Brian J. Long

4.6k citations
56 papers · 2.1k indexed · h-index 28

Impact in

  • Genetics top 2%
    • Estrogen and related hormone effects
  • Oncology top 5%
    • HER2/EGFR in Cancer Research

Papers in

    • Estrogen and related hormone effects 28
    • Cancer Cells and Metastasis 6
    • Cancer-related Molecular Pathways 5
    • Cancer Immunotherapy and Biomarkers 5

Brian J. Long

53 papers receiving 2.1k citations

Peers

Brian J. Long
Comparison fields: 5 of 98
  • Genetics 1.2k
  • Oncology 779
  • Cancer Research 429
  • Pharmacology 162
  • Toxicology 55
Replace Eric A. Ariazi with:
Eric A. Ariazi United States
Angela Brodie United States
R.I. Nicholson United Kingdom
Michael Dukes United Kingdom
Alan E. Wakeling United Kingdom
Gauri Sabnis United States
Anne E. Lykkesfeldt Denmark
R A McClelland United Kingdom
Sophie Dauvois Canada
Suzanne E. Wardell United States
Brian J. Long relative to Eric A. Ariazi United States Eric A. Ariazi's profile →
Citations per field
00.5×1.6×
Eric A. Ariazi · 1×
Citations per year

Countries citing papers authored by Brian J. Long

Since Specialization
Citations

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

Fields of papers citing papers by Brian J. Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian J. Long. 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 Brian J. Long. The network helps show where Brian J. Long may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20240
3 20201
4 2013143
5 20096
6 200816
7 200713
8
Mammalian target of rapamycin (mTOR) as a target in human breast cancer cells that have acquired resistance to aromatase inhibitor letrozole
20064
9 2005133
10 2004102
11 200419
12 200327
13
The effect of alternating letrozole and tamoxifen in comparison to sequential treatment with each drug alone or in combination
20016
14 200184
15 199965
16 199958
17 199862
18 199619
19 199349
20 199246

About Brian J. Long

Brian J. Long is a scholar working on Genetics, Oncology, Cancer Research, Pharmacology and Endocrinology, Diabetes and Metabolism, having authored 56 papers that have together received 2.1k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (28 papers), Prostate Cancer Treatment and Research (8 papers), Cancer Cells and Metastasis (6 papers), Hormonal and reproductive studies (6 papers), Pharmacogenetics and Drug Metabolism (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Cancer-related Molecular Pathways (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). The work is most often cited by research in Genetics (1.2k citations), Oncology (779 citations), Cancer Research (429 citations), Pharmacology (162 citations) and Toxicology (55 citations). Brian J. Long has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Angela Brodie, Angela Brodie, Danijela Jelovac, Apinya Thiantanawat, Dmitry N. Grigoryev, Qing Lü, Gauri Sabnis, Vincent C.O. Njar, Ivo Nnane and A. Brodie. Their work appears in journals such as The Journal of Steroid Biochemistry and Molecular Biology, Cancer Research, Breast Cancer Research and Treatment, Molecular Cancer Therapeutics and British Journal of Cancer.

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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