Emmanuel Wey

675 citations
24 papers · 363 · h-index 10

Impact in

Papers in

    • Pneumocystis jirovecii pneumonia detection and treatment 4
    • Pneumonia and Respiratory Infections 4
    • Liver Disease Diagnosis and Treatment 2
    • Tuberculosis Research and Epidemiology 2

Emmanuel Wey

22 papers receiving 352 citations

Peers

Emmanuel Wey
Comparison fields: 5 of 72
  • Applied Microbiology and Biotechnology 50
  • Hepatology 97
  • Molecular Medicine 54
  • Clinical Biochemistry 32
  • Epidemiology 157
Replace Lynora Saxinger with:
Lynora Saxinger Canada
Mary L. Townsend United States
Olukemi Adekanmbi Nigeria
Wanchai Sattayawuthipong Thailand
Chiara Montaldo Italy
Tewodros Tesfa Ethiopia
Judith A. Anesi United States
Nour Shbaklo Italy
Lou Ann Bruno‐Murtha United States
Nicholas Geremia Italy
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Citations per field
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Citations per year

Countries citing papers authored by Emmanuel Wey

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuel Wey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202193
2 200970
3 201638
4 202131
5 202029
6 201523
7 202220
8 201814
9 201713
10 20219
11 20223
12 20043
13 20183
14 20232
15 20232
16 20232
17 20212
18 20181
19 20251
20 20201

About Emmanuel Wey

Emmanuel Wey is a scholar working on Epidemiology, Infectious Diseases, Molecular Medicine, Clinical Biochemistry and Endocrinology, having authored 24 papers that have together received 363 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (6 papers), Bacterial Identification and Susceptibility Testing (5 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), Pneumonia and Respiratory Infections (4 papers), Tuberculosis Research and Epidemiology (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Vibrio bacteria research studies (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (50 citations), Hepatology (97 citations), Molecular Medicine (54 citations), Clinical Biochemistry (32 citations) and Epidemiology (157 citations). Emmanuel Wey has collaborated with scholars based in United Kingdom, Canada and Spain. Frequent co-authors include Salvatore Piano, Javier Fernández, Michele Bartoletti, Ann Lorek, Kimberly A. Ehntholt, Indran Balakrishnan, Rebecca Gorton, Timothy D. McHugh, Damien Mack and Omar Belgacem. Their work appears in journals such as Journal of Hepatology, Journal of Medical Microbiology, Journal of Antimicrobial Chemotherapy, Clinical Infectious Diseases and International Journal of STD & AIDS.

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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