Daniel Doheny
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 10%
- Cancer Cells and Metastasis
- Cytokine Signaling Pathways and Interactions
- Cancer-related Molecular Pathways
Papers in
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- Hedgehog Signaling Pathway Studies 5
- Oncology 8
- Cytokine Signaling Pathways and Interactions 3
- Cancer Cells and Metastasis 3
- Co-authors
- Hui‐Wen Lo (12 shared papers)Grace L. Wong (9 shared papers)Sara G. Manore (9 shared papers)Angelina T. Regua (8 shared papers)Sherona Sirkisoon (6 shared papers)Jimmy Ruiz (4 shared papers)Michael D. Chan (4 shared papers)Richard L. Carpenter (3 shared papers)
- Journals
- Cancer Letters (3 papers)Toxicological Sciences (2 papers)Oncogene (2 papers)Cancer Research (2 papers)Toxicology and Applied Pharmacology (2 papers)
- Partner nations
- United States
In The Last Decade
Daniel Doheny
16 papers receiving 672 citations
Daniel Doheny's Hit Papers
Peers
Comparison fields: 5 of 80
- Cancer Research 151
- Oncology 265
- Molecular Biology 363
- Genetics 45
- Pathology and Forensic Medicine 76
Countries citing papers authored by Daniel Doheny
This map shows the geographic impact of Daniel Doheny'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 Daniel Doheny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Doheny more than expected).
Fields of papers citing papers by Daniel Doheny
This network shows the impact of papers produced by Daniel Doheny. 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 Daniel Doheny. The network helps show where Daniel Doheny may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Doheny, 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 | IL-6/JAK/STAT3 Signaling in Breast Cancer Metastasis: Biology and Treatment Hit paper breakdown → | 2022 | 173 |
| 2 | 2020 | 134 | |
| 3 | 2022 | 73 | |
| 4 | 2019 | 72 | |
| 5 | 2020 | 63 | |
| 6 | 2022 | 38 | |
| 7 | 2016 | 29 | |
| 8 | 2021 | 19 | |
| 9 | 2021 | 18 | |
| 10 | 2019 | 15 | |
| 11 | Trk receptor tyrosine kinases in metastasis and cancer therapy. | 2019 | 14 |
| 12 | 2016 | 11 | |
| 13 | 2018 | 11 | |
| 14 | 2022 | 9 | |
| 15 | 2022 | 1 | |
| 16 | 2020 | 1 |
About Daniel Doheny
Daniel Doheny is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Health, Toxicology and Mutagenesis and Small Animals, having authored 16 papers that have together received 681 indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (5 papers), Cancer Mechanisms and Therapy (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Cancer Cells and Metastasis (3 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Computational Drug Discovery Methods (2 papers), Animal testing and alternatives (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Cancer Research (151 citations), Oncology (265 citations), Molecular Biology (363 citations), Genetics (45 citations) and Pathology and Forensic Medicine (76 citations). Daniel Doheny has collaborated with scholars based in United States. Frequent co-authors include Hui‐Wen Lo, Grace L. Wong, Sara G. Manore, Angelina T. Regua, Sherona Sirkisoon, Jimmy Ruiz, Michael D. Chan, Richard L. Carpenter, Dongqin Zhu and Jiayuh Lin. Their work appears in journals such as Cancer Letters, Toxicological Sciences, Oncogene, Cancer Research and Toxicology and Applied Pharmacology.
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.