M. Cambra

6.1k total citations
166 papers, 4.5k citations indexed

About

M. Cambra is a scholar working on Plant Science, Insect Science and Endocrinology. According to data from OpenAlex, M. Cambra has authored 166 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 158 papers in Plant Science, 34 papers in Insect Science and 33 papers in Endocrinology. Recurrent topics in M. Cambra's work include Plant Virus Research Studies (125 papers), Plant Pathogenic Bacteria Studies (39 papers) and Phytoplasmas and Hemiptera pathogens (38 papers). M. Cambra is often cited by papers focused on Plant Virus Research Studies (125 papers), Plant Pathogenic Bacteria Studies (39 papers) and Phytoplasmas and Hemiptera pathogens (38 papers). M. Cambra collaborates with scholars based in Spain, France and Brazil. M. Cambra's co-authors include Edson Bertolini, Antonio Olmos, M.T. Gorris, Thierry Candresse, Marı́a M. López, Nieves Capote, Juan Antonio Garcı́a, G. Llácer, Pedro Moreno and A. Myrta and has published in prestigious journals such as Applied and Environmental Microbiology, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

M. Cambra

162 papers receiving 4.0k citations

Peers

M. Cambra
Comparison fields: 5 of 87
  • Plant Science 4.2k
  • Insect Science 1.2k
  • Endocrinology 1.1k
  • Molecular Biology 865
  • Biotechnology 389
Replace Elliot Watanabe Kitajima with:
Elliot Watanabe Kitajima Brazil
G. P. Martelli Italy
Jan Kreuze Peru
J. L. Dale Australia
A.N. Adams United Kingdom
M. F. Clark United Kingdom
M. Bar‐Joseph Israel
Scott Adkins United States
Vicente Pallás Spain
J. A. TOMLINSON United Kingdom
Elliot Watanabe Kitajima Brazil View profile →
Citations per field, relative to M. Cambra
M. Cambra · 1×
Citations per year, relative to M. Cambra
M. Cambra · 1×

Countries citing papers authored by M. Cambra

Since Specialization
Citations

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

Fields of papers citing papers by M. Cambra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Cambra

This figure shows the co-authorship network connecting the top 25 collaborators of M. Cambra. A scholar is included among the top collaborators of M. Cambra 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. Cambra. M. Cambra 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 2
2 4
3 4
4 2
5 1
6 23
7 4
8 7
9 45
10 10
11 2
12 71
13 27
14 23
15 219
16
Existence of two serological subclusters of Plum pox virus, strain M. European
2
17 7
18 10
19 24
20
Distinction de populations infectées avec des souches sévères et communes du virus de la Tristeza des agrumes en Espagne par ELISA-DASc (quantitative)
7

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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