M. Ponsà

1.3k citations
54 papers · 1.0k · h-index 20

Impact in

Papers in

    • Chromosomal and Genetic Variations 34
    • Genetic diversity and population structure 12
    • Genomic variations and chromosomal abnormalities 9
    • Genetic Mapping and Diversity in Plants and Animals 7

M. Ponsà

53 papers receiving 989 citations

Peers

M. Ponsà
Comparison fields: 5 of 64
  • Genetics 500
  • Reproductive Medicine 111
  • Plant Science 524
  • Public Health, Environmental and Occupational Health 202
  • Molecular Biology 488
Replace Mónica Bullejos with:
Mónica Bullejos Spain
Paul B. Vrana United States
David Rosenkranz Germany
Halina Černohorská Czechia
Phil Grayson United States
L. E. Mettler United States
Beth L. Dumont United States
Margarete S. Mattevi Brazil
P.G. Johnston Australia
Marta Svartman Brazil
M. Ponsà relative to Mónica Bullejos Spain Mónica Bullejos's profile →
Citations per field
00.5×1.5×
Mónica Bullejos · 1×
Citations per year

Countries citing papers authored by M. Ponsà

Since Specialization
Citations

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

Fields of papers citing papers by M. Ponsà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002167
2 200262
3 200459
4 200444
5 200242
6 201141
7 200737
8 199733
9 200232
10 200032
11 198731
12 200431
13 200630
14 200428
15 200023
16 198523
17 198722
18 198321
19 200021
20 199520

About M. Ponsà

M. Ponsà is a scholar working on Plant Science, Genetics, Molecular Biology, Public Health, Environmental and Occupational Health and Social Psychology, having authored 54 papers that have together received 1.0k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (34 papers), Genetic diversity and population structure (12 papers), Genomic variations and chromosomal abnormalities (9 papers), Primate Behavior and Ecology (8 papers), Reproductive Biology and Fertility (8 papers), Genomics and Chromatin Dynamics (7 papers), Genomics and Phylogenetic Studies (7 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). The work is most often cited by research in Genetics (500 citations), Reproductive Medicine (111 citations), Plant Science (524 citations), Public Health, Environmental and Occupational Health (202 citations) and Molecular Biology (488 citations). M. Ponsà has collaborated with scholars based in Spain, Italy and Argentina. Frequent co-authors include M. Garcı́a, J. Egozcue, Aurora Ruiz‐Herrera, F. García, J. Egozcue, Josep Santaló, Pere N. Barri, Anna Veiga, Irene Boiso and Mercé Martí. Their work appears in journals such as American Journal of Primatology, Chromosome Research, Biological Journal of the Linnean Society, International Journal of Primatology and Genetica.

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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