J. Chanal

1.2k citations
31 papers · 596 · h-index 13

Impact in

  • Microbiology top 10%
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Polyomavirus and related diseases

Papers in

    • Cutaneous Melanoma Detection and Management 4
    • Cancer Immunotherapy and Biomarkers 4
    • CAR-T cell therapy research 4
    • Syphilis Diagnosis and Treatment 6

J. Chanal

27 papers receiving 589 citations

Peers

J. Chanal
Comparison fields: 5 of 64
  • Microbiology 64
  • Oncology 236
  • Immunology 183
  • Physiology 138
  • Pathology and Forensic Medicine 84
Replace Takahide Teramoto with:
Takahide Teramoto Japan
Milena Ivanova Bulgaria
Jens E. Meyer Germany
Liliana Calosso Italy
Kurt Schaudt Germany
Hui-Qing Xiao United States
Apoorva Mulay United States
Chun‐Liang Chou Taiwan
Mattias N. D. Svensson Sweden
Sushmita Chakraborty India
J. Chanal relative to Takahide Teramoto Japan Takahide Teramoto's profile →
Citations per field
00.5×
Takahide Teramoto · 1×
Citations per year

Countries citing papers authored by J. Chanal

Since Specialization
Citations

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

Fields of papers citing papers by J. Chanal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201379
2 201775
3 201372
4 201658
5 201355
6 201344
7 201838
8 201935
9 201229
10 201023
11 201621
12 202018
13 201512
14 20197
15 20166
16 20156
17 20233
18 20163
19 20242
20 20162

About J. Chanal

J. Chanal is a scholar working on Oncology, Physiology, Immunology, Surgery and Epidemiology, having authored 31 papers that have together received 596 indexed citations. Recurring topics across this work include Syphilis Diagnosis and Treatment (6 papers), Reproductive tract infections research (5 papers), Cutaneous Melanoma Detection and Management (4 papers), Genital Health and Disease (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Immune Cell Function and Interaction (4 papers), CAR-T cell therapy research (4 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Microbiology (64 citations), Oncology (236 citations), Immunology (183 citations), Physiology (138 citations) and Pathology and Forensic Medicine (84 citations). J. Chanal has collaborated with scholars based in France, Switzerland and Belgium. Frequent co-authors include Marie‐Françoise Avril, N. Dupin, N. Kramkimel, E. Maubec, Anne Caignard, Meriem Messaoudene, Giulia Fregni, Isabelle Cremer, S. Aractingi and Xavier Sastre‐Garau. Their work appears in journals such as Annals of Oncology, British Journal of Dermatology, PLoS ONE, Dermatology and Journal of the European Academy of Dermatology and Venereology.

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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