Mark A. Suckow
- Molecular Biology top 5%
- Immunology top 5%
- Organic Chemistry top 5%
- Oncology top 10%
- Cancer Research top 5%
- Co-authors
- William R. WolterValerie A. SchroederMayland ChangShahriar MobasheryMajor GooyitBradley D. SmithPeggy J. DannemanCory Brayton
- Topics
- Protease and Inhibitor Mechanisms (14 papers)Immunotherapy and Immune Responses (13 papers)RNA Interference and Gene Delivery (12 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyPLoS ONE
- Partner nations
- United StatesIndiaAustralia
In The Last Decade
Mark A. Suckow
138 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 149
- Molecular Biology 1.4k
- Immunology 451
- Organic Chemistry 440
- Oncology 416
- Cancer Research 380
Countries citing papers authored by Mark A. Suckow
This map shows the geographic impact of Mark A. Suckow'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 Mark A. Suckow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark A. Suckow more than expected).
Fields of papers citing papers by Mark A. Suckow
This network shows the impact of papers produced by Mark A. Suckow. 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 Mark A. Suckow. The network helps show where Mark A. Suckow may publish in the future.
Co-authorship network of co-authors of Mark A. Suckow
This figure shows the co-authorship network connecting the top 25 collaborators of Mark A. Suckow. A scholar is included among the top collaborators of Mark A. Suckow 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 Mark A. Suckow. Mark A. Suckow 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 | 3 | |
| 4 | 19 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 55 | |
| 8 | 119 | |
| 9 | 15 | |
| 10 | 96 | |
| 11 | 85 | |
| 12 | 8 | |
| 13 | 11 | |
| 14 | 16 | |
| 15 | 13 | |
| 16 | 4 | |
| 17 | 70 | |
| 18 | Evaluation of the Analgesic Effects of Butorphanol Tartrate, Xylazine Hydrochloride, and Flunixin Meglumine in Leopard Frogs (Rana pipiens) | 12 |
| 19 | Oral vaccination of animals via hydrogels | 1 |
| 20 | 2 |
About Mark A. Suckow
Mark A. Suckow is a scholar working on Microbiology, Small Animals and Cancer Research, having authored 140 papers that have together received 4.2k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (14 papers), Immunotherapy and Immune Responses (13 papers) and RNA Interference and Gene Delivery (12 papers). The work is most often cited by research in Molecular Medicine (276 citations), Rehabilitation (300 citations) and Microbiology (190 citations). Mark A. Suckow has collaborated with scholars based in United States, India and Australia. Frequent co-authors include William R. Wolter, Valerie A. Schroeder, Mayland Chang, Shahriar Mobashery, Major Gooyit, Bradley D. Smith, Peggy J. Danneman, Cory Brayton, William Wolter and Terry L. Bowersock. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and PLoS ONE.
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.