D Bergeron

1.3k citations
26 papers · 1.1k · h-index 15

Impact in

Papers in

D Bergeron

24 papers receiving 1.1k citations

Peers

D Bergeron
Comparison fields: 5 of 96
  • Virology 170
  • Endocrinology 132
  • Parasitology 67
  • Genetics 279
  • Infectious Diseases 127
Replace Martine Papiernik with:
Martine Papiernik France
Maurine R. Hobbs United States
Sally T. Ishizaka United States
Gundula Notheis Germany
Gundula Min‐Oo Canada
Lisa S. Hancox United States
Devon Livingston‐Rosanoff United States
L Bersani Italy
Joby Cole United Kingdom
Midori Kobayashi Japan
D Bergeron relative to Martine Papiernik France Martine Papiernik's profile →
Citations per field
00.5×9.4×
Martine Papiernik · 1×
Citations per year

Countries citing papers authored by D Bergeron

Since Specialization
Citations

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

Fields of papers citing papers by D Bergeron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside D Bergeron, 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 D Bergeron Line = papers co-authored together D Bergeron links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001233
2 1995168
3 1993141
4 2001101
5 198769
6 200666
7 199763
8 198858
9 199139
10 198437
11 199425
12 198321
13 200320
14
Experimental bias in the evaluation of the cellular transient expression in DNA co-transfection experiments.
199520
15 198916
16 199610
17 199210
18
High resolution CT scan of the temporal bone.
19836
19 19884
20
Computerized arthrotomography in recurring shoulder dislocations and subluxations.
19844

About D Bergeron

D Bergeron is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Genetics, Epidemiology and Surgery, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Occupational and environmental lung diseases (5 papers), RNA Interference and Gene Delivery (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Legionella and Acanthamoeba research (2 papers), Cancer Mechanisms and Therapy (2 papers), Estrogen and related hormone effects (2 papers), Yersinia bacterium, plague, ectoparasites research (2 papers) and Shoulder Injury and Treatment (2 papers). The work is most often cited by research in Virology (170 citations), Endocrinology (132 citations), Parasitology (67 citations), Genetics (279 citations) and Infectious Diseases (127 citations). D Bergeron has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Gilles B. Tremblay, Vincent Giguère, Thomas R. Fritsche, R. Bégin, André M. Cantin, Romesh Gautom, Janet Rossant, Line Lapointe, Tilo Kunath and Xiaojian Yao. Their work appears in journals such as Journal of Virology, Journal of Clinical Microbiology, Current topics in microbiology and immunology, Cell Death and Differentiation and CHEST Journal.

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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