Venessa Chin

12.6k total citations
46 papers, 916 citations indexed

About

Venessa Chin is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Venessa Chin has authored 46 papers receiving a total of 916 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Oncology, 14 papers in Cancer Research and 11 papers in Molecular Biology. Recurrent topics in Venessa Chin's work include Pancreatic and Hepatic Oncology Research (16 papers), Cancer Genomics and Diagnostics (12 papers) and Cancer Immunotherapy and Biomarkers (7 papers). Venessa Chin is often cited by papers focused on Pancreatic and Hepatic Oncology Research (16 papers), Cancer Genomics and Diagnostics (12 papers) and Cancer Immunotherapy and Biomarkers (7 papers). Venessa Chin collaborates with scholars based in Australia, United States and United Kingdom. Venessa Chin's co-authors include Adnan Nagrial, Andrew V. Biankin, Marina Pajic, Lorraine A. Chantrill, Bertrand Routy, Brooke E. Wilson, Anthony J. Gill, Katrin Marie Sjoquist, Desmond Yip and David K. Chang and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Nature Reviews Genetics.

In The Last Decade

Venessa Chin

41 papers receiving 904 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Venessa Chin Australia 14 591 299 222 222 167 46 916
Fuminori Sonohara Japan 17 448 0.8× 378 1.3× 301 1.4× 264 1.2× 227 1.4× 64 960
Lorraine A. Chantrill Australia 14 605 1.0× 185 0.6× 246 1.1× 206 0.9× 170 1.0× 48 885
Frederik J.H. Hoogwater Netherlands 17 369 0.6× 296 1.0× 278 1.3× 118 0.5× 136 0.8× 54 843
Per Jönsson Sweden 18 361 0.6× 294 1.0× 184 0.8× 247 1.1× 257 1.5× 31 985
Diego M. Avella United States 19 462 0.8× 299 1.0× 213 1.0× 167 0.8× 215 1.3× 38 1.0k
Yuichiro Yokoyama Japan 15 287 0.5× 348 1.2× 250 1.1× 152 0.7× 95 0.6× 89 937
Trevor M. Yeung United Kingdom 16 579 1.0× 381 1.3× 203 0.9× 190 0.9× 127 0.8× 37 1.0k
Hongyu Zhang China 16 334 0.6× 301 1.0× 100 0.5× 213 1.0× 149 0.9× 42 842
Hanxiang Zhan China 16 739 1.3× 382 1.3× 311 1.4× 359 1.6× 231 1.4× 40 1.2k
Tomohito Tanaka Japan 18 291 0.5× 348 1.2× 117 0.5× 208 0.9× 93 0.6× 81 1.0k

Countries citing papers authored by Venessa Chin

Since Specialization
Citations

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

Fields of papers citing papers by Venessa Chin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Venessa Chin

