Maggie Liu

710 total citations
10 papers, 477 citations indexed

About

Maggie Liu is a scholar working on Oncology, Computational Theory and Mathematics and Immunology. According to data from OpenAlex, Maggie Liu has authored 10 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Oncology, 2 papers in Computational Theory and Mathematics and 2 papers in Immunology. Recurrent topics in Maggie Liu's work include Computational Drug Discovery Methods (2 papers), Plant Virus Research Studies (2 papers) and Full-Duplex Wireless Communications (2 papers). Maggie Liu is often cited by papers focused on Computational Drug Discovery Methods (2 papers), Plant Virus Research Studies (2 papers) and Full-Duplex Wireless Communications (2 papers). Maggie Liu collaborates with scholars based in United States, Sweden and Switzerland. Maggie Liu's co-authors include Fredrik Nyberg, Marianne Gerber, Andriani C. Patera, Dejan Pavlović, Vis Taraz, Yogita Shamdasani, Thomas M. Monticello, Donna M. Dambach, Thomas W. Jones and David M. Potter and has published in prestigious journals such as Journal of Clinical Oncology, Journal of the American College of Cardiology and Clinical Pharmacology & Therapeutics.

In The Last Decade

Maggie Liu

10 papers receiving 459 citations

Peers

Maggie Liu

ONCOL

EEE

MB

BE

BIOMA

Vittorio Fortino Finland

Jin Zhou China

Dwaipayan Mukherjee United States

Xin Yuan China

Simone von Bonin Germany

Shoaib Majeed Switzerland

Nidhi Shukla India

C. Parmentier France

Qiyong Li China

Tuan Anh Pham United States

Vittorio Fortino Finland

Maggie Liu

50 ×0.3

ONCOL

9 ×0.1

EEE

510 ×6.4

MB

74 ×1.2

BE

24 ×0.4

BIOMA

Citations per year, relative to Maggie Liu Maggie Liu (= 1×) peers Vittorio Fortino

Countries citing papers authored by Maggie Liu

Since Specialization

Citations

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

Fields of papers citing papers by Maggie Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maggie Liu

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

All Works

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10 of 10 papers shown

1.

Liu, Maggie, Yogita Shamdasani, & Vis Taraz. (2023). Climate Change and Labor Reallocation: Evidence from Six Decades of the Indian Census. American Economic Journal Economic Policy. 15(2). 395–423. 49 indexed citations

2.

Sathish, Jean G., Declan Flynn, Stephen Jenkinson, et al.. (2022). Comprehensive Nonclinical Safety Assessment of Nirmatrelvir Supporting Timely Development of the SARS-COV-2 Antiviral Therapeutic, Paxlovid™. International Journal of Toxicology. 41(4). 276–290. 13 indexed citations

3.

Keck, James, Wenqian He, Bernard S. Buetow, et al.. (2022). Validation of a clinically relevant humanized mouse model for the safety assessment of 4-1BB agonists utomilumab and urelumab.. Journal of Clinical Oncology. 40(16_suppl). e14602–e14602. 2 indexed citations

4.

Kasaian, Marion T., et al.. (2019). The Progressive Multifocal Leukoencephalopathy Consortium as a Model for Advancing Research and Dialogue on Rare Severe Adverse Drug Reactions. Advances in Therapy. 36(4). 757–765. 1 indexed citations

5.

Liu, Maggie, Akintunde Bello, Salima Darakjy, et al.. (2019). Evaluation of Therapeutics for Severely Debilitating or Life‐Threatening Diseases or Conditions: Defining Scope to Enable Global Guidance Development. Clinical Pharmacology & Therapeutics. 107(3). 514–520. 4 indexed citations

6.

Chen, Xue‐Jiao, et al.. (2019). Improving Precision of Grammatical Error Correction with a Cheat Sheet. 240–245. 3 indexed citations

7.

Monticello, Thomas M., Thomas W. Jones, Donna M. Dambach, et al.. (2017). Current nonclinical testing paradigm enables safe entry to First-In-Human clinical trials: The IQ consortium nonclinical to clinical translational database. Toxicology and Applied Pharmacology. 334. 100–109. 106 indexed citations

8.

Havel, Henry A., Gregory L. Finch, Stephen E. Zale, et al.. (2016). Nanomedicines: From Bench to Bedside and Beyond. The AAPS Journal. 18(6). 1373–1378. 102 indexed citations

9.

Pavlović, Dejan, Andriani C. Patera, Fredrik Nyberg, Marianne Gerber, & Maggie Liu. (2015). Progressive multifocal leukoencephalopathy: current treatment options and future perspectives. Therapeutic Advances in Neurological Disorders. 8(6). 255–273. 149 indexed citations

10.

Marco, Teresa De, Paul Daly, Maggie Liu, et al.. (1987). Enalaprilat, a new parenteral angiotensin-converting enzyme inhibitor: Rapid changes in systemic and coronary hemodynamics and humoral profile in chronic heart failure. Journal of the American College of Cardiology. 9(5). 1131–1138. 48 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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