Thomas J. Lawton

6.1k total citations
53 papers, 4.0k citations indexed

About

Thomas J. Lawton is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Thomas J. Lawton has authored 53 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cancer Research, 15 papers in Pathology and Forensic Medicine and 14 papers in Oncology. Recurrent topics in Thomas J. Lawton's work include Breast Cancer Treatment Studies (16 papers), Breast Lesions and Carcinomas (14 papers) and Medical Imaging Techniques and Applications (8 papers). Thomas J. Lawton is often cited by papers focused on Breast Cancer Treatment Studies (16 papers), Breast Lesions and Carcinomas (14 papers) and Medical Imaging Techniques and Applications (8 papers). Thomas J. Lawton collaborates with scholars based in United States, United Kingdom and Belgium. Thomas J. Lawton's co-authors include S. Nicholas Agoff, Amy C. Rosenzweig, Hannah M. Linden, Dianne Georgian-Smith, Erin K. Schubert, David A. Mankoff, Paul E. Swanson, Stephen E. Hawes, Robert B. Livingston and Susan G. Orel and has published in prestigious journals such as Science, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Thomas J. Lawton

53 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas J. Lawton United States 32 1.5k 1.2k 1.1k 907 800 53 4.0k
Won Park South Korea 35 1.0k 0.7× 742 0.6× 1.4k 1.3× 693 0.8× 594 0.7× 257 4.7k
Takayoshi Uematsu Japan 31 885 0.6× 871 0.7× 507 0.5× 1.4k 1.5× 410 0.5× 213 3.5k
Vladimir Saenko Japan 37 757 0.5× 396 0.3× 1.1k 1.1× 588 0.6× 1.8k 2.2× 131 4.6k
Yong Sik Jung South Korea 29 650 0.4× 463 0.4× 819 0.8× 538 0.6× 290 0.4× 138 2.6k
Edward L. Schwartz United States 38 650 0.4× 510 0.4× 2.3k 2.2× 115 0.1× 2.6k 3.3× 121 5.9k
Hiroshi Minato Japan 32 789 0.5× 529 0.5× 1.7k 1.6× 139 0.2× 1.2k 1.6× 365 6.0k
Evangelos Briasoulis Greece 37 855 0.6× 878 0.8× 2.5k 2.4× 171 0.2× 1.5k 1.8× 151 4.8k
Gary A. Palmer United States 28 880 0.6× 473 0.4× 1.3k 1.2× 137 0.2× 936 1.2× 70 2.7k
Nicolás Isambert France 45 565 0.4× 710 0.6× 3.0k 2.8× 129 0.1× 1.4k 1.7× 236 6.8k
Liqiang Xi United States 42 1.4k 0.9× 1.4k 1.2× 2.0k 1.8× 139 0.2× 1.8k 2.2× 125 5.7k

Countries citing papers authored by Thomas J. Lawton

Since Specialization
Citations

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

Fields of papers citing papers by Thomas J. Lawton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas J. Lawton

