Thomas L. Dao

4.1k citations
124 papers · 3.0k indexed · h-index 34

Impact in

    • Breast Cancer Treatment Studies
  • Oncology top 2%
    • Cancer Treatment and Pharmacology
    • Cancer Risks and Factors
    • Cancer Cells and Metastasis
    • HER2/EGFR in Cancer Research

Papers in

Thomas L. Dao

120 papers receiving 2.6k citations

Peers

Thomas L. Dao
Comparison fields: 5 of 120
  • Cancer Research 788
  • Oncology 1.0k
  • Genetics 1000
  • Dermatology 166
  • Endocrinology, Diabetes and Metabolism 306
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Parviz M. Pour United States
J. Russo United States
Andrea Manni United States
R.D. Bulbrook United Kingdom
Shin‐ichi Hayashi Japan
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Citations per field
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Citations per year

Countries citing papers authored by Thomas L. Dao

Since Specialization
Citations

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

Fields of papers citing papers by Thomas L. Dao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas L. Dao. 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 Thomas L. Dao. The network helps show where Thomas L. Dao may publish in the future.

Co-authors

The 25 scholars most cited alongside Thomas L. Dao, 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 Thomas L. Dao Line = papers co-authored together Thomas L. Dao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 19929
2 199012
3 198916
4 19891
5 198751
6 198414
7 198316
8 19834
9 198314
10
Effect of estrogen and progesterone on cellular replication of human breast tumors.
198254
11 19809
12
Estrogen synthesis and estradiol binding by human mammary tumors.
197871
13 197832
14 197712
15 197622
16
The nature of estrogen and prolactin effect on mammary tumorigenesis.
197349
17 196415
18
The role of ovarian hormones in initiating the induction of mammary cancer in rats by polynuclear hydrocarbons.
196296
19
Factors Affecting the Polynuclear Hydrocarbon Level in Rat Mammary Glands
196116
20
Lactation induced by luteotrophin in women with mammary cancer; growth of the breast of the human male following estrogenic treatment.
19544

About Thomas L. Dao

Thomas L. Dao is a scholar working on Cancer Research, Genetics, Oncology, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine, having authored 124 papers that have together received 3.0k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (26 papers), Breast Cancer Treatment Studies (14 papers), Cancer Treatment and Pharmacology (10 papers), Effects and risks of endocrine disrupting chemicals (7 papers), Phytoestrogen effects and research (7 papers), Cancer Diagnosis and Treatment (6 papers), Cancer Cells and Metastasis (6 papers) and Growth Hormone and Insulin-like Growth Factors (6 papers). The work is most often cited by research in Cancer Research (788 citations), Oncology (1.0k citations), Genetics (1000 citations), Dermatology (166 citations) and Endocrinology, Diabetes and Metabolism (306 citations). Thomas L. Dao has collaborated with scholars based in United States, Vietnam and Italy. Frequent co-authors include Takuma Nemoto, Dilip Kumar Sinha, Clement Ip, C.E. Huggins, Paul R. Libby, Jashbhai K. Patel, Po C. Chan, Dutzu Rosner, James T. Grace and Po‐Chuen Chan. Their work appears in journals such as Cancer, JNCI Journal of the National Cancer Institute, Experimental Biology and Medicine, Journal of Surgical Oncology and Steroids.

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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