Chris Moran

2.6k citations
70 papers · 1.8k indexed · h-index 24
Topics
Genetic and phenotypic traits in livestock (22 papers)Genetic Mapping and Diversity in Plants and Animals (20 papers)Genetic diversity and population structure (18 papers)

In The Last Decade

Chris Moran

70 papers receiving 1.7k citations

Peers

Chris Moran
Comparison fields: 5 of 112
  • Genetics 881
  • Molecular Biology 615
  • Ecology 246
  • Plant Science 220
  • Ecology, Evolution, Behavior and Systematics 207
Replace Desmond W. Cooper with:
Desmond W. Cooper Australia
Hugh Tyndale-Biscoe Australia
Terri L. Roth United States
H Tichy Germany
James Kijas Australia
Victor A. David United States
Budhan S. Pukazhenthi United States
S. M. Schmutz Canada
G. B. SHARMAN Australia
Jennifer K. Frey United States
Chris Moran relative to Desmond W. Cooper Australia Desmond W. Cooper's profile →
Citations per field
00.5×1.5×
Desmond W. Cooper · 1×
Citations per year

Countries citing papers authored by Chris Moran

Since Specialization
Citations

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

Fields of papers citing papers by Chris Moran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Moran

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Moran. A scholar is included among the top collaborators of Chris Moran 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 Chris Moran. Chris Moran 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 4
2 10
3 20
4 11
5 26
6 21
7 9
8
Genetic structure of the indigenous chickens of Bhutan.
5
9 41
10 33
11 20
12
Quantitative trait loci for steady-state platelet count in mice
1
13 46
14 11
15 65
16 5
17 3
18 15
19 42
20 174

About Chris Moran

Chris Moran is a scholar working on Genetics, Animal Science and Zoology and Aquatic Science, having authored 70 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (22 papers), Genetic Mapping and Diversity in Plants and Animals (20 papers) and Genetic diversity and population structure (18 papers). The work is most often cited by research in Genetics (881 citations), Urology (133 citations) and Animal Science and Zoology (185 citations). Chris Moran has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Jaime Gongora, Sabine Fenner, Jonathan P. Stoye, John M. Coffin, Jun Heon Lee, Gavin E. Greenoak, Yizhou Chen, María Begoña Cachón-González, S Best and Sally R. Isberg. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Circulation Research.

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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