Suzanne B. Por
- Rheumatology top 1%
- Immunology top 5%
- Physiology top 5%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Samuel N. BreitStella M. ValenzuelaJoan M. RobbinsMichelle BootcovBradley J. WalshStephen M. MahlerKimberley PryorW. Douglas Fairlie
- Topics
- Neuroscience and Neuropharmacology Research (4 papers)Microtubule and mitosis dynamics (3 papers)Plant Reproductive Biology (3 papers)
- Cited by
- RheumatologyImmunologyPhysiology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Immunology
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Suzanne B. Por
18 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Rheumatology 838
- Immunology 582
- Physiology 574
- Molecular Biology 556
- Cellular and Molecular Neuroscience 237
Countries citing papers authored by Suzanne B. Por
This map shows the geographic impact of Suzanne B. Por'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 Suzanne B. Por with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanne B. Por more than expected).
Fields of papers citing papers by Suzanne B. Por
This network shows the impact of papers produced by Suzanne B. Por. 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 Suzanne B. Por. The network helps show where Suzanne B. Por may publish in the future.
Co-authorship network of co-authors of Suzanne B. Por
This figure shows the co-authorship network connecting the top 25 collaborators of Suzanne B. Por. A scholar is included among the top collaborators of Suzanne B. Por 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 Suzanne B. Por. Suzanne B. Por is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 185 | |
| 2 | MIC-1, a novel macrophage inhibitory cytokine, is a divergent member of the TGF-β superfamilybreakdown → | 956 |
| 3 | 17 | |
| 4 | 39 | |
| 5 | 21 | |
| 6 | 45 | |
| 7 | 59 | |
| 8 | 17 | |
| 9 | 26 | |
| 10 | 98 | |
| 11 | 17 | |
| 12 | 3 | |
| 13 | 27 | |
| 14 | 13 | |
| 15 | 3 | |
| 16 | 16 | |
| 17 | 5 | |
| 18 | 6 |
About Suzanne B. Por
Suzanne B. Por is a scholar working on Cell Biology, Cellular and Molecular Neuroscience and Electrochemistry, having authored 18 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Microtubule and mitosis dynamics (3 papers) and Plant Reproductive Biology (3 papers). The work is most often cited by research in Rheumatology (838 citations), Immunology (582 citations) and Physiology (574 citations). Suzanne B. Por has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Samuel N. Breit, Stella M. Valenzuela, Joan M. Robbins, Michelle Bootcov, Bradley J. Walsh, Stephen M. Mahler, Kimberley Pryor, W. Douglas Fairlie, Asne R. Bauskin and Anthony G. Moore. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.
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.