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

All Works

20 of 20 papers shown
1.
Tanaka, Atsushi, et al.. (2025). C1orf50 Accelerates Epithelial-Mesenchymal Transition and the Cell Cycle of Hepatocellular Carcinoma. Cancer Genomics & Proteomics. 22(6). 836–849.
2.
Tanaka, Atsushi, et al.. (2025). C1orf50 Drives Malignant Melanoma Progression Through the Regulation of Stemness. Cancer Genomics & Proteomics. 22(4). 510–524.
3.
Laidsaar‐Powell, Rebekah, Phyllis Butow, Bernadette Brown, et al.. (2024). Carrying on with life as a lung cancer survivor: a qualitative study of Australian survivors’ employment, finances, relationships, and healthcare experiences. Translational Lung Cancer Research. 13(4). 785–798. 1 indexed citations
4.
5.
Sim, Hao‐Wen, Rachael A. McCloy, Venessa Chin, et al.. (2024). Oncological outcomes post transoral robotic surgery (TORS) for HPV-associated oropharyngeal squamous cell carcinoma, a single-centre retrospective Australian study. Journal of Robotic Surgery. 18(1). 226–226. 1 indexed citations
6.
Brown, Bernadette, et al.. (2023). Clinicians’ Evaluation of Lung Cancer Clinical Quality Indicators and Comparative Performance Data in Practice. European Journal of Cancer Care. 2023. 1–11. 1 indexed citations
7.
Kane, Alisa, et al.. (2023). Two Very Rare Cases of Metastatic Thymic Carcinoma with Sjogren’s Syndrome: A Case Series. SHILAP Revista de lepidopterología. 16(1). 122–129.
8.
Marshall, Henry, et al.. (2023). Air pollution and lung cancer—A new era. Respirology. 28(4). 313–315. 3 indexed citations
9.
Laidsaar‐Powell, Rebekah, Phyllis Butow, Bernadette Brown, et al.. (2023). Application of a revised model for coping with advanced cancer to qualitatively explore lung cancer survivors’ experiences of ongoing physical effects, novel treatments, uncertainty, and coping. Journal of Cancer Survivorship. 18(6). 1754–1770. 6 indexed citations
10.
Xuan, Chengluan, Yan Wen, Dan Wang, et al.. (2022). Efficacy of preemptive analgesia treatments for the management of postoperative pain: a network meta-analysis. British Journal of Anaesthesia. 129(6). 946–958. 51 indexed citations
11.
Chin, Venessa, et al.. (2022). Resveratrol for Weight Loss in Obesity: An Assessment of Randomized Control Trial Designs in ClinicalTrials.gov. Nutrients. 14(7). 1424–1424. 14 indexed citations
12.
Lee, Christine U., et al.. (2022). High cyclin E1 protein, but not gene amplification, is prognostic for basal‐like breast cancer. The Journal of Pathology Clinical Research. 8(4). 355–370. 3 indexed citations
13.
Hastings, Jordan F., Álvaro González-Rajal, Sharissa L. Latham, et al.. (2020). Analysis of pulsed cisplatin signalling dynamics identifies effectors of resistance in lung adenocarcinoma. eLife. 9. 7 indexed citations
14.
Shakri, Ahmad Rushdi, Wanchao Ma, Courtney Coker, et al.. (2020). Aberrant Zip14 expression in muscle is associated with cachexia in a Bard1‐deficient mouse model of breast cancer metastasis. Cancer Medicine. 9(18). 6766–6775. 4 indexed citations
15.
Sabanathan, Dhanusha, Adnan Nagrial, & Venessa Chin. (2016). The changing landscape of systemic therapy in advanced pancreatic cancer. Cancer Forum. 40(1). 53–58. 1 indexed citations
16.
Pajic, Marina, David Herrmann, Claire Vennin, et al.. (2015). The dynamics of Rho GTPase signaling and implications for targeting cancer and the tumor microenvironment. Small GTPases. 6(2). 123–133. 29 indexed citations
17.
Chantrill, Lorraine A., Skye H. Simpson, Amber L. Johns, et al.. (2015). Abstract CT210: Precision medicine for advanced pancreas cancer: the individualized molecular pancreatic cancer therapy (IMPaCT) trial. Cancer Research. 75(15_Supplement). CT210–CT210. 1 indexed citations
18.
Nagrial, Adnan, Venessa Chin, Katrin Marie Sjoquist, et al.. (2015). Role of chemoradiation in locally advanced pancreatic cancer: A systematic review and meta-analysis.. Journal of Clinical Oncology. 33(3_suppl). 348–348. 1 indexed citations
19.
Zhu, Lingxiang, Boram Lee, Fangkun Zhao, et al.. (2014). Modulation of Airway Epithelial Antiviral Immunity by Fungal Exposure. American Journal of Respiratory Cell and Molecular Biology. 50(6). 1136–1143. 6 indexed citations
20.
Nagrial, Adnan, et al.. (2013). Pharmacologic and radiotherapeutic interventions for advanced pancreatic cancer. Cochrane Database of Systematic Reviews. 1 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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