Florence T.H. Wu

65 total papers · 962 total citations
23 papers, 733 citations indexed

About

Florence T.H. Wu is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Florence T.H. Wu has authored 23 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Oncology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Florence T.H. Wu's work include Angiogenesis and VEGF in Cancer (13 papers), Lymphatic System and Diseases (5 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Florence T.H. Wu is often cited by papers focused on Angiogenesis and VEGF in Cancer (13 papers), Lymphatic System and Diseases (5 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Florence T.H. Wu collaborates with scholars based in United States, Canada and Switzerland. Florence T.H. Wu's co-authors include Feilim Mac Gabhann, Marianne O. Stefanini, Aleksander S. Popel, Christopher D. Kontos, Brian H. Annex, Robert S. Kerbel, Shan Man, Ping Xu, Kabir A. Khan and Marta Pàez‐Ribes and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Florence T.H. Wu

22 papers receiving 727 citations

Author Peers

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

Author Last Decade Papers Cites
Florence T.H. Wu 441 213 155 101 86 23 733
Marta Sesé 442 1.0× 169 0.8× 228 1.5× 84 0.8× 20 0.2× 18 735
W.-D. Beecken 253 0.6× 175 0.8× 131 0.8× 66 0.7× 246 2.9× 14 768
Yi Chen 616 1.4× 177 0.8× 332 2.1× 59 0.6× 45 0.5× 17 907
Ling‐Yuh Huw 253 0.6× 269 1.3× 140 0.9× 81 0.8× 68 0.8× 26 646
Michalis Mastri 320 0.7× 205 1.0× 132 0.9× 85 0.8× 137 1.6× 32 726
Philippe Lucarelli 470 1.1× 216 1.0× 190 1.2× 93 0.9× 43 0.5× 20 770
Filip Roudnicky 387 0.9× 217 1.0× 87 0.6× 185 1.8× 114 1.3× 29 719
Saket Jain 453 1.0× 251 1.2× 270 1.7× 188 1.9× 67 0.8× 29 906
John F. de Groot 382 0.9× 218 1.0× 238 1.5× 172 1.7× 21 0.2× 14 849
Petros M. Pavlopoulos 318 0.7× 125 0.6× 156 1.0× 30 0.3× 155 1.8× 28 653

Countries citing papers authored by Florence T.H. Wu

Since Specialization
Citations

This map shows the geographic impact of Florence T.H. Wu'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 Florence T.H. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florence T.H. Wu more than expected).

Fields of papers citing papers by Florence T.H. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Florence T.H. Wu. 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 Florence T.H. Wu. The network helps show where Florence T.H. Wu may publish in the future.

Co-authorship network of co-authors of Florence T.H. Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Florence T.H. Wu. A scholar is included among the top collaborators of Florence T.H. Wu 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 Florence T.H. Wu. Florence T.H. Wu 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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