Mónica Tang

80 total papers · 1.9k total citations
53 papers, 679 citations indexed

About

Mónica Tang is a scholar working on Oncology, Pediatrics, Perinatology and Child Health and Cancer Research. According to data from OpenAlex, Mónica Tang has authored 53 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Oncology, 13 papers in Pediatrics, Perinatology and Child Health and 10 papers in Cancer Research. Recurrent topics in Mónica Tang's work include Prenatal Screening and Diagnostics (10 papers), HER2/EGFR in Cancer Research (6 papers) and Cancer Genomics and Diagnostics (5 papers). Mónica Tang is often cited by papers focused on Prenatal Screening and Diagnostics (10 papers), HER2/EGFR in Cancer Research (6 papers) and Cancer Genomics and Diagnostics (5 papers). Mónica Tang collaborates with scholars based in Australia, Hong Kong and China. Mónica Tang's co-authors include Y. H. Lam, Sallie‐Anne Pearson, R. J. Simes, Bryce A. Kerlin, Warren Lo, Benjamin Daniels, Keith Owen Yeates, Deena J. Chisolm, Khaled Zamel and Boon Chua and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Hepatology.

In The Last Decade

Mónica Tang

48 papers receiving 651 citations

Author Peers

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

Author Last Decade Papers Cites
Mónica Tang 160 158 147 81 74 53 679
Fabienne Gumy‐Pause 137 0.9× 237 1.5× 111 0.8× 85 1.0× 32 0.4× 44 667
Jutte van der Werff ten Bosch 112 0.7× 208 1.3× 119 0.8× 122 1.5× 44 0.6× 57 663
Cheng Cheng 251 1.6× 198 1.3× 168 1.1× 56 0.7× 148 2.0× 37 779
Talat Mushtaq 72 0.5× 215 1.4× 84 0.6× 42 0.5× 71 1.0× 36 649
Johan Bjerner 111 0.7× 196 1.2× 61 0.4× 47 0.6× 43 0.6× 30 676
Γεώργιος Γαλάζιος 53 0.3× 140 0.9× 158 1.1× 49 0.6× 71 1.0× 67 689
P. S. N. Menon 131 0.8× 205 1.3× 64 0.4× 39 0.5× 51 0.7× 67 670
Francesco Felicetti 132 0.8× 84 0.5× 250 1.7× 52 0.6× 61 0.8× 36 630
Margarita Baka 188 1.2× 119 0.8× 336 2.3× 66 0.8× 47 0.6× 48 684
Michelle A. Roesler 118 0.7× 139 0.9× 216 1.5× 147 1.8× 56 0.8× 42 604

Countries citing papers authored by Mónica Tang

Since Specialization
Citations

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

Fields of papers citing papers by Mónica Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mónica Tang

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026