Florence Martin

1.2k total citations
23 papers, 922 citations indexed

About

Florence Martin is a scholar working on Molecular Biology, Plant Science and Pollution. According to data from OpenAlex, Florence Martin has authored 23 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Plant Science and 4 papers in Pollution. Recurrent topics in Florence Martin's work include Plant tissue culture and regeneration (8 papers), Microbial Community Ecology and Physiology (4 papers) and Platelet Disorders and Treatments (4 papers). Florence Martin is often cited by papers focused on Plant tissue culture and regeneration (8 papers), Microbial Community Ecology and Physiology (4 papers) and Platelet Disorders and Treatments (4 papers). Florence Martin collaborates with scholars based in France, United States and Indonesia. Florence Martin's co-authors include Georges Uzan, M.H. Prandini, G Marguerie, Pascal Montoro, Dominique Thevenon, Yves Jouanneau, Julie Leclercq, Ludovic Lardet, G. C. Oliver and M Prenant and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Applied and Environmental Microbiology.

In The Last Decade

Florence Martin

22 papers receiving 899 citations

Peers

Florence Martin
Comparison fields: 5 of 82
  • Molecular Biology 490
  • Plant Science 275
  • Hematology 211
  • Pollution 206
  • Ecology 121
Replace Dean Li with:
Dean Li China
Xiu Fen Liu United States
Xinhua Gu China
James P. Murphy United States
B.-S. Koo South Korea
Hubo Li China
D.D.K. Prasad India
Giovanni Cercignani Italy
Yujuan Yang China
Bingbing Jia China
Dean Li China View profile →
Citations per field, relative to Florence Martin
Florence Martin · 1×
Citations per year, relative to Florence Martin
Florence Martin · 1×

Countries citing papers authored by Florence Martin

Since Specialization
Citations

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

Fields of papers citing papers by Florence Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florence Martin

This figure shows the co-authorship network connecting the top 25 collaborators of Florence Martin. A scholar is included among the top collaborators of Florence Martin 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 Florence Martin. Florence Martin 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
# Work Indexed citations
1 36
2 12
3 44
4 2
5 34
6 34
7 42
8 46
9 140
10 11
11
Development of new varietal types based on rejuvenation by somatic embryogenesis and propagation by conventional budding or microcuttings in Hevea brasiliensis
1
12 46
13 34
14 51
15 7
16 57
17 62
18 61
19 93
20
Intérêt des plants sains d'artichaut régénérés par la culture «in vitro»
1

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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