Stan Gill
Impact in
-
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
-
- Hepatitis C virus research
Papers in
- Oncology 7
- Colorectal Cancer Treatments and Studies 4
- Lung Cancer Research Studies 2
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- Antimicrobial Resistance in Staphylococcus 2
- Co-authors
- Jean‐Luc Van Laethem (1 shared paper)Walter L. Vervenne (1 shared paper)Jaafar Bennouna (1 shared paper)Aijing Shang (1 shared paper)Chris Verslype (1 shared paper)Malcolm J. Moore (1 shared paper)Eric Van Cutsem (1 shared paper)Yves Humblet (1 shared paper)
- Journals
- Journal of Clinical Oncology (6 papers)Journal of Hepatology (3 papers)Clinical Cancer Research (1 paper)Regulatory Toxicology and Pharmacology (1 paper)Reproductive Toxicology (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Stan Gill
15 papers receiving 170 citations
Peers
Comparison fields: 5 of 38
- Hematology 35
- Hepatology 22
- Oncology 70
- Genetics 24
- Epidemiology 34
Countries citing papers authored by Stan Gill
This map shows the geographic impact of Stan Gill'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 Stan Gill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stan Gill more than expected).
Fields of papers citing papers by Stan Gill
This network shows the impact of papers produced by Stan Gill. 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 Stan Gill. The network helps show where Stan Gill may publish in the future.
Co-authors
The 25 scholars most cited alongside Stan Gill, 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 | 2008 | 38 | |
| 2 | 2015 | 30 | |
| 3 | 2016 | 22 | |
| 4 | 2005 | 20 | |
| 5 | 2000 | 19 | |
| 6 | 2002 | 17 | |
| 7 | 2002 | 6 | |
| 8 | 2002 | 5 | |
| 9 | 2016 | 5 | |
| 10 | 2001 | 3 | |
| 11 | 2015 | 3 | |
| 12 | 2010 | 2 | |
| 13 | 2009 | 2 | |
| 14 | 2009 | 1 | |
| 15 | 2011 | 1 |
About Stan Gill
Stan Gill is a scholar working on Oncology, Infectious Diseases, Pharmacology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 15 papers that have together received 174 indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (4 papers), Acute Myeloid Leukemia Research (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Lung Cancer Research Studies (2 papers), Hepatitis B Virus Studies (2 papers), Cancer therapeutics and mechanisms (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). The work is most often cited by research in Hematology (35 citations), Hepatology (22 citations), Oncology (70 citations), Genetics (24 citations) and Epidemiology (34 citations). Stan Gill has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Jean‐Luc Van Laethem, Walter L. Vervenne, Jaafar Bennouna, Aijing Shang, Chris Verslype, Malcolm J. Moore, Eric Van Cutsem, Yves Humblet, Jan Cosaert and Margaret A. Foley. Their work appears in journals such as Journal of Clinical Oncology, Journal of Hepatology, Clinical Cancer Research, Regulatory Toxicology and Pharmacology and Reproductive Toxicology.
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.