Mark A. Suckow
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Rehabilitation top 1%
- Wound Healing and Treatments
Papers in
-
- RNA Interference and Gene Delivery 11
- Surgery 23
- Intestinal and Peritoneal Adhesions 7
- Co-authors
- William R. Wolter (38 shared papers)Valerie A. Schroeder (25 shared papers)Mayland Chang (24 shared papers)Shahriar Mobashery (21 shared papers)Major Gooyit (10 shared papers)Bradley D. Smith (7 shared papers)Peggy J. Danneman (3 shared papers)Cory Brayton (3 shared papers)
- Journals
- Journal of Medicinal Chemistry (7 papers)ACS Chemical Neuroscience (4 papers)Anticancer Research (4 papers)PLoS ONE (3 papers)Cancer Immunology Immunotherapy (3 papers)
- Partner nations
- United StatesIndiaPhilippines
In The Last Decade
Mark A. Suckow
138 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 147
- Molecular Medicine 265
- Rehabilitation 281
- Microbiology 173
- Cancer Research 358
- Pharmaceutical Science 156
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-authors
The 25 scholars most cited alongside Mark A. Suckow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 269 | |
| 2 | 1997 | 161 | |
| 3 | 2009 | 158 | |
| 4 | 2015 | 148 | |
| 5 | 2016 | 133 | |
| 6 | 2015 | 130 | |
| 7 | 2015 | 119 | |
| 8 | 2017 | 113 | |
| 9 | 2018 | 109 | |
| 10 | 2005 | 101 | |
| 11 | 2013 | 96 | |
| 12 | 1999 | 95 | |
| 13 | 2016 | 89 | |
| 14 | 2008 | 89 | |
| 15 | 2009 | 85 | |
| 16 | The laboratory mouse | 2001 | 84 |
| 17 | 2013 | 82 | |
| 18 | 2015 | 82 | |
| 19 | 2012 | 76 | |
| 20 | 2014 | 72 |
About Mark A. Suckow
Mark A. Suckow is a scholar working on Molecular Biology, Surgery, Immunology, Cancer Research and Oncology, having authored 141 papers that have together received 4.2k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (14 papers), RNA Interference and Gene Delivery (11 papers), Immunotherapy and Immune Responses (11 papers), Microbial infections and disease research (9 papers), Wound Healing and Treatments (7 papers), Peptidase Inhibition and Analysis (7 papers), Inflammatory mediators and NSAID effects (7 papers) and Intestinal and Peritoneal Adhesions (7 papers). The work is most often cited by research in Molecular Medicine (265 citations), Rehabilitation (281 citations), Microbiology (173 citations), Cancer Research (358 citations) and Pharmaceutical Science (156 citations). Mark A. Suckow has collaborated with scholars based in United States, India and Philippines. 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 Journal of Medicinal Chemistry, ACS Chemical Neuroscience, Anticancer Research, PLoS ONE and Cancer Immunology Immunotherapy.
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.