Jodi Lynch
Impact in
-
- Cancer Treatment and Pharmacology
-
- Breast Cancer Treatment Studies
Papers in
- Oncology 12
- HER2/EGFR in Cancer Research 5
- Cancer Treatment and Pharmacology 2
-
- Radiomics and Machine Learning in Medical Imaging 3
- Co-authors
- Bryan Sykes (1 shared paper)D. Hewett (1 shared paper)Rosamund C. Smith (1 shared paper)Kirsty Lee (3 shared papers)Lois Browne (3 shared papers)Ewan K.A. Millar (4 shared papers)Julia Beretov (3 shared papers)Peter Graham (3 shared papers)
- Journals
- Scientific Reports (2 papers)Journal of Medical Genetics (2 papers)Journal of Clinical Oncology (2 papers)Breast Cancer Research and Treatment (2 papers)Clinical Cancer Research (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Jodi Lynch
25 papers receiving 483 citations
Peers
Comparison fields: 5 of 86
- Oncology 189
- Cancer Research 95
- Pharmacology 36
- Genetics 112
- Radiology, Nuclear Medicine and Imaging 81
Countries citing papers authored by Jodi Lynch
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
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-authors
The 25 scholars most cited alongside Jodi Lynch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 67 | |
| 2 | 2016 | 64 | |
| 3 | 1993 | 62 | |
| 4 | 2020 | 51 | |
| 5 | 2019 | 30 | |
| 6 | 2000 | 29 | |
| 7 | 2021 | 29 | |
| 8 | 2018 | 27 | |
| 9 | 2012 | 22 | |
| 10 | 2022 | 18 | |
| 11 | 1987 | 18 | |
| 12 | 2010 | 15 | |
| 13 | 2021 | 14 | |
| 14 | 2020 | 11 | |
| 15 | 2015 | 6 | |
| 16 | 1991 | 6 | |
| 17 | 2021 | 5 | |
| 18 | 2020 | 4 | |
| 19 | 1991 | 4 | |
| 20 | 2013 | 2 |
About Jodi Lynch
Jodi Lynch is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Genetics and Pharmacology, having authored 26 papers that have together received 490 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (5 papers), Breast Cancer Treatment Studies (3 papers), Inflammatory mediators and NSAID effects (3 papers), Estrogen and related hormone effects (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Chemotherapy-induced cardiotoxicity and mitigation (3 papers), Cancer Treatment and Pharmacology (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Oncology (189 citations), Cancer Research (95 citations), Pharmacology (36 citations), Genetics (112 citations) and Radiology, Nuclear Medicine and Imaging (81 citations). Jodi Lynch has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Bryan Sykes, D. Hewett, Rosamund C. Smith, Kirsty Lee, Lois Browne, Ewan K.A. Millar, Julia Beretov, Peter Graham, Phyllis Butow and Philip Beale. Their work appears in journals such as Scientific Reports, Journal of Medical Genetics, Journal of Clinical Oncology, Breast Cancer Research and Treatment and Clinical Cancer Research.
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.