Pablo Mora

577 citations
47 papers · 446 · h-index 12

Impact in

Papers in

Pablo Mora

43 papers receiving 442 citations

Peers

Pablo Mora
Comparison fields: 5 of 18
  • Plant Science 360
  • Ecology, Evolution, Behavior and Systematics 44
  • Genetics 57
  • Insect Science 10
  • Epidemiology 29
Replace Éberson Sanches Calvo with:
Éberson Sanches Calvo Brazil
Vanessa Bellini Bardella Brazil
Orlene Guerra‐Peraza United States
G‐H. Bai United States
Patrick Gognalons France
D. Fargette France
HUW MARTIN THOMAS United Kingdom
Jinnan Hu United States
Xuefeng Wang China
Guanghe Zhou China
Pablo Mora relative to Éberson Sanches Calvo Brazil Éberson Sanches Calvo's profile →
Citations per field
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Éberson Sanches Calvo · 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 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201763
2 202030
3 202229
4 202329
5 201727
6 202327
7 202425
8 201723
9 201619
10 201816
11 202314
12 202414
13 202112
14 202011
15 20239
16 20249
17 20157
18 20157
19 20227
20 20237

About Pablo Mora

Pablo Mora is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics, Genetics, Epidemiology and Gastroenterology, having authored 47 papers that have together received 446 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (35 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), Diptera species taxonomy and behavior (3 papers), Insect and Arachnid Ecology and Behavior (3 papers), Trypanosoma species research and implications (3 papers), Genomics and Phylogenetic Studies (2 papers), Hymenoptera taxonomy and phylogeny (2 papers) and Celiac Disease Research and Management (1 paper). The work is most often cited by research in Plant Science (360 citations), Ecology, Evolution, Behavior and Systematics (44 citations), Genetics (57 citations), Insect Science (10 citations) and Epidemiology (29 citations). Pablo Mora has collaborated with scholars based in Spain, Brazil and Uruguay. Frequent co-authors include Pedro Lorite, Teresa Palomeque, Sebastián Pita, Eugenia E. Montiel, Francisco Panzera, Diogo Cavalcanti Cabral-de-Mello, Antonio Sánchez, Ángeles Cuadrado, Marı́a Isabel Torres and Petr Nguyen. Their work appears in journals such as Genes, Insects, International Journal of Molecular Sciences, Molecular Ecology and Genome.

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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