Sid Suggs
Impact in
- Oncology top 1%
- Colorectal Cancer Treatments and Studies
- Cancer Treatment and Pharmacology
- HER2/EGFR in Cancer Research
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
- Oncology 6
- Colorectal Cancer Treatments and Studies 3
- Cancer-related Molecular Pathways 1
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- Genetic factors in colorectal cancer 2
- Co-authors
- Daniel J. Freeman (3 shared papers)Michael Wolf (3 shared papers)Todd Juan (3 shared papers)Scott Donald Patterson (4 shared papers)Robert S. Sikorski (2 shared papers)Salvatore Siena (2 shared papers)Eric Van Cutsem (2 shared papers)Robert Radinsky (2 shared papers)
- Journals
- Journal of Clinical Oncology (2 papers)Diagnostic Pathology (1 paper)Gene (1 paper)Cytometry Part B Clinical Cytometry (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesCanadaBelgium
In The Last Decade
Sid Suggs
9 papers receiving 2.9k citations
Sid Suggs's Hit Papers
Peers
Comparison fields: 5 of 83
- Oncology 2.0k
- Cancer Research 571
- Pathology and Forensic Medicine 661
- Hepatology 277
- Pulmonary and Respiratory Medicine 665
Countries citing papers authored by Sid Suggs
This map shows the geographic impact of Sid Suggs'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 Sid Suggs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sid Suggs more than expected).
Fields of papers citing papers by Sid Suggs
This network shows the impact of papers produced by Sid Suggs. 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 Sid Suggs. The network helps show where Sid Suggs may publish in the future.
Co-authors
The 25 scholars most cited alongside Sid Suggs, 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 | Wild-Type KRAS Is Required for Panitumumab Efficacy in Patients With Metastatic Colorectal Cancer Hit paper breakdown → | 2008 | 2663 |
| 2 | 1997 | 107 | |
| 3 | 1995 | 96 | |
| 4 | 1996 | 71 | |
| 5 | 1998 | 48 | |
| 6 | 2010 | 48 | |
| 7 | 2023 | 22 | |
| 8 | 2009 | 10 | |
| 9 | 2008 | 2 |
About Sid Suggs
Sid Suggs is a scholar working on Oncology, Pathology and Forensic Medicine, Immunology, Statistics and Probability and Hematology, having authored 9 papers that have together received 3.1k indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (3 papers), Ubiquitin and proteasome pathways (2 papers), Genetic factors in colorectal cancer (2 papers), Statistical Methods in Clinical Trials (1 paper), Pediatric Hepatobiliary Diseases and Treatments (1 paper), interferon and immune responses (1 paper), Platelet Disorders and Treatments (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Oncology (2.0k citations), Cancer Research (571 citations), Pathology and Forensic Medicine (661 citations), Hepatology (277 citations) and Pulmonary and Respiratory Medicine (665 citations). Sid Suggs has collaborated with scholars based in United States, Canada and Belgium. Frequent co-authors include Daniel J. Freeman, Michael Wolf, Todd Juan, Scott Donald Patterson, Robert S. Sikorski, Salvatore Siena, Eric Van Cutsem, Robert Radinsky, David D. Chang and Marc Peeters. Their work appears in journals such as Journal of Clinical Oncology, Diagnostic Pathology, Gene, Cytometry Part B Clinical Cytometry 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.