 25 collaborators of Jordan G. McCall. A scholar is included among the top collaborators of Jordan G. McCall 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 Jordan G. McCall. Jordan G. McCall 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 | 1 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 18 | |
| 8 | 170 | |
| 9 | 130 | |
| 10 | 149 | |
| 11 | 71 | |
| 12 | 50 | |
| 13 | 58 | |
| 14 | 109 | |
| 15 | 9 | |
| 16 | 256 | |
| 17 | 58 | |
| 18 | 59 | |
| 19 | 153 | |
| 20 | 43 |
About Jordan G. McCall
Jordan G. McCall is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Biological Psychiatry, having authored 52 papers that have together received 3.4k indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (22 papers), Neuroscience and Neural Engineering (18 papers) and Neuroscience and Neuropharmacology Research (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.1k citations), Behavioral Neuroscience (402 citations) and Cognitive Neuroscience (875 citations). Jordan G. McCall has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Michael R. Bruchas, Ream Al‐Hasani, Edward R. Siuda, Daniel Y. Hong, Gunchul Shin, Aaron J. Norris, Christopher Ford, Jae‐Woong Jeong, Dionnet L. Bhatti and John A. Rogers. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.
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.