Roberto Márquez

554 citations
17 papers · 311 · h-index 9

Impact in

Papers in

Roberto Márquez

14 papers receiving 307 citations

Peers

Roberto Márquez
Comparison fields: 5 of 48
  • Ecological Modeling 28
  • Infectious Diseases 73
  • Developmental Biology 8
  • Ecology, Evolution, Behavior and Systematics 62
  • Cell Biology 48
Replace John Harold Castaño with:
John Harold Castaño Colombia
Marie T. Trest United States
Laura K. Estep United States
Cheng‐Min Shi China
Elizabeth Bohuski United States
Thomas Hiller Germany
Lola Brookes United Kingdom
Eder Barbier Brazil
Norah P. Saarman United States
Luisa Garofalo Italy
Roberto Márquez relative to John Harold Castaño Colombia John Harold Castaño's profile →
Citations per field
00.5×1.5×2.5×
John Harold Castaño · 1×
Citations per year

Countries citing papers authored by Roberto Márquez

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Márquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2017117
2 202056
3 201438
4 200525
5 201815
6 202012
7 201311
8 201310
9 20139
10 20187
11 20176
12 20252
13 20232
14 20191
15 20240
16 20210
17 20250

About Roberto Márquez

Roberto Márquez is a scholar working on Global and Planetary Change, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Ecological Modeling and Nature and Landscape Conservation, having authored 17 papers that have together received 311 indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (11 papers), Species Distribution and Climate Change (4 papers), Genomics and Phylogenetic Studies (2 papers), Aquaculture disease management and microbiota (2 papers), Animal Behavior and Reproduction (2 papers), Turtle Biology and Conservation (2 papers), Genetic diversity and population structure (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Ecological Modeling (28 citations), Infectious Diseases (73 citations), Developmental Biology (8 citations), Ecology, Evolution, Behavior and Systematics (62 citations) and Cell Biology (48 citations). Roberto Márquez has collaborated with scholars based in United States, Colombia and Denmark. Frequent co-authors include David A. Turissini, Daniel R. Matute, William E. Goldman, Victoria E. Sepúlveda, Adolfo Amézquita, Sandra Smit, Rob Knight, Carlos Daniel Cadena, Cristina Yumi Miyaki and Alex E. Jahn. Their work appears in journals such as Zootaxa, Evolution, Evolutionary Ecology, Zoo Biology and Current Biology.

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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