Toby M. Ward

747 citations
19 papers · 618 · h-index 13

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer Cells and Metastasis
    • HER2/EGFR in Cancer Research

Papers in

    • RNA Research and Splicing 3
    • PI3K/AKT/mTOR signaling in cancer 3
    • Cancer-related gene regulation 2
    • Advanced Biosensing Techniques and Applications 2
    • Cancer-related Molecular Pathways 3
    • Cancer Cells and Metastasis 3

Toby M. Ward

19 papers receiving 615 citations

Peers

Toby M. Ward
Comparison fields: 5 of 76
  • Cancer Research 147
  • Oncology 177
  • Molecular Biology 319
  • Virology 17
  • Biophysics 18
Replace Carrie Bonomi with:
Carrie Bonomi United States
Steve Guerrero United States
Josefine Gerhardt Switzerland
Naoe Taira Japan
Colin D.H. Ratcliffe Canada
Florent Dufour France
Elizabeth L. Christie Australia
Beverly P. Holskin United States
Amin Yaqubie United States
Hyang Sook Seol South Korea
Toby M. Ward relative to Carrie Bonomi United States Carrie Bonomi's profile →
Citations per field
00.5×3.9×
Carrie Bonomi · 1×
Citations per year

Countries citing papers authored by Toby M. Ward

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Toby M. Ward Line = papers co-authored together Toby M. Ward links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2012127
2 201275
3 201057
4 201555
5 201653
6 201248
7 201435
8 201234
9 201232
10 201525
11 201118
12 201813
13 200613
14 200912
15 200810
16 20118
17 20161
18 20111
19 20101

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 618 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (3 papers), Cancer Cells and Metastasis (3 papers), RNA Research and Splicing (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Cancer-related gene regulation (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Herpesvirus Infections and Treatments (2 papers). The work is most often cited by research in Cancer Research (147 citations), Oncology (177 citations), Molecular Biology (319 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, Tumor Biology 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.

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