Julia Chifman

2.5k citations
20 papers · 1.6k indexed · 1 hit paper · h-index 11

Impact in

Papers in

Julia Chifman

18 papers receiving 1.6k citations

Hit Papers

Quartet Inference from SNP Data Under the Coalescent Model 2014 · 847 citations
8472014202620182022250500750

Peers

Julia Chifman
Comparison fields: 5 of 110
  • Genetics 802
  • Ecological Modeling 122
  • Paleontology 192
  • Ecology, Evolution, Behavior and Systematics 427
  • Nature and Landscape Conservation 166
Replace Vincent Cahais with:
Vincent Cahais France
Mary G. Egan United States
Shaoyuan Wu China
Jonas J. Astrin Germany
Lili Yu China
Thomas A. White United Kingdom
William H. Piel United States
Carlos Anderson United States
Junfeng Pang China
Julia Chifman relative to Vincent Cahais France Vincent Cahais's profile →
Citations per field
00.5×1.5×2.4×
Vincent Cahais · 1×
Citations per year

Countries citing papers authored by Julia Chifman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Julia Chifman Line = papers co-authored together Julia Chifman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 20222
4 20223
5 202122
6 202010
7 201946
8 20190
9 20181
10 2018180
11 201720
12 20171
13 201676
14 201662
15 2015194
16
Quartet Inference from SNP Data Under the Coalescent Model
Hit paper breakdown →
2014847
17 2014118
18 20142
19 201221
20 20091

About Julia Chifman

Julia Chifman is a scholar working on Discrete Mathematics and Combinatorics, Immunology, Paleontology, Hematology and Cancer Research, having authored 20 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (5 papers), Ferroptosis and cancer prognosis (5 papers), Genetic diversity and population structure (4 papers), Trace Elements in Health (3 papers), Genomics and Phylogenetic Studies (3 papers), Iron Metabolism and Disorders (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.

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