Ana María Bailey

674 citations
17 papers · 480 indexed · h-index 14
Topics
Plant Disease Resistance and Genetics (4 papers)CRISPR and Genetic Engineering (3 papers)Plant Virus Research Studies (3 papers)
Partner nations
MexicoUnited StatesKenya

In The Last Decade

Ana María Bailey

15 papers receiving 458 citations

Peers

Ana María Bailey
Comparison fields: 5 of 80
  • Plant Science 245
  • Molecular Biology 240
  • Insect Science 120
  • Pollution 62
  • Cell Biology 31
Replace Xiaofeng Su with:
Xiaofeng Su China
C.J.B. van der Vlugt-Bergmans Netherlands
Gothandapani Sellamuthu India
Abdur Rashid Khan China
Shugang Hui China
Houda Zeriouh Spain
Greg J. Bunkers United States
Muna Alariqi China
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Man‐Hong Sun China
Ana María Bailey relative to Xiaofeng Su China Xiaofeng Su's profile →
Citations per field
00.5×1.5×2.5×
Xiaofeng Su · 1×
Citations per year

Countries citing papers authored by Ana María Bailey

Since Specialization
Citations

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

Fields of papers citing papers by Ana María Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ana María Bailey. 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 Ana María Bailey. The network helps show where Ana María Bailey may publish in the future.

Co-authorship network of co-authors of Ana María Bailey

This figure shows the co-authorship network connecting the top 25 collaborators of Ana María Bailey. A scholar is included among the top collaborators of Ana María Bailey 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 Ana María Bailey. Ana María Bailey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 40
2 27
3 89
4 30
5 30
6 0
7 26
8 21
9
Detection of Additional Gene Products Induced by the Interaction Between Phytophthora capsici and its Host, Capsicum annuum, and the Identification of an Elicitin-Encoding Gene
0
10 30
11 13
12 20
13 18
14 49
15 42
16 33
17 12

About Ana María Bailey

Ana María Bailey is a scholar working on Endocrinology, Plant Science and Animal Science and Zoology, having authored 17 papers that have together received 480 indexed citations. Recurring topics across this work include Plant Disease Resistance and Genetics (4 papers), CRISPR and Genetic Engineering (3 papers) and Plant Virus Research Studies (3 papers). The work is most often cited by research in Insect Science (120 citations), Plant Science (245 citations) and Pollution (62 citations). Ana María Bailey has collaborated with scholars based in Mexico, United States and Kenya. Frequent co-authors include Luís Herrera‐Estrella, C. L. Niblett, Michael D. Coffey, Marc Ghislain, Guy Smagghe, Olivier Christiaens, Ine Pertry, Godelieve Gheysen, Guido Van den Broeck and Jae‐Young Oh. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and Scientific Reports.

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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