Caroline Pons

525 citations
12 papers · 259 · h-index 8

Impact in

  • Cell Biology top 10%
    • melanin and skin pigmentation
    • Atherosclerosis and Cardiovascular Diseases
    • T-cell and B-cell Immunology

Papers in

    • Hepatitis B Virus Studies 6
    • Hepatitis C virus research 6
    • Hepatitis Viruses Studies and Epidemiology 2

Caroline Pons

12 papers receiving 254 citations

Peers

Caroline Pons
Comparison fields: 5 of 53
  • Cell Biology 110
  • Immunology 88
  • Hepatology 33
  • Dermatology 29
  • Plant Science 74
Replace Takayoshi Tanaka with:
Takayoshi Tanaka Japan
Zhuangzhuang Liu China
Dan Du China
Michele S. Wiseman United States
Hsueh-Han Lu Taiwan
Katharina Mueller Germany
Asjad Basheer United States
Kanokporn Chayaburakul Thailand
Abhijeet Kulkarni India
Caroline Pons relative to Takayoshi Tanaka Japan Takayoshi Tanaka's profile →
Citations per field
00.5×5.8×
Takayoshi Tanaka · 1×
Citations per year

Countries citing papers authored by Caroline Pons

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Pons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2019123
2 202040
3 202023
4 202120
5
Loss of hepatitis D virus infectivity upon farnesyl transferase inhibitor treatment associates with increasing RNA editing rates revealed by a new RT-ddPCR method
202212
6 20229
7 20179
8 20217
9 20227
10 20225
11 20223
12 20251

About Caroline Pons

Caroline Pons is a scholar working on Epidemiology, Hepatology, Plant Science, Infectious Diseases and Ecology, Evolution, Behavior and Systematics, having authored 12 papers that have together received 259 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (6 papers), Hepatitis C virus research (6 papers), Mycorrhizal Fungi and Plant Interactions (2 papers), Plant Parasitism and Resistance (2 papers), Hepatitis Viruses Studies and Epidemiology (2 papers), Atherosclerosis and Cardiovascular Diseases (1 paper), Plant and animal studies (1 paper) and Plant Stress Responses and Tolerance (1 paper). The work is most often cited by research in Cell Biology (110 citations), Immunology (88 citations), Hepatology (33 citations), Dermatology (29 citations) and Plant Science (74 citations). Caroline Pons has collaborated with scholars based in France, Germany and Belgium. Frequent co-authors include Caroline Müller, Rabea Schweiger, Meri K. Tulić, Guillaume E. Béranger, Maéva Gesson, Nathalie Cardot‐Leccia, Claire Regazzetti, Carmelo Luci, Patricia Abbe and Arnaud Jacquel. Their work appears in journals such as JHEP Reports, Antiviral Research, Scientific Reports, Nature Communications and Ecology and Evolution.

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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