Létitia Jean

785 citations
25 papers · 624 · h-index 15

Impact in

Papers in

    • Protein Structure and Dynamics 4
    • Glycosylation and Glycoproteins Research 3
    • Alzheimer's disease research and treatments 11

Létitia Jean

25 papers receiving 614 citations

Peers

Létitia Jean
Comparison fields: 5 of 78
  • Parasitology 64
  • Physiology 198
  • Biomaterials 65
  • Molecular Biology 316
  • Animal Science and Zoology 43
Replace Claudia G. Benítez‐Cardoza with:
Claudia G. Benítez‐Cardoza Mexico
D.J. Leibly United States
Ankit Gupta India
Arunachalam Ramaiah United States
Shuai Nie Australia
Nikolaos Papandreou Greece
Steve Hartson United States
Alain Razaname Switzerland
Vani Xavier Oliveira Brazil
Bibo Li United States
Létitia Jean relative to Claudia G. Benítez‐Cardoza Mexico Claudia G. Benítez‐Cardoza's profile →
Citations per field
00.5×3.9×
Claudia G. Benítez‐Cardoza · 1×
Citations per year

Countries citing papers authored by Létitia Jean

Since Specialization
Citations

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

Fields of papers citing papers by Létitia Jean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201271
2 202067
3 201263
4 200462
5 200947
6 200341
7 201632
8 200032
9 200724
10 200922
11 201921
12 200119
13 200118
14 200517
15 201315
16 198314
17 200813
18 201711
19
Chloromycetin as a treatment for yaws and tropical ulcer.
195111
20 20227

About Létitia Jean

Létitia Jean is a scholar working on Molecular Biology, Physiology, Food Science, Public Health, Environmental and Occupational Health and Biomaterials, having authored 25 papers that have together received 624 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (11 papers), Proteins in Food Systems (6 papers), Malaria Research and Control (5 papers), Protein Structure and Dynamics (4 papers), Glycosylation and Glycoproteins Research (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Coccidia and coccidiosis research (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Parasitology (64 citations), Physiology (198 citations), Biomaterials (65 citations), Molecular Biology (316 citations) and Animal Science and Zoology (43 citations). Létitia Jean has collaborated with scholars based in United Kingdom, Czechia and United States. Frequent co-authors include David J. Vaux, Chiu Fan Lee, Michael J. Blackman, Michael Shaw, Chrislaine Withers‐Martinez, Fiona Hackett, Sarah Bird, Fiona M. Tomley, P. Péry and Stephen R. Martin. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, Scientific Reports, PLoS ONE and Gene.

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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