S. Paris

2.2k citations
28 papers · 1.5k · h-index 18

Impact in

Papers in

S. Paris

27 papers receiving 1.4k citations

Peers

S. Paris
Comparison fields: 5 of 108
  • Genetics 434
  • Infectious Diseases 543
  • Cancer Research 201
  • Epidemiology 408
  • Biotechnology 93
Replace Sophie Paris with:
Sophie Paris France
Andreas Lengeling Germany
Mercedes Pardo United Kingdom
Yoshio Yamakawa Japan
William Markland United States
Lloyd W. Law United States
André Catic United States
Bénédicte Manoury France
R Kurzbauer Austria
Véronique Le Cabec France
S. Paris relative to Sophie Paris France Sophie Paris's profile →
Citations per field
00.5×1.5×
Sophie Paris · 1×
Citations per year

Countries citing papers authored by S. Paris

Since Specialization
Citations

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

Fields of papers citing papers by S. Paris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010402
2 1994175
3 1997117
4 1993116
5 1997106
6
Molecular diagnosis and epidemiology of fungal infections.
1998105
7 200456
8 199945
9 200941
10 199338
11 199035
12 199335
13 199730
14
Cell wall antigens in Aspergillus fumigatus.
199327
15 199124
16 199023
17 200821
18
Molecular mechanisms of virulence in fungus-host interactions for Aspergillus fumigatus and Candida albicans.
199818
19 199917
20 200116

About S. Paris

S. Paris is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Plant Science and Genetics, having authored 28 papers that have together received 1.5k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (9 papers), Fungal Infections and Studies (6 papers), Mycotoxins in Agriculture and Food (5 papers), Glioma Diagnosis and Treatment (4 papers), Nail Diseases and Treatments (3 papers), Fungal and yeast genetics research (3 papers), Contact Dermatitis and Allergies (2 papers) and Allergic Rhinitis and Sensitization (2 papers). The work is most often cited by research in Genetics (434 citations), Infectious Diseases (543 citations), Cancer Research (201 citations), Epidemiology (408 citations) and Biotechnology (93 citations). S. Paris has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Jean‐Paul Latgé, Michel Monod, Khê Hoang‐Xuan, Marc Sanson, Karima Mokhtari, J.‐Y. Delattre, Florence Laigle–Donadey, Ahmed Idbaïh, Blandine Boisselier and Rémy Guillevin. Their work appears in journals such as Infection and Immunity, Mycopathologia, Neurology, Medical Mycology and Neuropathology and Applied Neurobiology.

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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