Pablo Mora

4.1k citations
45 papers · 441 · h-index 12

Impact in

    • Chromosomal and Genetic Variations
    • Plant Virus Research Studies
    • Plant Disease Resistance and Genetics

Papers in

    • Chromosomal and Genetic Variations 15
    • Plant Virus Research Studies 11
    • Plant Disease Resistance and Genetics 6
    • Insect Resistance and Genetics 13

Pablo Mora

40 papers receiving 434 citations

Peers

Pablo Mora
Comparison fields: 5 of 61
  • Plant Science 275
  • Drug Discovery 1
  • Insect Science 71
  • Genetics 129
  • Ecology, Evolution, Behavior and Systematics 76
Replace Renata da Rosa with:
Renata da Rosa Brazil
Cuong Nguyen Huu Germany
Moira J. Sheehan United States
Thomas Meagher United States
Diogo Milani Brazil
J.L. Rodrigues Brazil
M Béthenod France
Charles A. Strong United States
Efrén Estrada Spain
Pablo Mora relative to Renata da Rosa Brazil Renata da Rosa's profile →
Citations per field
00.5×10×
Renata da Rosa · 1×
Citations per year

Countries citing papers authored by Pablo Mora

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Mora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pablo Mora, 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 Pablo Mora Line = papers co-authored together Pablo Mora links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201757
2 201734
3 202230
4 202029
5 202326
6 202324
7 201724
8 202423
9 201719
10 201618
11 201616
12 201815
13 202111
14 202010
15 202310
16 20249
17 20248
18 20157
19 20237
20 20177

About Pablo Mora

Pablo Mora is a scholar working on Plant Science, Molecular Biology, Insect Science, Genetics and Ecology, Evolution, Behavior and Systematics, having authored 45 papers that have together received 441 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (15 papers), Insect Resistance and Genetics (13 papers), Plant Virus Research Studies (11 papers), Insect symbiosis and bacterial influences (8 papers), Insect and Arachnid Ecology and Behavior (7 papers), Insect-Plant Interactions and Control (6 papers), Plant Disease Resistance and Genetics (6 papers) and Coleoptera Taxonomy and Distribution (5 papers). The work is most often cited by research in Plant Science (275 citations), Drug Discovery (1 citation), Insect Science (71 citations), Genetics (129 citations) and Ecology, Evolution, Behavior and Systematics (76 citations). Pablo Mora has collaborated with scholars based in Spain, Uruguay and Brazil. Frequent co-authors include Pedro Lorite, Teresa Palomeque, Eugenia E. Montiel, Sebastián Pita, Francisco Panzera, Diogo Cavalcanti Cabral-de-Mello, Antonio Sánchez, Ángeles Cuadrado, Christopher G. Parkin and Maureen Lyden. Their work appears in journals such as Genes, Insects, International Journal of Molecular Sciences, Scientific Reports and Organisms Diversity & Evolution.

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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