John R. Hawse

4.5k total citations
113 papers, 3.3k citations indexed

About

John R. Hawse is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, John R. Hawse has authored 113 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Molecular Biology, 46 papers in Genetics and 28 papers in Oncology. Recurrent topics in John R. Hawse's work include Estrogen and related hormone effects (37 papers), TGF-β signaling in diseases (22 papers) and Bone Metabolism and Diseases (20 papers). John R. Hawse is often cited by papers focused on Estrogen and related hormone effects (37 papers), TGF-β signaling in diseases (22 papers) and Bone Metabolism and Diseases (20 papers). John R. Hawse collaborates with scholars based in United States, France and United Kingdom. John R. Hawse's co-authors include Malayannan Subramaniam, Thomas C. Spelsberg, James N. Ingle, Matthew P. Goetz, Marc Kantorow, Xianglin Wu, Elizabeth S. Bruinsma, Nalini M. Rajamannan, Merry Jo Oursler and Sabine F. Bensamoun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

John R. Hawse

105 papers receiving 3.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John R. Hawse United States 36 1.9k 1.1k 823 575 332 113 3.3k
Rajeshwar R. Tekmal United States 36 1.6k 0.9× 1.3k 1.2× 993 1.2× 607 1.1× 298 0.9× 135 3.8k
Yoko Omoto Japan 29 1.1k 0.6× 1.2k 1.1× 870 1.1× 553 1.0× 353 1.1× 49 2.5k
Tsuneo Imai Japan 31 948 0.5× 617 0.6× 645 0.8× 455 0.8× 223 0.7× 127 3.3k
Carol A. Sartorius United States 39 1.8k 1.0× 1.6k 1.4× 1.5k 1.8× 892 1.6× 338 1.0× 76 3.7k
Suzanne E. Wardell United States 28 1.6k 0.9× 1.0k 0.9× 930 1.1× 1.0k 1.8× 670 2.0× 50 3.4k
Ramesh Narayanan United States 31 1.2k 0.7× 699 0.6× 476 0.6× 360 0.6× 703 2.1× 84 2.7k
Shin‐ichi Hayashi Japan 37 3.0k 1.6× 1.3k 1.2× 1.4k 1.7× 848 1.5× 538 1.6× 91 4.9k
Yoshikazu Masuhiro Japan 19 1.7k 0.9× 1.7k 1.5× 803 1.0× 266 0.5× 186 0.6× 28 3.1k
Kevin Pruitt United States 29 2.9k 1.5× 510 0.5× 771 0.9× 518 0.9× 227 0.7× 71 4.0k
Marja T. Nevalainen United States 37 1.8k 0.9× 728 0.7× 1.7k 2.0× 876 1.5× 1.0k 3.0× 77 3.7k

Countries citing papers authored by John R. Hawse

Since Specialization
Citations

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

Fields of papers citing papers by John R. Hawse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. Hawse. 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 John R. Hawse. The network helps show where John R. Hawse may publish in the future.

