Anna E. Eastman

460 total citations
12 papers, 249 citations indexed

About

Anna E. Eastman is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Anna E. Eastman has authored 12 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Genetics. Recurrent topics in Anna E. Eastman's work include Pluripotent Stem Cells Research (6 papers), Single-cell and spatial transcriptomics (4 papers) and CRISPR and Genetic Engineering (3 papers). Anna E. Eastman is often cited by papers focused on Pluripotent Stem Cells Research (6 papers), Single-cell and spatial transcriptomics (4 papers) and CRISPR and Genetic Engineering (3 papers). Anna E. Eastman collaborates with scholars based in United States, Netherlands and Denmark. Anna E. Eastman's co-authors include Shangqin Guo, Xiao Hu, Xinyue Chen, Maurizio Morri, Irving L. Weissman, Rahul Sinha, Joy Q. He, Nobuko Uchida, Daniel Dan Liu and Angus Toland and has published in prestigious journals such as Cell, Nature Communications and Blood.

In The Last Decade

Anna E. Eastman

12 papers receiving 245 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anna E. Eastman United States 9 161 46 31 24 23 12 249
Victor Gourain France 9 132 0.8× 83 1.8× 19 0.6× 16 0.7× 15 0.7× 23 238
Wenjun Kong United States 6 197 1.2× 19 0.4× 39 1.3× 17 0.7× 15 0.7× 8 255
Roksana Moraghebi Sweden 7 279 1.7× 44 1.0× 32 1.0× 32 1.3× 41 1.8× 8 349
Gabriel A. Quinlan Australia 6 437 2.7× 115 2.5× 25 0.8× 18 0.8× 20 0.9× 8 489
Mai X. Luong United States 9 292 1.8× 22 0.5× 11 0.4× 50 2.1× 31 1.3× 9 371
Jamie McNicol Canada 6 267 1.7× 13 0.3× 10 0.3× 20 0.8× 49 2.1× 8 314
Jessica Barragan United States 5 101 0.6× 69 1.5× 29 0.9× 11 0.5× 5 0.2× 9 191
Maurizio Morri United States 8 161 1.0× 18 0.4× 6 0.2× 17 0.7× 15 0.7× 12 252
Amandip S. Gill United States 5 154 1.0× 10 0.2× 35 1.1× 11 0.5× 27 1.2× 8 314
Kristine J. Fernandez Australia 7 184 1.1× 88 1.9× 18 0.6× 14 0.6× 10 0.4× 10 300

Countries citing papers authored by Anna E. Eastman

Since Specialization
Citations

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

Fields of papers citing papers by Anna E. Eastman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna E. Eastman. 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 Anna E. Eastman. The network helps show where Anna E. Eastman may publish in the future.

Co-authorship network of co-authors of Anna E. Eastman

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

All Works

12 of 12 papers shown
1.
Liu, Daniel Dan, et al.. (2025). Modeling glioma intratumoral heterogeneity with primary human neural stem and progenitor cells. Stem Cell Reports. 20(9). 102597–102597. 1 indexed citations
2.
Liu, Daniel Dan, Joy Q. He, Rahul Sinha, et al.. (2023). Purification and characterization of human neural stem and progenitor cells. Cell. 186(6). 1179–1194.e15. 53 indexed citations
3.
Hidalgo, Daniel, Jacob Bejder, Ramona Pop, et al.. (2021). EpoR stimulates rapid cycling and larger red cells during mouse and human erythropoiesis. Nature Communications. 12(1). 7334–7334. 29 indexed citations
4.
Eastman, Anna E., et al.. (2021). Actinomyces in explanted transvaginal mesh: commensal or pathogen?. International Urogynecology Journal. 32(11). 3053–3059. 1 indexed citations
5.
Hidalgo, Daniel, Jacob Bejder, Ramona Pop, et al.. (2021). Epor Stimulates Rapid Cycling and Larger Red Cells during Mouse and Human Erythropoiesis. Blood. 138(Supplement 1). 852–852. 3 indexed citations
6.
Eastman, Anna E. & Shangqin Guo. (2020). The palette of techniques for cell cycle analysis. FEBS Letters. 594(13). 2084–2098. 27 indexed citations
7.
Eastman, Anna E., Xinyue Chen, Xiao Hu, et al.. (2020). Resolving Cell Cycle Speed in One Snapshot with a Live-Cell Fluorescent Reporter. Cell Reports. 31(12). 107804–107804. 17 indexed citations
8.
Zhang, Jian, Xiao Hu, Xinyue Chen, et al.. (2020). YAP Non-cell-autonomously Promotes Pluripotency Induction in Mouse Cells. Stem Cell Reports. 14(4). 730–743. 16 indexed citations
9.
Hu, Xiao, Qiao Wu, Jian Zhang, et al.. (2020). Reprogramming progressive cells display low CAG promoter activity. Stem Cells. 39(1). 43–54. 9 indexed citations
10.
Chen, Xinyue, Daniel B. Burkhardt, Xiao Hu, et al.. (2019). MLL-AF9 initiates transformation from fast-proliferating myeloid progenitors. Nature Communications. 10(1). 5767–5767. 41 indexed citations
11.
Hu, Xiao, Zongzhi Liu, Xinyue Chen, et al.. (2019). MKL1-actin pathway restricts chromatin accessibility and prevents mature pluripotency activation. Nature Communications. 10(1). 1695–1695. 31 indexed citations
12.
Hu, Xiao, Anna E. Eastman, & Shangqin Guo. (2019). Cell cycle dynamics in the reprogramming of cellular identity. FEBS Letters. 593(20). 2840–2852. 21 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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