Julia Lawrence

833 total citations
10 papers, 664 citations indexed

About

Julia Lawrence is a scholar working on Genetics, Cancer Research and Molecular Biology. According to data from OpenAlex, Julia Lawrence has authored 10 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Cancer Research and 4 papers in Molecular Biology. Recurrent topics in Julia Lawrence's work include Estrogen and related hormone effects (5 papers), Breast Cancer Treatment Studies (4 papers) and Antioxidant Activity and Oxidative Stress (3 papers). Julia Lawrence is often cited by papers focused on Estrogen and related hormone effects (5 papers), Breast Cancer Treatment Studies (4 papers) and Antioxidant Activity and Oxidative Stress (3 papers). Julia Lawrence collaborates with scholars based in United States. Julia Lawrence's co-authors include Ernest T. Hawk, Jaye L. Viner, Caroline C. Sigman, Ronald A. Lubet, Vernon E. Steele, Ronald Lieberman, James A. Crowell, Levy Kopelovich, Imran Ali and Charles W. Boone and has published in prestigious journals such as Journal of Clinical Oncology, Annals of the New York Academy of Sciences and Journal of Nutrition.

In The Last Decade

Julia Lawrence

10 papers receiving 637 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia Lawrence United States 8 368 121 118 113 105 10 664
M. Margaret Juliana United States 17 440 1.2× 146 1.2× 105 0.9× 173 1.5× 109 1.0× 31 868
Suresh R. Volate United States 10 383 1.0× 53 0.4× 129 1.1× 86 0.8× 73 0.7× 11 757
Hye‐Sook Seo South Korea 18 532 1.4× 156 1.3× 100 0.8× 177 1.6× 90 0.9× 27 936
Avantika Barve United States 11 398 1.1× 44 0.4× 153 1.3× 62 0.5× 80 0.8× 24 748
Tamaro Hudson United States 14 326 0.9× 45 0.4× 126 1.1× 114 1.0× 85 0.8× 29 693
Catherine Andreadi United Kingdom 10 444 1.2× 42 0.3× 84 0.7× 85 0.8× 102 1.0× 12 707
Lokesh Dalasanur Nagaprashantha United States 15 581 1.6× 42 0.3× 107 0.9× 164 1.5× 76 0.7× 23 961
Young-Sam Keum United States 12 815 2.2× 50 0.4× 76 0.6× 92 0.8× 64 0.6× 14 1.1k
Monique Quesne France 6 355 1.0× 125 1.0× 63 0.5× 102 0.9× 54 0.5× 8 775
Feng‐Yao Tang Taiwan 16 455 1.2× 38 0.3× 189 1.6× 80 0.7× 119 1.1× 38 891

Countries citing papers authored by Julia Lawrence

Since Specialization
Citations

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

Fields of papers citing papers by Julia Lawrence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia Lawrence. 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 Julia Lawrence. The network helps show where Julia Lawrence may publish in the future.

Co-authorship network of co-authors of Julia Lawrence

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Lawrence. A scholar is included among the top collaborators of Julia Lawrence 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 Julia Lawrence. Julia Lawrence is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Colonna, Sarah V., et al.. (2015). Analysis of Risk of Recurrence by Subtype in ≤ 1-cm Breast Tumors. Clinical Breast Cancer. 16(3). 223–231. 13 indexed citations
2.
Lawrence, Julia, et al.. (2014). Does Age Predict Outcome in Patients with Inflammatory Breast Cancer?. The American Surgeon. 80(8). 221–224. 1 indexed citations
3.
Howard-McNatt, Marissa, Julia Lawrence, Susan A. Melin, et al.. (2013). Race and recurrence in women who undergo neoadjuvant chemotherapy for breast cancer. The American Journal of Surgery. 205(4). 397–401. 7 indexed citations
4.
Lawrence, Julia, Peter C. Adamson, Rafael C. Caruso, et al.. (2001). Phase I Clinical Trial of Alitretinoin and Tamoxifen in Breast Cancer Patients: Toxicity, Pharmacokinetic, and Biomarker Evaluations. Journal of Clinical Oncology. 19(10). 2754–2763. 39 indexed citations
5.
Kelloff, Gary J., James A. Crowell, Vernon E. Steele, et al.. (2000). Progress in Cancer Chemoprevention: Development of Diet-Derived Chemopreventive Agents. Journal of Nutrition. 130(2). 467S–471S. 382 indexed citations
6.
Hawk, Ernest T., Jaye L. Viner, & Julia Lawrence. (2000). Biomarkers as surrogates for cancer development. Current Oncology Reports. 2(3). 242–250. 13 indexed citations
7.
Conley, Barbara A., Joyce O’Shaughnessy, Sheila A. Prindiville, et al.. (2000). Pilot Trial of the Safety, Tolerability, and Retinoid Levels of N-(4-hydroxyphenyl) Retinamide in Combination With Tamoxifen in Patients at High Risk for Developing Invasive Breast Cancer. Journal of Clinical Oncology. 18(2). 275–275. 55 indexed citations
8.
Lawrence, Julia, Phyllis B. Malpas, Caroline C. Sigman, & Gary J. Kelloff. (2000). Clinical development of estrogen modulators for breast cancer chemoprevention in premenopausal vs. postmenopausal women. Journal of Cellular Biochemistry. 77(S34). 103–114. 7 indexed citations
9.
Kelloff, Gary J., James A. Crowell, Vernon E. Steele, et al.. (1999). Progress in Cancer Chemoprevention. Annals of the New York Academy of Sciences. 889(1). 1–13. 114 indexed citations
10.
Lawrence, Julia, Maria J. Merino, Jean F. Simpson, et al.. (1998). A high-risk lesion for invasive breast cancer, ductal carcinoma in situ, exhibits frequent overexpression of retinoid X receptor.. PubMed. 7(1). 29–35. 33 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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