Tinne Lernout

1.4k citations
53 papers · 904 indexed · h-index 18
Topics
Viral Infections and Vectors (16 papers)Vector-borne infectious diseases (14 papers)Vaccine Coverage and Hesitancy (10 papers)
Partner nations
BelgiumFranceNetherlands

In The Last Decade

Tinne Lernout

49 papers receiving 887 citations

Peers

Tinne Lernout
Comparison fields: 5 of 82
  • Epidemiology 387
  • Infectious Diseases 375
  • Parasitology 199
  • Health 199
  • Microbiology 127
Replace Piero Luigi Lai with:
Piero Luigi Lai Italy
Stephen Conaty Australia
Alenka Kraigher Slovenia
Heinz‐Josef Schmitt Germany
Jennifer C. Moïsi United States
Seyed Mohsen Zahraei Iran
Margaret A Burgess Australia
Isabelle Bonmarin France
Neus Cardeñosa Spain
Maja Sočan Slovenia
Tinne Lernout relative to Piero Luigi Lai Italy Piero Luigi Lai's profile →
Citations per field
00.5×1.6×
Piero Luigi Lai · 1×
Citations per year

Countries citing papers authored by Tinne Lernout

Since Specialization
Citations

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

Fields of papers citing papers by Tinne Lernout

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tinne Lernout

This figure shows the co-authorship network connecting the top 25 collaborators of Tinne Lernout. A scholar is included among the top collaborators of Tinne Lernout based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tinne Lernout. Tinne Lernout is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 3
4 3
5 2
6 55
7 23
8
Leptospirosis in Mayotte: contribution of epidemiological surveillance, 2008-2015.
5
9 6
10 11
11 17
12 28
13 23
14 10
15 6
16
The development of non-specific surveillance in Mayotte and Reunion Islands in the context of the epidemic of influenza A(H1N1)2009.
3
17 22
18 4
19 1
20 78

About Tinne Lernout

Tinne Lernout is a scholar working on Parasitology, Infectious Diseases and Health, having authored 53 papers that have together received 904 indexed citations. Recurring topics across this work include Viral Infections and Vectors (16 papers), Vector-borne infectious diseases (14 papers) and Vaccine Coverage and Hesitancy (10 papers). The work is most often cited by research in Parasitology (199 citations), Health (199 citations) and Microbiology (127 citations). Tinne Lernout has collaborated with scholars based in Belgium, France and Netherlands. Frequent co-authors include Pierre Van Damme, Esther Kissling, Heidi Theeten, Tessa Braeckman, Karel Hoppenbrouwers, Niel Hens, Mathieu Roelants, Katrien Tersago, Germaine Hanquet and Daisy Vanrompay. Their work appears in journals such as PLoS ONE, Journal of Clinical Microbiology and Emerging infectious diseases.

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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