Gilbert Bigras

1.5k citations
49 papers · 665 indexed · h-index 16
Topics
Cancer Genomics and Diagnostics (10 papers)AI in cancer detection (7 papers)Photoacoustic and Ultrasonic Imaging (7 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaPLoS ONE
Partner nations
CanadaUnited StatesIndia

In The Last Decade

Gilbert Bigras

44 papers receiving 649 citations

Peers

Gilbert Bigras
Comparison fields: 5 of 85
  • Oncology 279
  • Molecular Biology 176
  • Pulmonary and Respiratory Medicine 157
  • Cancer Research 150
  • Epidemiology 122
Replace Barbara T. Grünwald with:
Barbara T. Grünwald Germany
Benjamin A. Wood Australia
Fangmeng Fu China
Francesca M. Bosisio Belgium
Sami Blom Finland
Dong Soon Lee South Korea
Lu Pan China
Daniele Moglia Italy
Robyn D. Gartrell United States
Zipei Feng United States
Gilbert Bigras relative to Barbara T. Grünwald Germany Barbara T. Grünwald's profile →
Citations per field
00.5×1.5×2.1×
Barbara T. Grünwald · 1×
Citations per year

Countries citing papers authored by Gilbert Bigras

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Gilbert Bigras

This figure shows the co-authorship network connecting the top 25 collaborators of Gilbert Bigras. A scholar is included among the top collaborators of Gilbert Bigras based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gilbert Bigras. Gilbert Bigras is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 4
4 3
5 1
6 2
7 3
8 18
9 13
10 102
11 42
12 13
13 4
14 5
15 14
16 26
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18 59
19 28
20 15

About Gilbert Bigras

Gilbert Bigras is a scholar working on Cancer Research, Biophysics and Oncology, having authored 49 papers that have together received 665 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (10 papers), AI in cancer detection (7 papers) and Photoacoustic and Ultrasonic Imaging (7 papers). The work is most often cited by research in Oncology (279 citations), Cancer Research (150 citations) and Biophysics (40 citations). Gilbert Bigras has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Raymond Lai, Hua Yang, John R. Mackey, Deepak Dinakaran, Parsin Haji Reza, Kevan Bell, Judith Hugh, Yao Xue, Thomas Burke and Patrick Micke. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

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.

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