Julia Chifman
Impact in
- Genetics top 2%
- Genetic diversity and population structure
- Ecological Modeling top 5%
- Species Distribution and Climate Change
Papers in
-
- Genomics and Phylogenetic Studies 3
- Oncology 7
- Cancer Immunotherapy and Biomarkers 5
- Co-authors
- Laura Kubatko (6 shared papers)Andrea D. Wolfe (1 shared paper)Paul D. Blischak (1 shared paper)Suzy V. Torti (4 shared papers)Reinhard Laubenbacher (5 shared papers)Lance D. Miller (7 shared papers)Ashok Pullikuth (7 shared papers)Davide Bedognetti (4 shared papers)
- Journals
- Journal of Theoretical Biology (3 papers)Cancer Research (3 papers)PLoS Computational Biology (2 papers)Bioinformatics (2 papers)Journal of Translational Medicine (1 paper)
- Partner nations
- United StatesNew ZealandQatar
In The Last Decade
Julia Chifman
18 papers receiving 1.6k citations
Julia Chifman's Hit Papers
Peers
Comparison fields: 5 of 110
- Genetics 802
- Ecological Modeling 122
- Paleontology 192
- Ecology, Evolution, Behavior and Systematics 427
- Nature and Landscape Conservation 166
Countries citing papers authored by Julia Chifman
This map shows the geographic impact of Julia Chifman'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 Julia Chifman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Chifman more than expected).
Fields of papers citing papers by Julia Chifman
This network shows the impact of papers produced by Julia Chifman. 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 Julia Chifman. The network helps show where Julia Chifman may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Chifman, 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 | Quartet Inference from SNP Data Under the Coalescent Model Hit paper breakdown → | 2014 | 847 |
| 2 | 2015 | 194 | |
| 3 | 2018 | 180 | |
| 4 | 2014 | 118 | |
| 5 | 2016 | 76 | |
| 6 | 2016 | 62 | |
| 7 | 2019 | 46 | |
| 8 | 2021 | 22 | |
| 9 | 2012 | 21 | |
| 10 | 2017 | 20 | |
| 11 | 2020 | 10 | |
| 12 | 2022 | 3 | |
| 13 | 2022 | 2 | |
| 14 | 2014 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2018 | 1 | |
| 18 | 2009 | 1 | |
| 19 | 2017 | 1 | |
| 20 | 2019 | 0 |
About Julia Chifman
Julia Chifman is a scholar working on Molecular Biology, Oncology, Genetics, Immunology and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Genetic diversity and population structure (4 papers), Genomics and Phylogenetic Studies (3 papers), Iron Metabolism and Disorders (3 papers), Trace Elements in Health (3 papers), Cancer Genomics and Diagnostics (3 papers) and Inflammation biomarkers and pathways (2 papers). The work is most often cited by research in Genetics (802 citations), Ecological Modeling (122 citations), Paleontology (192 citations), Ecology, Evolution, Behavior and Systematics (427 citations) and Nature and Landscape Conservation (166 citations). Julia Chifman has collaborated with scholars based in United States, New Zealand and Qatar. Frequent co-authors include Laura Kubatko, Andrea D. Wolfe, Paul D. Blischak, Suzy V. Torti, Reinhard Laubenbacher, Lance D. Miller, Ashok Pullikuth, Davide Bedognetti, Jeff W. Chou and Cristin G. Print. Their work appears in journals such as Journal of Theoretical Biology, Cancer Research, PLoS Computational Biology, Bioinformatics and Journal of Translational Medicine.
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.