Jean-Marc Lacape

2.5k citations
33 papers · 1.3k indexed · h-index 15
Topics
Research in Cotton Cultivation (27 papers)Plant Virus Research Studies (12 papers)Plant and Fungal Interactions Research (9 papers)
Partner nations
FranceAustraliaBelgium

In The Last Decade

Jean-Marc Lacape

32 papers receiving 1.2k citations

Peers

Jean-Marc Lacape
Comparison fields: 5 of 52
  • Plant Science 1.2k
  • Endocrinology 472
  • Molecular Biology 82
  • Genetics 72
  • Soil Science 43
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Jean-Marc Lacape relative to P. M. Thaxton United States P. M. Thaxton's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jean-Marc Lacape

Since Specialization
Citations

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

Fields of papers citing papers by Jean-Marc Lacape

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean-Marc Lacape

This figure shows the co-authorship network connecting the top 25 collaborators of Jean-Marc Lacape. A scholar is included among the top collaborators of Jean-Marc Lacape 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-Marc Lacape. Jean-Marc Lacape 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 8
2 6
3 62
4
Crop Breeding: Renewing the Global Commitment
1
5 84
6 31
7 14
8 2
9 11
10 111
11 81
12 15
13
International genetic, cytogenetic and germplasm resources for cotton genomics and genetic improvement
1
14 115
15 39
16 179
17
Molecular markers for DNA-fingerprinting in cotton
3
18 190
19 21
20
Les cotonniers primitifs G. hirsutum race yucatanense de la Pointe des Châteaux en Guadeloupe et l'origine possible des cotonniers tétraploïdes du Nouveau Monde
3

About Jean-Marc Lacape

Jean-Marc Lacape is a scholar working on Endocrinology, Plant Science and Soil Science, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Research in Cotton Cultivation (27 papers), Plant Virus Research Studies (12 papers) and Plant and Fungal Interactions Research (9 papers). The work is most often cited by research in Endocrinology (472 citations), Plant Science (1.2k citations) and Horticulture (19 citations). Jean-Marc Lacape has collaborated with scholars based in France, Australia and Belgium. Frequent co-authors include Marc Giband, Brigitte Courtois, A.M. Risterucci, Philippe Brottier, Géo Coppens D'Eeckenbrugge, Danny Llewellyn, B. Hau, R. G. Cantrell, Sandra Thibivilliers and B Burr. Their work appears in journals such as PLoS ONE, Theoretical and Applied Genetics and Field Crops Research.

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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