Mark J. Suto
- Molecular Biology top 5%
- Cancer therapeutics and mechanisms 8
- Chemical Synthesis and Analysis 8
- RNA Interference and Gene Delivery 4
- Cancer Research top 5%
- NF-κB Signaling Pathways 7
- Organic Chemistry top 5%
- Synthesis and Biological Evaluation 6
- Synthesis and biological activity 5
- Synthetic Organic Chemistry Methods 4
- Oncology top 5%
- Cytokine Signaling Pathways and Interactions 5
- Physiology top 5%
- Co-authors
- Joanne E. Murphy-UllrichYonghe LiTaj D. KingWilliam R. TurnerWei ZhangJudith S. Sebolt–LeopoldIndira PadmalayamMoorthy S. S. Palanki
- Journals
- Journal of Medicinal Chemistry (13 papers)Tetrahedron Letters (6 papers)Bioorganic & Medicinal Chemistry Letters (5 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
Mark J. Suto
87 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 1.5k
- Cancer Research 320
- Organic Chemistry 564
- Oncology 531
- Physiology 61
Countries citing papers authored by Mark J. Suto
This map shows the geographic impact of Mark J. Suto'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 J. Suto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark J. Suto more than expected).
Fields of papers citing papers by Mark J. Suto
This network shows the impact of papers produced by Mark J. Suto. 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 J. Suto. The network helps show where Mark J. Suto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark J. Suto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 6 | |
| 3 | 2022 | 5 | |
| 4 | 2021 | 6 | |
| 5 | 2020 | 4 | |
| 6 | 2020 | 15 | |
| 7 | 2020 | 7 | |
| 8 | 2020 | 8 | |
| 9 | 2020 | 2 | |
| 10 | 2017 | 233 | |
| 11 | 2016 | 49 | |
| 12 | 2016 | 63 | |
| 13 | 2016 | 4 | |
| 14 | 2014 | 18 | |
| 15 | 2011 | 118 | |
| 16 | 2003 | 32 | |
| 17 | SP100030 is a novel T-cell-specific transcription factor inhibitor that possesses immunosuppressive activity in vivo. | 1996 | 11 |
| 18 | 1993 | 22 | |
| 19 | 1991 | 6 | |
| 20 | 1988 | 113 |
About Mark J. Suto
Mark J. Suto is a scholar working on Cancer Research, Organic Chemistry, Molecular Biology, Oncology and Physiology, having authored 88 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (8 papers), Chemical Synthesis and Analysis (8 papers), NF-κB Signaling Pathways (7 papers), Synthesis and Biological Evaluation (6 papers), Synthesis and biological activity (5 papers), Cytokine Signaling Pathways and Interactions (5 papers), RNA Interference and Gene Delivery (4 papers) and Synthetic Organic Chemistry Methods (4 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Cancer Research (320 citations), Organic Chemistry (564 citations), Oncology (531 citations) and Physiology (61 citations). Mark J. Suto has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Joanne E. Murphy-Ullrich, Yonghe Li, Taj D. King, William R. Turner, Wei Zhang, Judith S. Sebolt–Leopold, Indira Padmalayam, Moorthy S. S. Palanki, Lynn J. Ransone and A. J. Solo. Their work appears in journals such as Journal of Medicinal Chemistry, Tetrahedron Letters, Bioorganic & Medicinal Chemistry Letters, Oncotarget and Journal of Biological 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.