Co-authorship network of co-authors of John R. Hawse

This figure shows the co-authorship network connecting the top 25 collaborators of John R. Hawse. A scholar is included among the top collaborators of John R. Hawse based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John R. Hawse. John R. Hawse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Pouletaut, Philippe, Meng Li, Venus Joumaa, et al.. (2023). Multiscale Passive Mechanical Characterization of Rodent Skeletal Muscle. IRBM. 44(6). 100800–100800. 5 indexed citations
4.
Wang, Xiyin, et al.. (2023). Disruption of estrogen receptor beta’s DNA binding domain impairs its tumor suppressive effects in triple negative breast cancer. Frontiers in Medicine. 10. 1047166–1047166. 5 indexed citations
5.
Wicik, Zofia, Kevin S. Pitel, Megan Weivoda, et al.. (2023). Estrogen-regulated miRs in bone enhance osteoblast differentiation and matrix mineralization. Molecular Therapy — Nucleic Acids. 33. 28–41. 3 indexed citations
6.
Wu, Xinyan, Krishna R. Kalari, Xiaojia Tang, et al.. (2023). Endoxifen downregulates AKT phosphorylation through protein kinase C beta 1 inhibition in ERα+ breast cancer. npj Breast Cancer. 9(1). 101–101. 4 indexed citations
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Yadav, Siddhartha, Lindsey R. Sangaralingham, Stephanie Payne, et al.. (2022). Surveillance mammography after treatment for male breast cancer. Breast Cancer Research and Treatment. 194(3). 693–698. 1 indexed citations
9.
Reid, Joel M., et al.. (2021). Endoxifen, an Estrogen Receptor Targeted Therapy: From Bench to Bedside. Endocrinology. 162(12). 19 indexed citations
10.
Yoo, Ki Hyun, Mohammad Mamun Ur Rashid, Chang Hoon Cho, et al.. (2021). Nicotinamide Mononucleotide Prevents Cisplatin-Induced Cognitive Impairments. Cancer Research. 81(13). 3727–3737. 36 indexed citations
11.
Yadav, Siddhartha, Irbaz Bin Riaz, Hao Xie, et al.. (2019). Male breast cancer in the United States: Treatment patterns and prognostic factors in the 21st century. Cancer. 126(1). 26–36. 90 indexed citations
12.
Pouletaut, Philippe, et al.. (2019). Ultrasound image processing to estimate the structural and functional properties of mouse skeletal muscle. Biomedical Signal Processing and Control. 56. 101735–101735. 6 indexed citations
13.
Piquereau, Jérôme, Lydie Nadal‐Desbarats, Sandra Même, et al.. (2019). Novel role of Tieg1 in muscle metabolism and mitochondrial oxidative capacities. Acta Physiologica. 228(3). e13394–e13394. 16 indexed citations
14.
Ishikawa, Tomonori, Wan-Ru Lee, Christine Crumbley, et al.. (2018). Estrogen Receptor Beta-Mediated Modulation of Lung Cancer Cell Proliferation by 27-Hydroxycholesterol. Frontiers in Endocrinology. 9. 470–470. 31 indexed citations
15.
Mishra, Vivek Kumar, Malayannan Subramaniam, Vijayalakshmi Kari, et al.. (2017). Krüppel-like Transcription Factor KLF10 Suppresses TGFβ-Induced Epithelial-to-Mesenchymal Transition via a Negative Feedback Mechanism. Cancer Research. 77(9). 2387–2400. 47 indexed citations
16.
Subramaniam, Malayannan, Kevin S. Pitel, Elizabeth S. Bruinsma, David G. Monroe, & John R. Hawse. (2017). TIEG and estrogen modulate SOST expression in the murine skeleton. Journal of Cellular Physiology. 233(4). 3540–3551. 11 indexed citations
17.
Carter, Jodi M., Benjamin M. Howe, John R. Hawse, et al.. (2016). CTNNB1 Mutations and Estrogen Receptor Expression in Neuromuscular Choristoma and Its Associated Fibromatosis. The American Journal of Surgical Pathology. 40(10). 1368–1374. 27 indexed citations
18.
Aravamudan, Bharathi, Michael A. Thompson, Christina M. Pabelick, et al.. (2016). Differential Expression of Estrogen Receptor Variants in Response to Inflammation Signals in Human Airway Smooth Muscle. Journal of Cellular Physiology. 232(7). 1754–1760. 30 indexed citations
19.
Hieken, Tina J., Jodi M. Carter, John R. Hawse, et al.. (2015). ERβ Expression and Breast Cancer Risk Prediction for Women with Atypias. Cancer Prevention Research. 8(11). 1084–1092. 13 indexed citations
20.
Kantorow, Marc, et al.. (2004). Methionine sulfoxide reductase A is important for lens cell viability and resistance to oxidative stress. Proceedings of the National Academy of Sciences. 101(26). 9654–9659. 149 indexed citations

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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