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas J. Lawton. A scholar is included among the top collaborators of Thomas J. Lawton 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 Thomas J. Lawton. Thomas J. Lawton 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
1.
Lawton, Thomas J.. (2023). Update on the Use of Molecular Subtyping in Breast Cancer. Advances in Anatomic Pathology. 30(6). 368–373. 5 indexed citations
2.
Thielen, Peter, et al.. (2020). Reference Genome for the Highly Transformable Setaria viridis ME034V. G3 Genes Genomes Genetics. 10(10). 3467–3478. 29 indexed citations
3.
Ross, Matthew O., Fraser MacMillan, Alex Nisthal, et al.. (2019). Particulate methane monooxygenase contains only mononuclear copper centers. Science. 364(6440). 566–570. 234 indexed citations
4.
Nyante, Sarah J., et al.. (2019). Quantitative expression of MMPs 2, 9, 14, and collagen IV in LCIS and paired normal breast tissue. Scientific Reports. 9(1). 13432–13432. 10 indexed citations
6.
Lawton, Thomas J. & Amy C. Rosenzweig. (2016). Biocatalysts for methane conversion: big progress on breaking a small substrate. Current Opinion in Chemical Biology. 35. 142–149. 28 indexed citations
7.
Georgian-Smith, Dianne & Thomas J. Lawton. (2014). Breast Imaging and Pathologic Correlations: A Pattern-Based Approach. Medical Entomology and Zoology. 2 indexed citations
8.
Lawton, Thomas J., et al.. (2013). Characterization of a Nitrite Reductase Involved in Nitrifier Denitrification. Journal of Biological Chemistry. 288(35). 25575–25583. 40 indexed citations
9.
Linden, Hannah M., Brenda F. Kurland, Lanell M. Peterson, et al.. (2011). Fluoroestradiol Positron Emission Tomography Reveals Differences in Pharmacodynamics of Aromatase Inhibitors, Tamoxifen, and Fulvestrant in Patients with Metastatic Breast Cancer. Clinical Cancer Research. 17(14). 4799–4805. 107 indexed citations
10.
Lawton, Thomas J., Luis A. Sayavedra‐Soto, Daniel J. Arp, & Amy C. Rosenzweig. (2009). Crystal Structure of a Two-domain Multicopper Oxidase. Journal of Biological Chemistry. 284(15). 10174–10180. 56 indexed citations
11.
Peterson, Lanell M., David A. Mankoff, Thomas J. Lawton, et al.. (2008). Quantitative Imaging of Estrogen Receptor Expression in Breast Cancer with PET and 18F-Fluoroestradiol. Journal of Nuclear Medicine. 49(3). 367–374. 177 indexed citations
12.
Dunnwald, Lisa K., Julie R. Gralow, Georgiana K. Ellis, et al.. (2005). Residual tumor uptake of [99mTc]‐sestamibi after neoadjuvant chemotherapy for locally advanced breast carcinoma predicts survival. Cancer. 103(4). 680–688. 31 indexed citations
13.
Agoff, S. Nicholas & Thomas J. Lawton. (2004). Papillary Lesions of the Breast With and Without Atypical Ductal Hyperplasia Can We Accurately Predict Benign Behavior From Core Needle Biopsy?. American Journal of Clinical Pathology. 122(3). 440–443. 106 indexed citations
14.
Mankoff, David A., Lisa K. Dunnwald, Julie R. Gralow, et al.. (2003). Changes in blood flow and metabolism in locally advanced breast cancer treated with neoadjuvant chemotherapy.. PubMed. 44(11). 1806–14. 162 indexed citations
15.
Mankoff, David A., Lisa K. Dunnwald, Julie R. Gralow, et al.. (2002). Blood flow and metabolism in locally advanced breast cancer: relationship to response to therapy.. PubMed. 43(4). 500–9. 209 indexed citations
16.
Moskovitz, Alexander H., Benjamin O. Anderson, Raymond S. Yeung, et al.. (2001). Axillary web syndrome after axillary dissection. The American Journal of Surgery. 181(5). 434–439. 144 indexed citations
17.
Ács, Géza, Thomas J. Lawton, Timothy R. Rebbeck, Virginia A. LiVolsi, & Paul J. Zhang. (2001). Differential Expression of E-Cadherin in Lobular and Ductal Neoplasms of the Breast and Its Biologic and Diagnostic Implications. American Journal of Clinical Pathology. 115(1). 85–98. 202 indexed citations
18.
Weinstein, Susan P., et al.. (2001). Cyclosporin A–induced Fibroadenomas of the Breast: Report of Five Cases. Radiology. 220(2). 465–468. 18 indexed citations
19.
Yu, Gordon H., Thomas J. Lawton, Theresa L. Pasha, & Carol Reynolds. (2000). Intercellular adhesion molecule expression in ductal carcinoma of the breast. Diagnostic Cytopathology. 23(2). 73–76. 6 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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