Toby M. Ward
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- Cancer Cells and Metastasis
- HER2/EGFR in Cancer Research
Papers in
-
- RNA Research and Splicing 4
- PI3K/AKT/mTOR signaling in cancer 3
- Advanced biosensing and bioanalysis techniques 2
- RNA modifications and cancer 2
- Oncology 9
- Cancer Cells and Metastasis 4
- Cancer-related Molecular Pathways 3
- HER2/EGFR in Cancer Research 2
- Co-authors
- Elizabeth Iorns (10 shared papers)Marc E. Lippman (8 shared papers)Mark D. Pegram (10 shared papers)Jennifer Clarke (4 shared papers)Derek M. Dykxhoorn (1 shared paper)Kerry L. Burnstein (1 shared paper)Deborah L. Berry (2 shared papers)Katherine Drews‐Elger (2 shared papers)
- Journals
- Breast Cancer Research and Treatment (4 papers)Cancer Research (3 papers)PLoS ONE (2 papers)Virus Research (1 paper)JNCI Journal of the National Cancer Institute (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Toby M. Ward
19 papers receiving 611 citations
Peers
Comparison fields: 5 of 81
- Cancer Research 170
- Oncology 202
- Molecular Biology 359
- Virology 17
- Biophysics 18
Countries citing papers authored by Toby M. Ward
This map shows the geographic impact of Toby M. Ward'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 Toby M. Ward with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toby M. Ward more than expected).
Fields of papers citing papers by Toby M. Ward
This network shows the impact of papers produced by Toby M. Ward. 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 Toby M. Ward. The network helps show where Toby M. Ward may publish in the future.
Co-authors
The 25 scholars most cited alongside Toby M. Ward, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 126 | |
| 2 | 2012 | 74 | |
| 3 | 2010 | 57 | |
| 4 | 2015 | 55 | |
| 5 | 2016 | 53 | |
| 6 | 2012 | 48 | |
| 7 | 2012 | 34 | |
| 8 | 2014 | 33 | |
| 9 | 2012 | 32 | |
| 10 | 2015 | 25 | |
| 11 | 2011 | 18 | |
| 12 | 2006 | 13 | |
| 13 | 2018 | 13 | |
| 14 | 2009 | 12 | |
| 15 | 2008 | 10 | |
| 16 | 2011 | 8 | |
| 17 | 2010 | 1 | |
| 18 | 2016 | 1 | |
| 19 | 2011 | 1 |
About Toby M. Ward
Toby M. Ward is a scholar working on Molecular Biology, Oncology, Epidemiology, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 614 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (4 papers), RNA Research and Splicing (4 papers), Cancer-related Molecular Pathways (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), HER2/EGFR in Cancer Research (2 papers), Cancer-related molecular mechanisms research (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (170 citations), Oncology (202 citations), Molecular Biology (359 citations), Virology (17 citations) and Biophysics (18 citations). Toby M. Ward has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Elizabeth Iorns, Marc E. Lippman, Mark D. Pegram, Jennifer Clarke, Derek M. Dykxhoorn, Kerry L. Burnstein, Deborah L. Berry, Katherine Drews‐Elger, Kunwei Shen and Xiaosong Chen. Their work appears in journals such as Breast Cancer Research and Treatment, Cancer Research, PLoS ONE, Virus Research and JNCI Journal of the National Cancer Institute.
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.