John D Liechty
Impact in
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- Genetic diversity and population structure
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
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- Species Distribution and Climate Change
Papers in
- Genetics 5
- Genetic diversity and population structure 4
- Genetic Mapping and Diversity in Plants and Animals 1
- Evolution and Genetic Dynamics 1
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- Genomics and Phylogenetic Studies 2
- Plant biochemistry and biosynthesis 1
- Co-authors
- Jill Wegrzyn (5 shared papers)Andrew J. Eckert (4 shared papers)David B. Neale (4 shared papers)Jennifer M. Lee (3 shared papers)Thomas W. Shields (1 shared paper)Barry J. Anson (1 shared paper)Barnaly Pande (2 shared papers)Konstantin V. Krutovsky (1 shared paper)
- Journals
- Genetics (2 papers)Tree Genetics & Genomes (1 paper)Evolutionary Applications (1 paper)Molecular Ecology Resources (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
John D Liechty
7 papers receiving 270 citations
Peers
Comparison fields: 5 of 41
- Genetics 139
- Ecological Modeling 21
- Nature and Landscape Conservation 47
- Ecology, Evolution, Behavior and Systematics 27
- Plant Science 51
Countries citing papers authored by John D Liechty
This map shows the geographic impact of John D Liechty'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 John D Liechty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John D Liechty more than expected).
Fields of papers citing papers by John D Liechty
This network shows the impact of papers produced by John D Liechty. 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 John D Liechty. The network helps show where John D Liechty may publish in the future.
Co-authors
The 21 scholars most cited alongside John D Liechty, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 85 | |
| 2 | Variations pertaining to the aortic arches and their branches; with comments on surgically important types. | 1957 | 52 |
| 3 | 2012 | 46 | |
| 4 | 2013 | 35 | |
| 5 | 2009 | 23 | |
| 6 | 2009 | 20 | |
| 7 | 2013 | 18 |
About John D Liechty
John D Liechty is a scholar working on Genetics, Molecular Biology, Plant Science, Nature and Landscape Conservation and Pulmonary and Respiratory Medicine, having authored 7 papers that have together received 279 indexed citations. Recurring topics across this work include Genetic diversity and population structure (4 papers), Genomics and Phylogenetic Studies (2 papers), Wheat and Barley Genetics and Pathology (1 paper), Horticultural and Viticultural Research (1 paper), Plant biochemistry and biosynthesis (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Evolution and Genetic Dynamics (1 paper) and Forest Insect Ecology and Management (1 paper). The work is most often cited by research in Genetics (139 citations), Ecological Modeling (21 citations), Nature and Landscape Conservation (47 citations), Ecology, Evolution, Behavior and Systematics (27 citations) and Plant Science (51 citations). John D Liechty has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Jill Wegrzyn, Andrew J. Eckert, David B. Neale, Jennifer M. Lee, Thomas W. Shields, Barry J. Anson, Barnaly Pande, Konstantin V. Krutovsky, K. D. Jermstad and Elena Mosca. Their work appears in journals such as Genetics, Tree Genetics & Genomes, Evolutionary Applications, Molecular Ecology Resources and Bioinformatics.
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.