Phuong Dao

12 total papers · 2.2k total citations
7 papers, 1.3k citations indexed

About

Phuong Dao is a scholar working on Pathology and Forensic Medicine, Genetics and Neurology. According to data from OpenAlex, Phuong Dao has authored 7 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pathology and Forensic Medicine, 3 papers in Genetics and 2 papers in Neurology. Recurrent topics in Phuong Dao's work include Lymphoma Diagnosis and Treatment (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and CAR-T cell therapy research (2 papers). Phuong Dao is often cited by papers focused on Lymphoma Diagnosis and Treatment (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and CAR-T cell therapy research (2 papers). Phuong Dao collaborates with scholars based in United States and Lithuania. Phuong Dao's co-authors include Linas Mažutis, Dana Pe’er, Alexander Y. Rudensky, Andrew Cornish, Sandhya Prabhakaran, Krishna Kadaveru, Ruby Wasti, Kristy Choi, Ambrose Carr and Peter T. McKenney and has published in prestigious journals such as Cell, Blood and Immunity.

In The Last Decade

Phuong Dao

5 papers receiving 1.3k citations

Hit Papers

Single-Cell Map of Divers... 2018 2026 2020 2023 2018 400 800 1.2k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Phuong Dao 733 651 638 292 119 7 1.3k
Ruby Wasti 701 1.0× 651 1.0× 616 1.0× 291 1.0× 120 1.0× 2 1.3k
Daphne Tsoucas 560 0.8× 590 0.9× 566 0.9× 247 0.8× 103 0.9× 8 1.2k
Ayse Bassez 653 0.9× 804 1.2× 833 1.3× 455 1.6× 251 2.1× 8 1.5k
Robert W. Hsieh 432 0.6× 605 0.9× 647 1.0× 220 0.8× 233 2.0× 8 1.4k
Tobias Anzeneder 345 0.5× 624 1.0× 541 0.8× 331 1.1× 129 1.1× 18 1.1k
Giorgia Maroni 657 0.9× 502 0.8× 448 0.7× 145 0.5× 135 1.1× 7 1.1k
John Condeelis 488 0.7× 500 0.8× 560 0.9× 211 0.7× 73 0.6× 10 1.2k
Nicholas Pervolarakis 381 0.5× 718 1.1× 458 0.7× 326 1.1× 90 0.8× 11 1.2k
Anne M. van der Leun 994 1.4× 558 0.9× 1.0k 1.6× 224 0.8× 236 2.0× 9 1.6k
Ravi Mylvaganam 410 0.6× 1.0k 1.6× 793 1.2× 641 2.2× 163 1.4× 5 1.6k

Countries citing papers authored by Phuong Dao

Since Specialization
Citations

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

Fields of papers citing papers by Phuong Dao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phuong Dao

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

All Works

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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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