M. A. Lanéelle

1.5k citations
38 papers · 1.2k indexed · h-index 21
Topics
Mycobacterium research and diagnosis (28 papers)Tuberculosis Research and Epidemiology (14 papers)Carbohydrate Chemistry and Synthesis (8 papers)
Partner nations
FranceUnited StatesSpain

In The Last Decade

M. A. Lanéelle

38 papers receiving 1.1k citations

Peers

M. A. Lanéelle
Comparison fields: 5 of 76
  • Epidemiology 846
  • Infectious Diseases 613
  • Molecular Biology 406
  • Organic Chemistry 254
  • Surgery 124
Replace Lawrence G. Wayne with:
Lawrence G. Wayne United States
Khye Seng Goh Guadeloupe
George P. Kubica United States
Hédia Marrakchi France
Werner B. Schaefer United States
M. Cuenca‐Estrella Spain
Vanessa Mathys Belgium
Pamela J. Lindholm-Levy United States
Henri Montrozier France
Philip Draper United Kingdom
M. A. Lanéelle relative to Lawrence G. Wayne United States Lawrence G. Wayne's profile →
Citations per field
00.5×1.5×2.5×
Lawrence G. Wayne · 1×
Citations per year

Countries citing papers authored by M. A. Lanéelle

Since Specialization
Citations

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

Fields of papers citing papers by M. A. Lanéelle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. A. Lanéelle. 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 M. A. Lanéelle. The network helps show where M. A. Lanéelle may publish in the future.

Co-authorship network of co-authors of M. A. Lanéelle

This figure shows the co-authorship network connecting the top 25 collaborators of M. A. Lanéelle. A scholar is included among the top collaborators of M. A. Lanéelle 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 M. A. Lanéelle. M. A. Lanéelle 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 42
2 17
3 4
4 12
5 207
6 23
7 25
8 22
9 24
10 37
11 18
12 46
13 23
14 111
15 14
16 12
17 7
18 4
19 38
20 14

About M. A. Lanéelle

M. A. Lanéelle is a scholar working on Microbiology, Infectious Diseases and Epidemiology, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (28 papers), Tuberculosis Research and Epidemiology (14 papers) and Carbohydrate Chemistry and Synthesis (8 papers). The work is most often cited by research in Infectious Diseases (613 citations), Microbiology (24 citations) and Epidemiology (846 citations). M. A. Lanéelle has collaborated with scholars based in France, United States and Spain. Frequent co-authors include Mamadou Daffé, Mamadou Daffé, C Asselineau, V. Lévy‐Frébault, F. Bardou, Gilbert Lanéelle, Anne Lemassu, Gaby Silve, J. Asselineau and Annick Ortalo-Magné. Their work appears in journals such as Biochemistry, Journal of Bacteriology and Journal of Clinical Microbiology.

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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