Jean‐Luc Berland

1.3k citations
19 papers · 829 indexed · 1 hit paper · h-index 10
Topics
Tuberculosis Research and Epidemiology (12 papers)Mycobacterium research and diagnosis (11 papers)Infectious Diseases and Tuberculosis (4 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEHepatology
Partner nations
FranceHaitiLaos

In The Last Decade

Jean‐Luc Berland

18 papers receiving 810 citations

Hit Papers

Characterization of Low- and Very-Low-Density Hepatitis C...20022026201020182002100200300400500

Peers

Jean‐Luc Berland
Comparison fields: 5 of 53
  • Hepatology 585
  • Epidemiology 578
  • Infectious Diseases 178
  • Rheumatology 154
  • Radiology, Nuclear Medicine and Imaging 109
Replace Marie–Sophie Hiet with:
Marie–Sophie Hiet Germany
Christiane Brohm Germany
M. Duhamel Belgium
Juan Antonio Quiroga Spain
D C Wong United States
Caroline Scholtès France
Sukanya Raghuraman India
Carmen Gallegos Spain
Élodie Beaumont France
Benno Grabscheid Switzerland
Jean‐Luc Berland relative to Marie–Sophie Hiet Germany Marie–Sophie Hiet's profile →
Citations per field
00.5×2.7×
Marie–Sophie Hiet · 1×
Citations per year

Countries citing papers authored by Jean‐Luc Berland

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Luc Berland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean‐Luc Berland

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Luc Berland. A scholar is included among the top collaborators of Jean‐Luc Berland 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 Jean‐Luc Berland. Jean‐Luc Berland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 8
3 1
4 6
5 38
6 3
7 7
8 18
9 2
10 5
11 18
12 9
13 20
14 6
15 27
16 29
17 49
18 53
19
Characterization of Low- and Very-Low-Density Hepatitis C Virus RNA-Containing Particlesbreakdown →
530

About Jean‐Luc Berland

Jean‐Luc Berland is a scholar working on Infectious Diseases, Hepatology and Epidemiology, having authored 19 papers that have together received 829 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (12 papers), Mycobacterium research and diagnosis (11 papers) and Infectious Diseases and Tuberculosis (4 papers). The work is most often cited by research in Hepatology (585 citations), Epidemiology (578 citations) and Rheumatology (154 citations). Jean‐Luc Berland has collaborated with scholars based in France, Haiti and Laos. Frequent co-authors include Gláucia Paranhos‐Baccalà, Magali Perret, Florence Komurian-Pradel, Stanislas Pol, C Bréchot, Vincent Lotteau, Séverine Deforges, Patrice André, Alain Rajoharison and Francesco Negro. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Hepatology.

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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