Abigail Xie

684 total citations
3 papers, 244 citations indexed

About

Abigail Xie is a scholar working on Molecular Biology, Hematology and Epidemiology. According to data from OpenAlex, Abigail Xie has authored 3 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Hematology and 1 paper in Epidemiology. Recurrent topics in Abigail Xie's work include Acute Myeloid Leukemia Research (2 papers), Protein Degradation and Inhibitors (2 papers) and Autophagy in Disease and Therapy (1 paper). Abigail Xie is often cited by papers focused on Acute Myeloid Leukemia Research (2 papers), Protein Degradation and Inhibitors (2 papers) and Autophagy in Disease and Therapy (1 paper). Abigail Xie collaborates with scholars based in United States, Brazil and France. Abigail Xie's co-authors include Kevin Lin, Kris C. Wood, Peter Winter, Grace R. Anderson, Colin A. Martz, Elizabeth M. Stein, Cullen Roth, Lucie Ahn, Justine C. Rutter and Ryan S. Soderquist and has published in prestigious journals such as Nature Genetics, Cell Metabolism and Scientific Reports.

In The Last Decade

Abigail Xie

3 papers receiving 243 citations

Peers

Abigail Xie

MB

HEMAT

CR

ONCOL

GENET

Jiro Minami Japan

Stephen S.Y. Lam Hong Kong

Miriam Kull Germany

Elena Ceccacci Italy

Višnja Radulović Sweden

Heather Leu United States

Daniela Soriano Pignataro United States

Eugene Hwang United States

Londa Fuller United States

Mathilde Gotanègre France

Jiro Minami Japan

Abigail Xie

144 ×0.8

MB

103 ×0.8

HEMAT

28 ×0.6

CR

68 ×1.7

ONCOL

30 ×1.0

GENET

Citations per year, relative to Abigail Xie Abigail Xie (= 1×) peers Jiro Minami

Countries citing papers authored by Abigail Xie

Since Specialization

Citations

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

Fields of papers citing papers by Abigail Xie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abigail Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Abigail Xie. A scholar is included among the top collaborators of Abigail Xie 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 Abigail Xie. Abigail Xie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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3 of 3 papers shown

1.

Lin, Kevin, Justine C. Rutter, Abigail Xie, et al.. (2020). Using antagonistic pleiotropy to design a chemotherapy-induced evolutionary trap to target drug resistance in cancer. Nature Genetics. 52(4). 408–417. 39 indexed citations

2.

Lin, Kevin, Abigail Xie, Justine C. Rutter, et al.. (2019). Systematic Dissection of the Metabolic-Apoptotic Interface in AML Reveals Heme Biosynthesis to Be a Regulator of Drug Sensitivity. Cell Metabolism. 29(5). 1217–1231.e7. 69 indexed citations

3.

Lin, Kevin, Peter Winter, Abigail Xie, et al.. (2016). Targeting MCL-1/BCL-XL Forestalls the Acquisition of Resistance to ABT-199 in Acute Myeloid Leukemia. Scientific Reports. 6(1). 27696–27696. 136 indexed citations

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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