Jodi Lynch

720 total citations
26 papers, 490 citations indexed

About

Jodi Lynch is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jodi Lynch has authored 26 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 7 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jodi Lynch's work include HER2/EGFR in Cancer Research (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Estrogen and related hormone effects (3 papers). Jodi Lynch is often cited by papers focused on HER2/EGFR in Cancer Research (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Estrogen and related hormone effects (3 papers). Jodi Lynch collaborates with scholars based in Australia, United States and United Kingdom. Jodi Lynch's co-authors include D. Hewett, Rosamund C. Smith, Bryan Sykes, Kirsty Lee, Julia Beretov, Peter Graham, Ewan K.A. Millar, Lois Browne, Phyllis Butow and Philip Beale and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Jodi Lynch

25 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jodi Lynch Australia 13 189 112 95 95 81 26 490
Travis Osterman United States 11 127 0.7× 106 0.9× 64 0.7× 59 0.6× 37 0.5× 33 504
Carmel Malone Ireland 11 213 1.1× 38 0.3× 179 1.9× 78 0.8× 62 0.8× 22 551
Maria Litwiniuk Poland 10 245 1.3× 88 0.8× 98 1.0× 74 0.8× 43 0.5× 52 442
Gilberto Uemura Brazil 10 230 1.2× 53 0.5× 101 1.1× 38 0.4× 38 0.5× 31 474
Amanda L. Kong United States 14 322 1.7× 173 1.5× 413 4.3× 65 0.7× 84 1.0× 71 890
Patrick Tan Singapore 14 234 1.2× 84 0.8× 146 1.5× 173 1.8× 29 0.4× 24 800
Annelies H. Boekhout Netherlands 11 303 1.6× 61 0.5× 29 0.3× 89 0.9× 64 0.8× 31 497
Kristine E. Calhoun United States 15 156 0.8× 59 0.5× 277 2.9× 35 0.4× 98 1.2× 32 642
Meghna S. Trivedi United States 16 428 2.3× 136 1.2× 135 1.4× 154 1.6× 38 0.5× 60 664
Johanna Holm Sweden 11 178 0.9× 101 0.9× 175 1.8× 90 0.9× 41 0.5× 21 485

Countries citing papers authored by Jodi Lynch

Since Specialization
Citations

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

Fields of papers citing papers by Jodi Lynch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jodi Lynch

This figure shows the co-authorship network connecting the top 25 collaborators of Jodi Lynch. A scholar is included among the top collaborators of Jodi Lynch 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 Jodi Lynch. Jodi Lynch 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.
Lewis, Craig, et al.. (2023). Survey of medical oncologists and trainee practice on venous thromboembolism prophylaxis and treatment in solid cancers. Internal Medicine Journal. 53(1). 131–135. 1 indexed citations
2.
Millar, Ewan K.A., Yang Song, Lois Browne, et al.. (2022). Survival prediction in triple negative breast cancer using multiple instance learning of histopathological images. Scientific Reports. 12(1). 14527–14527. 18 indexed citations
3.
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Wang, James, Lois Browne, Iveta Šlapetová, et al.. (2021). Multiplexed immunofluorescence identifies high stromal CD68+PD-L1+ macrophages as a predictor of improved survival in triple negative breast cancer. Scientific Reports. 11(1). 21608–21608. 29 indexed citations
5.
Low, Siew‐Kee, Peter Fox, Bavanthi Balakrishnar, et al.. (2020). Simplified phenotyping of CYP2D6 for tamoxifen treatment using the N-desmethyl-tamoxifen/ endoxifen ratio. The Breast. 54. 229–234. 4 indexed citations
6.
Cameron, Barbara, Kate Webber, Hongshou Li, et al.. (2020). Genetic associations of fatigue and other symptoms following breast cancer treatment: A prospective study. Brain Behavior & Immunity - Health. 10. 100189–100189. 11 indexed citations
7.
Millar, Ewan K.A., Lois Browne, Julia Beretov, et al.. (2020). Tumour Stroma Ratio Assessment Using Digital Image Analysis Predicts Survival in Triple Negative and Luminal Breast Cancer. Cancers. 12(12). 3749–3749. 51 indexed citations
8.
Goel, Shom, Jia Liu, Hao Guo, et al.. (2019). Decline in Left Ventricular Ejection Fraction Following Anthracyclines Predicts Trastuzumab Cardiotoxicity. JACC Heart Failure. 7(9). 795–804. 30 indexed citations
9.
Bergin, Alice R.T., Stephen J. Luen, Peter Savas, et al.. (2019). Efficacy of late line pertuzumab with trastuzumab and chemotherapy in HER2‐positive metastatic breast cancer: An Australian case series. Asia-Pacific Journal of Clinical Oncology. 15(6). 377–382. 1 indexed citations
10.
Lee, Kirsty, Sarah J. Lord, Richard S. Finn, et al.. (2018). The impact of ethnicity on efficacy and toxicity of cyclin D kinase 4/6 inhibitors in advanced breast cancer: a meta-analysis. Breast Cancer Research and Treatment. 174(1). 271–278. 27 indexed citations
11.
Fox, Peter, Rosemary L. Balleine, Bo Gao, et al.. (2016). Dose Escalation of Tamoxifen in Patients with Low Endoxifen Level: Evidence for Therapeutic Drug Monitoring—The TADE Study. Clinical Cancer Research. 22(13). 3164–3171. 64 indexed citations
12.
Tognela, Annette, Jane Beith, Belinda E. Kiely, et al.. (2015). Small HER2-Positive Breast Cancer: Should Size Affect Adjuvant Treatment?. Clinical Breast Cancer. 15(4). 277–284. 6 indexed citations
13.
Fox, Peter, Bo Gao, Bavanthi Balakrishnar, et al.. (2013). Factors predicting endoxifen levels in breast cancer patients taking standard-dose tamoxifen and following dose escalation.. Journal of Clinical Oncology. 31(15_suppl). 543–543. 2 indexed citations
14.
Segelov, Eva, et al.. (2012). Pilot study evaluating the role of cardiac magnetic resonance imaging in monitoring adjuvant trastuzumab therapy for breast cancer. Asia-Pacific Journal of Clinical Oncology. 8(1). 95–100. 22 indexed citations
15.
Butow, Phyllis, Jodi Lynch, Elizabeth Hovey, et al.. (2011). Implementing patient question-prompt lists into routine cancer care. Patient Education and Counseling. 86(2). 252–258. 67 indexed citations
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Lynch, Jodi. (2000). Body mass index in Australian children: recent changes and relevance of ethnicity. Archives of Disease in Childhood. 82(1). 16–20. 29 indexed citations
19.
Hewett, D., Jodi Lynch, Rosamund C. Smith, & Bryan Sykes. (1993). A novel fibrillin mutation in the Marfan syndrome which could disrupt calcium binding of the epidermal growth factor-like module. Human Molecular Genetics. 2(4). 475–477. 62 indexed citations
20.
Dudman, Nicholas P.B., et al.. (1991). Failure to detect homocysteine in the acid-hydrolysed plasmas of recent myocardial infarct patients. Atherosclerosis. 86(2-3). 201–209. 4 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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