Venessa Tsang

93 total papers · 1.8k total citations
48 papers, 1.1k citations indexed

About

Venessa Tsang is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology and Surgery. According to data from OpenAlex, Venessa Tsang has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Endocrinology, Diabetes and Metabolism, 20 papers in Oncology and 14 papers in Surgery. Recurrent topics in Venessa Tsang's work include Thyroid Cancer Diagnosis and Treatment (17 papers), Neuroendocrine Tumor Research Advances (11 papers) and Cancer Immunotherapy and Biomarkers (11 papers). Venessa Tsang is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (17 papers), Neuroendocrine Tumor Research Advances (11 papers) and Cancer Immunotherapy and Biomarkers (11 papers). Venessa Tsang collaborates with scholars based in Australia, United States and India. Venessa Tsang's co-authors include Roderick Clifton‐Bligh, Alexander M. Menzies, Georgina V. Long, Bruce G. Robinson, Christopher A. Muir, Matti L. Gild, Richard A. Scolyer, Alexander Guminski, Matteo S. Carlino and Emma Scott and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Venessa Tsang

40 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Venessa Tsang 594 380 320 209 207 48 1.1k
Natalie Prinzi 675 1.1× 280 0.7× 376 1.2× 181 0.9× 171 0.8× 71 1.1k
E L Kaplan 408 0.7× 438 1.2× 254 0.8× 123 0.6× 307 1.5× 35 1.1k
Priyanka Iyer 560 0.9× 616 1.6× 135 0.4× 208 1.0× 119 0.6× 38 1.0k
Simona Borsari 482 0.8× 208 0.5× 316 1.0× 224 1.1× 128 0.6× 56 1.2k
Virginia Cappagli 308 0.5× 861 2.3× 213 0.7× 235 1.1× 228 1.1× 38 1.1k
M. Manzoni 506 0.9× 224 0.6× 385 1.2× 164 0.8× 150 0.7× 38 938
L E Tisell 400 0.7× 560 1.5× 515 1.6× 161 0.8× 335 1.6× 49 1.3k
Harry H. Miller 436 0.7× 373 1.0× 288 0.9× 128 0.6× 406 2.0× 26 951
Andreas Raffel 642 1.1× 351 0.9× 679 2.1× 170 0.8× 469 2.3× 61 1.2k
Shin‐ichiro Takai 296 0.5× 400 1.1× 170 0.5× 351 1.7× 422 2.0× 59 1.3k

Countries citing papers authored by Venessa Tsang

Since Specialization
Citations

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

Fields of papers citing papers by Venessa Tsang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Venessa Tsang

This figure shows the co-authorship network connecting the top 25 collaborators of Venessa Tsang. A scholar is included among the top collaborators of Venessa Tsang 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 Venessa Tsang. Venessa Tsang 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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2026