M. Cambra

6.2k citations
166 papers · 4.5k · h-index 36

Impact in

Papers in

    • Plant Virus Research Studies 125
    • Plant Pathogenic Bacteria Studies 39
    • Phytoplasmas and Hemiptera pathogens 38
    • Insect-Plant Interactions and Control 26

M. Cambra

162 papers receiving 4.0k citations

Peers

M. Cambra
Comparison fields: 5 of 83
  • Horticulture 330
  • Endocrinology 1.0k
  • Plant Science 4.2k
  • Insect Science 1.2k
  • Biotechnology 383
Replace Scott Adkins with:
Scott Adkins United States
V. Savino Italy
Jan Kreuze Peru
G. P. Martelli Italy
Benoît Moury France
J. L. Dale Australia
D. James Canada
A.N. Adams United Kingdom
M. F. Clark United Kingdom
Drake C. Stenger United States
M. Cambra relative to Scott Adkins United States Scott Adkins's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside M. Cambra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Cambra Line = papers co-authored together M. Cambra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 166 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003221
2 2006179
3 2013165
4 1994143
5 2005106
6 2009106
7 1997105
8 2014104
9 2002103
10
Are molecular tools solving the challenges posed by detection of plant pathogenic bacteria and viruses?
2009103
11 1998100
12 198697
13 200095
14 199389
15 200088
16 200784
17 201382
18 200181
19 200972
20 200463

About M. Cambra

M. Cambra is a scholar working on Plant Science, Insect Science, Endocrinology, Molecular Biology and Epidemiology, having authored 166 papers that have together received 4.5k indexed citations. Recurring topics across this work include Plant Virus Research Studies (125 papers), Plant Pathogenic Bacteria Studies (39 papers), Phytoplasmas and Hemiptera pathogens (38 papers), Plant and Fungal Interactions Research (30 papers), Insect-Plant Interactions and Control (26 papers), Herpesvirus Infections and Treatments (17 papers), Transgenic Plants and Applications (17 papers) and Poxvirus research and outbreaks (13 papers). The work is most often cited by research in Horticulture (330 citations), Endocrinology (1.0k citations), Plant Science (4.2k citations), Insect Science (1.2k citations) and Biotechnology (383 citations). M. Cambra has collaborated with scholars based in Spain, France and Brazil. Frequent 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. Their work appears in journals such as Phytopathology, Plant Pathology, European Journal of Plant Pathology, Plant Disease and Applied and Environmental 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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