Steve Sideris
Impact in
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- Melanoma and MAPK Pathways
- PI3K/AKT/mTOR signaling in cancer
- Protein Kinase Regulation and GTPase Signaling
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- Computational Drug Discovery Methods
Papers in
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- Cancer therapeutics and mechanisms 4
- Protein Kinase Regulation and GTPase Signaling 3
- Melanoma and MAPK Pathways 2
- Chemical Synthesis and Analysis 2
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- Quinazolinone synthesis and applications 3
- Co-authors
- Lili Chen (2 shared papers)Pamela C. Ronald (2 shared papers)Guo‐Liang Wang (2 shared papers)Shiva Malek (8 shared papers)Shiping Zhang (2 shared papers)Maureen C. Whalen (2 shared papers)Claude Fauquet (2 shared papers)Kyle Elrod (4 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (6 papers)The Plant Cell (2 papers)Analytical Biochemistry (2 papers)Cancer Cell (1 paper)ACS Medicinal Chemistry Letters (1 paper)
- Partner nations
- United StatesSingaporeFrance
In The Last Decade
Steve Sideris
19 papers receiving 899 citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 578
- Computational Theory and Mathematics 120
- Plant Science 270
- Genetics 57
- Oncology 127
Countries citing papers authored by Steve Sideris
This map shows the geographic impact of Steve Sideris'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 Steve Sideris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Sideris more than expected).
Fields of papers citing papers by Steve Sideris
This network shows the impact of papers produced by Steve Sideris. 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 Steve Sideris. The network helps show where Steve Sideris may publish in the future.
Co-authors
The 25 scholars most cited alongside Steve Sideris, 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 | 1998 | 261 | |
| 2 | 2014 | 176 | |
| 3 | 2016 | 76 | |
| 4 | 2012 | 68 | |
| 5 | 2001 | 61 | |
| 6 | 2000 | 48 | |
| 7 | 2000 | 47 | |
| 8 | 2015 | 39 | |
| 9 | 2002 | 36 | |
| 10 | 2013 | 26 | |
| 11 | 2013 | 25 | |
| 12 | 1998 | 24 | |
| 13 | 2014 | 17 | |
| 14 | 2014 | 15 | |
| 15 | 2003 | 14 | |
| 16 | 2008 | 13 | |
| 17 | 1999 | 10 | |
| 18 | 2008 | 6 | |
| 19 | 2009 | 1 |
About Steve Sideris
Steve Sideris is a scholar working on Molecular Biology, Organic Chemistry, Computational Theory and Mathematics, Genetics and Oncology, having authored 19 papers that have together received 963 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Cancer therapeutics and mechanisms (4 papers), Quinazolinone synthesis and applications (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Melanoma and MAPK Pathways (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), HER2/EGFR in Cancer Research (2 papers) and Chemical Synthesis and Analysis (2 papers). The work is most often cited by research in Molecular Biology (578 citations), Computational Theory and Mathematics (120 citations), Plant Science (270 citations), Genetics (57 citations) and Oncology (127 citations). Steve Sideris has collaborated with scholars based in United States, Singapore and France. Frequent co-authors include Lili Chen, Pamela C. Ronald, Guo‐Liang Wang, Shiva Malek, Shiping Zhang, Maureen C. Whalen, Claude Fauquet, Kyle Elrod, Brandon S. Gaut and Zhen Zhang. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, The Plant Cell, Analytical Biochemistry, Cancer Cell and ACS Medicinal Chemistry Letters.
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.