Patrick Baril

1.8k citations
39 papers · 1.4k · h-index 21

Impact in

    • MicroRNA in disease regulation
    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research
    • Peptidase Inhibition and Analysis

Papers in

    • RNA Interference and Gene Delivery 10
    • Advanced biosensing and bioanalysis techniques 6
    • RNA Research and Splicing 3
    • MicroRNA in disease regulation 9

Patrick Baril

39 papers receiving 1.4k citations

Peers

Patrick Baril
Comparison fields: 5 of 105
  • Cancer Research 310
  • Oncology 276
  • Molecular Biology 648
  • Immunology and Allergy 51
  • Biotechnology 80
Replace Hong Yao with:
Hong Yao China
Yuping Yang China
Robin C. Muise‐Helmericks United States
Carolyn S. Van Pelt United States
Weidong Jiang China
Xing Qin China
Yingmiao Liu United States
Hailiang Hu China
Thomas L. Sims United States
Yichao Lu China
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Citations per field
00.5×3.8×
Hong Yao · 1×
Citations per year

Countries citing papers authored by Patrick Baril

Since Specialization
Citations

This map shows the geographic impact of Patrick Baril'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 Patrick Baril with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Baril more than expected).

Fields of papers citing papers by Patrick Baril

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick Baril. 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 Patrick Baril. The network helps show where Patrick Baril may publish in the future.

Co-authors

The 25 scholars most cited alongside Patrick Baril, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Patrick Baril Line = papers co-authored together Patrick Baril links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006249
2 2007112
3 200797
4 200593
5 201577
6 201859
7 200957
8 200956
9 200947
10 201545
11 200737
12 201635
13 202034
14 201030
15 201326
16 201626
17 201925
18 202123
19 201622
20 201421

About Patrick Baril

Patrick Baril is a scholar working on Molecular Biology, Cancer Research, Genetics, Oncology and Biotechnology, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (10 papers), MicroRNA in disease regulation (9 papers), Advanced biosensing and bioanalysis techniques (6 papers), Virus-based gene therapy research (5 papers), RNA Research and Splicing (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Insect and Pesticide Research (2 papers). The work is most often cited by research in Cancer Research (310 citations), Oncology (276 citations), Molecular Biology (648 citations), Immunology and Allergy (51 citations) and Biotechnology (80 citations). Patrick Baril has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Nicholas R. Lemoine, Chantal Pichon, Patrick C. Mahon, Georges Vassaux, Vipul Bhakta, Claude Chelala, Pilar Martín‐Duque, Rathi Gangeswaran, Tatjana Crnogorac‐Jurcevic and Hemant M. Kocher. Their work appears in journals such as Cancer Research, Oncogene, Current Neuropharmacology, Cells and Nucleic Acids Research.

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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