Mario dos Reis

8.0k citations
52 papers · 4.9k indexed · 3 hit papers · h-index 33
Topics
Genomics and Phylogenetic Studies (30 papers)Evolution and Paleontology Studies (22 papers)Genetic diversity and population structure (21 papers)

In The Last Decade

Mario dos Reis

51 papers receiving 4.9k citations

Hit Papers

Solving the riddle of codon usage preferences: a test for...2004202620112018200420152019100200300400500

Peers

Mario dos Reis
Comparison fields: 5 of 134
  • Molecular Biology 2.7k
  • Genetics 1.6k
  • Paleontology 1.2k
  • Ecology, Evolution, Behavior and Systematics 1.1k
  • Ecology 686
Replace Michael M. Miyamoto with:
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Axel Janke Germany
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Mario dos Reis relative to Michael M. Miyamoto United States Michael M. Miyamoto's profile →
Citations per field
00.5×7.6×
Michael M. Miyamoto · 1×
Citations per year

Countries citing papers authored by Mario dos Reis

Since Specialization
Citations

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

Fields of papers citing papers by Mario dos Reis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario dos Reis. 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 Mario dos Reis. The network helps show where Mario dos Reis may publish in the future.

Co-authorship network of co-authors of Mario dos Reis

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 9
2 10
3 39
4 25
5
Phylogenomics reveals the evolutionary timing and pattern of butterflies and mothsbreakdown →
284
6 27
7 27
8 9
9 197
10 67
11 114
12 8
13 24
14 90
15 261
16 29
17 56
18 32
19 161
20 185

About Mario dos Reis

Mario dos Reis is a scholar working on Paleontology, Genetics and Molecular Biology, having authored 52 papers that have together received 4.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (30 papers), Evolution and Paleontology Studies (22 papers) and Genetic diversity and population structure (21 papers). The work is most often cited by research in Paleontology (1.2k citations), Genetics (1.6k citations) and Ecology, Evolution, Behavior and Systematics (1.1k citations). Mario dos Reis has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Ziheng Yang, Philip C. J. Donoghue, Zu-Xing Yang, Konstantinos Angelis, Asif U. Tamuri, Robert J. Asher, Richard A. Goldstein, Masami Hasegawa, Jun Inoue and Jose Barba‐Montoya. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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