Angela Zhou

1.7k total citations
28 papers, 817 citations indexed

About

Angela Zhou is a scholar working on Immunology, Economics and Econometrics and Statistics and Probability. According to data from OpenAlex, Angela Zhou has authored 28 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 6 papers in Economics and Econometrics and 5 papers in Statistics and Probability. Recurrent topics in Angela Zhou's work include Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (8 papers) and Immunotherapy and Immune Responses (6 papers). Angela Zhou is often cited by papers focused on Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (8 papers) and Immunotherapy and Immune Responses (6 papers). Angela Zhou collaborates with scholars based in United States, Canada and Norway. Angela Zhou's co-authors include Tania H. Watts, Nathan Kallus, Xiaojie Mao, Michael E. Wortzman, Derek Clouthier, Daniel A. Winer, Edgar G. Engleman, Shawn Winer, Okmi Choi and Helena Lei and has published in prestigious journals such as SHILAP Revista de lepidopterología, Immunity and Nature Immunology.

In The Last Decade

Angela Zhou

27 papers receiving 801 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Angela Zhou United States 15 337 175 156 98 68 28 817
Ksenya Kveler Israel 5 273 0.8× 270 1.5× 78 0.5× 64 0.7× 42 0.6× 7 615
Ngan Nguyen Taiwan 14 94 0.3× 261 1.5× 49 0.3× 45 0.5× 34 0.5× 44 725
Haiping Wang China 17 100 0.3× 297 1.7× 315 2.0× 117 1.2× 40 0.6× 46 1.1k
Weiguo Xu China 19 200 0.6× 318 1.8× 98 0.6× 129 1.3× 84 1.2× 62 1.1k
Fiorella Guadagni Italy 18 109 0.3× 320 1.8× 237 1.5× 48 0.5× 13 0.2× 43 989
Craig E. Grossman United States 11 233 0.7× 203 1.2× 67 0.4× 65 0.7× 21 0.3× 24 784
Bowen Xie China 18 190 0.6× 690 3.9× 292 1.9× 80 0.8× 45 0.7× 59 1.3k
Edward Uchio United States 23 147 0.4× 521 3.0× 426 2.7× 65 0.7× 43 0.6× 101 1.9k
Sue‐Jane Wang United States 24 175 0.5× 270 1.5× 96 0.6× 48 0.5× 23 0.3× 73 1.9k
Rima Hajjo Jordan 17 76 0.2× 470 2.7× 156 1.0× 42 0.4× 161 2.4× 43 1.0k

Countries citing papers authored by Angela Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Angela Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angela Zhou

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

All Works

20 of 20 papers shown
1.
Zhou, Angela, et al.. (2023). Synthetic Control Analysis of the Short-Term Impact of New York State’s Bail Elimination Act on Aggregate Crime. SHILAP Revista de lepidopterología. 11(1). 2 indexed citations
2.
Li, Mengyuan, Ruilin Wu, Angela Zhou, et al.. (2022). A human model of arteriovenous malformation (AVM)-on-a-chip reproduces key disease hallmarks and enables drug testing in perfused human vessel networks. Biomaterials. 288. 121729–121729. 19 indexed citations
3.
Zhou, Angela, et al.. (2021). An Empirical Evaluation of the Impact of New York's Bail Reform on Crime Using Synthetic Controls. SSRN Electronic Journal. 2 indexed citations
4.
Nguyen, Michelle, George Perlman, Che‐Yuan Wu, et al.. (2021). Depression in type 2 diabetes: A systematic review and meta-analysis of blood inflammatory markers. Psychoneuroendocrinology. 134. 105448–105448. 24 indexed citations
5.
Kallus, Nathan, Xiaojie Mao, & Angela Zhou. (2021). Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination. Management Science. 68(3). 1959–1981. 39 indexed citations
6.
Kallus, Nathan, Xiaojie Mao, & Angela Zhou. (2020). Assessing algorithmic fairness with unobserved protected class using data combination. 110–110. 27 indexed citations
7.
Zhou, Angela, et al.. (2020). Minimax-Optimal Policy Learning Under Unobserved Confounding. Management Science. 67(5). 2870–2890. 16 indexed citations
8.
Zhou, Angela, et al.. (2019). The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the XAUC Metric. arXiv (Cornell University). 32. 3433–3443. 4 indexed citations
9.
Kallus, Nathan & Angela Zhou. (2019). Assessing Disparate Impact of Personalized Interventions: Identifiability and Bounds. arXiv (Cornell University). 32. 3421–3432. 2 indexed citations
10.
Ahmed, Shaimaa, David Hutin, Alvin Gomez, et al.. (2019). 3-Methylcholanthrene Induces Chylous Ascites in TCDD-Inducible Poly-ADP-Ribose Polymerase (Tiparp) Knockout Mice. International Journal of Molecular Sciences. 20(9). 2312–2312. 8 indexed citations
11.
Kallus, Nathan & Angela Zhou. (2018). Policy Evaluation and Optimization with Continuous Treatments. International Conference on Artificial Intelligence and Statistics. 1243–1251. 4 indexed citations
12.
Zhou, Angela, et al.. (2018). Residual Unfairness in Fair Machine Learning from Prejudiced Data. International Conference on Machine Learning. 2439–2448. 11 indexed citations
13.
Batista, Nathália Vieira, et al.. (2018). GITRL on inflammatory antigen presenting cells in the lung parenchyma provides signal 4 for T-cell accumulation and tissue-resident memory T-cell formation. Mucosal Immunology. 12(2). 363–377. 24 indexed citations
14.
Tsai, Sue, Xavier Clemente‐Casares, Angela Zhou, et al.. (2018). Insulin Receptor-Mediated Stimulation Boosts T Cell Immunity during Inflammation and Infection. Cell Metabolism. 28(6). 922–934.e4. 203 indexed citations
15.
Zhou, Angela, Lisa E. Wagar, Michael E. Wortzman, & Tania H. Watts. (2017). Intrinsic 4-1BB signals are indispensable for the establishment of an influenza-specific tissue-resident memory CD8 T-cell population in the lung. Mucosal Immunology. 10(5). 1294–1309. 49 indexed citations
16.
Zhou, Angela, Laura M. Snell, Michael E. Wortzman, & Tania H. Watts. (2017). CD30 Is Dispensable for T-Cell Responses to Influenza Virus and Lymphocytic Choriomeningitis Virus Clone 13 but Contributes to Age-Associated T-Cell Expansion in Mice. Frontiers in Immunology. 8. 1156–1156. 4 indexed citations
17.
Clouthier, Derek, Anh Tran, Miguel Martín‐Pérez, et al.. (2017). Dichotomous Expression of TNF Superfamily Ligands on Antigen-Presenting Cells Controls Post-priming Anti-viral CD4+ T Cell Immunity. Immunity. 47(5). 943–958.e9. 32 indexed citations
18.
Yamada, Taisho, Hiromasa Horimoto, Takeshi Kameyama, et al.. (2016). Constitutive aryl hydrocarbon receptor signaling constrains type I interferon–mediated antiviral innate defense. Nature Immunology. 17(6). 687–694. 188 indexed citations
19.
Clouthier, Derek, et al.. (2015). GITR Intrinsically Sustains Early Type 1 and Late Follicular Helper CD4 T Cell Accumulation to Control a Chronic Viral Infection. PLoS Pathogens. 11(1). e1004517–e1004517. 36 indexed citations
20.
Lee, Christopher H. T., et al.. (2015). iGo Green: A Life Cycle Assessment of Apple's iPhone. 1 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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