Gilbert Bigras
Impact in
- Biophysics top 5%
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in
- Oncology 13
- Cancer Cells and Metastasis 6
- Cancer Immunotherapy and Biomarkers 4
-
- Cancer Genomics and Diagnostics 7
- Breast Cancer Treatment Studies 6
- Co-authors
- Nilanjan Ray (5 shared papers)Judith Hugh (7 shared papers)Yao Xue (3 shared papers)Hua Yang (4 shared papers)Raymond Lai (8 shared papers)John R. Mackey (12 shared papers)Deepak Dinakaran (7 shared papers)Parsin Haji Reza (7 shared papers)
- Journals
- Applied immunohistochemistry & molecular morphology (5 papers)Cytometry (3 papers)Breast Cancer Research (2 papers)Oncotarget (2 papers)Scientific Reports (2 papers)
- Partner nations
- CanadaUnited StatesIndia
In The Last Decade
Gilbert Bigras
46 papers receiving 726 citations
Peers
Comparison fields: 5 of 94
- Biophysics 52
- Oncology 217
- Cancer Research 115
- Epidemiology 116
- Pulmonary and Respiratory Medicine 93
Countries citing papers authored by Gilbert Bigras
This map shows the geographic impact of Gilbert Bigras'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 Gilbert Bigras with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gilbert Bigras more than expected).
Fields of papers citing papers by Gilbert Bigras
This network shows the impact of papers produced by Gilbert Bigras. 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 Gilbert Bigras. The network helps show where Gilbert Bigras may publish in the future.
Co-authors
The 25 scholars most cited alongside Gilbert Bigras, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 105 | |
| 2 | 2005 | 61 | |
| 3 | 2016 | 50 | |
| 4 | 2018 | 43 | |
| 5 | 2019 | 41 | |
| 6 | 2018 | 30 | |
| 7 | 2003 | 29 | |
| 8 | 2019 | 29 | |
| 9 | 2014 | 27 | |
| 10 | 2013 | 26 | |
| 11 | 2017 | 24 | |
| 12 | 2018 | 22 | |
| 13 | 2015 | 22 | |
| 14 | 2011 | 20 | |
| 15 | 2021 | 20 | |
| 16 | 2019 | 16 | |
| 17 | 2014 | 15 | |
| 18 | 1996 | 15 | |
| 19 | 2011 | 13 | |
| 20 | 2020 | 13 |
About Gilbert Bigras
Gilbert Bigras is a scholar working on Oncology, Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 51 papers that have together received 744 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), Photoacoustic and Ultrasonic Imaging (7 papers), Breast Cancer Treatment Studies (6 papers), Cancer Cells and Metastasis (6 papers), AI in cancer detection (6 papers), Cell Image Analysis Techniques (5 papers), Lung Cancer Treatments and Mutations (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). The work is most often cited by research in Biophysics (52 citations), Oncology (217 citations), Cancer Research (115 citations), Epidemiology (116 citations) and Pulmonary and Respiratory Medicine (93 citations). Gilbert Bigras has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Nilanjan Ray, Judith Hugh, Yao Xue, Hua Yang, Raymond Lai, John R. Mackey, Deepak Dinakaran, Parsin Haji Reza, Lik Hang Lee and Kevan Bell. Their work appears in journals such as Applied immunohistochemistry & molecular morphology, Cytometry, Breast Cancer Research, Oncotarget and Scientific Reports.
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.