Patrick Minx

63.9k citations
32 papers · 3.6k indexed · 1 hit paper · h-index 23

Patrick Minx

30 papers receiving 3.5k citations

Hit Papers

The AZFc region of the Y chromosome features massive pali...5172001202620092017100200300400500

Peers

Patrick Minx
Comparison fields: 5 of 137
  • Genetics 1.8k
  • Reproductive Medicine 357
  • Endocrinology 192
  • Plant Science 1.1k
  • Molecular Biology 2.1k
Replace Mikita Suyama with:
Mikita Suyama Japan
Yoko Satta Japan
Shuji Shigenobu Japan
Qiye Li China
Hajime Ishikawa Japan
Jack Hearn United Kingdom
Luiz Lehmann Coutinho Brazil
Bhanu P. Chowdhary United States
Kateryna D. Makova United States
Richard Talbot United Kingdom
Patrick Minx relative to Mikita Suyama Japan Mikita Suyama's profile →
Citations per field
00.5×1.5×1.9×
Mikita Suyama · 1×
Citations per year

Countries citing papers authored by Patrick Minx

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Minx

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 20230
3 201727
4 201662
5 201627
6 201621
7 2016215
8 201642
9 201129
10 201146
11 2010175
12 2010284
13 2007455
14 2005128
15 2005154
16 20038
17 2003416
18 2002137
19
The AZFc region of the Y chromosome features massive palindromes and uniform recurrent deletions in infertile menbreakdown →
2001517
20 199213

About Patrick Minx

Patrick Minx is a scholar working on Genetics, Parasitology and Plant Science, having authored 32 papers that have together received 3.6k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (12 papers), Genomics and Phylogenetic Studies (11 papers), Genomics and Chromatin Dynamics (7 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers), Genetic diversity and population structure (5 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Amphibian and Reptile Biology (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Genetics (1.8k citations), Reproductive Medicine (357 citations) and Endocrinology (192 citations). Patrick Minx has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Richard K. Wilson, Helen Skaletsky, Steve Rozen, David C. Page, R Waterston, Wesley C. Warren, Sandra W. Clifton, Janet D. Marszalek, Robert S. Fulton and Laura Brown. Their work appears in journals such as Genome Biology and Evolution, Nature, Theoretical and Applied Genetics, Genome biology and Blood.

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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