Rosemary Laughlin

1.8k total citations
17 papers, 1.4k citations indexed

About

Rosemary Laughlin is a scholar working on Oncology, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Rosemary Laughlin has authored 17 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 7 papers in Public Health, Environmental and Occupational Health and 5 papers in Molecular Biology. Recurrent topics in Rosemary Laughlin's work include Cancer Risks and Factors (7 papers), Nutritional Studies and Diet (7 papers) and Glutathione Transferases and Polymorphisms (3 papers). Rosemary Laughlin is often cited by papers focused on Cancer Risks and Factors (7 papers), Nutritional Studies and Diet (7 papers) and Glutathione Transferases and Polymorphisms (3 papers). Rosemary Laughlin collaborates with scholars based in United States. Rosemary Laughlin's co-authors include Saxon Graham, Jo L. Freudenheim, James R. Marshall, Takuma Nemoto, John E. Vena, Christine B. Ambrosone, J E Vena, Peter G. Shields, John Brasure and Patricia A. Thompson and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, American Journal of Epidemiology and Annals of the New York Academy of Sciences.

In The Last Decade

Rosemary Laughlin

17 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rosemary Laughlin United States	13	661	433	412	277	219	17	1.4k
Jon J. Michnovicz United States	17	704 1.1×	698 1.6×	416 1.0×	193 0.7×	154 0.7×	26	1.9k
Rudolph J. J. Hermus Netherlands	14	279 0.4×	146 0.3×	391 0.9×	431 1.6×	140 0.6×	17	1.3k
Zhi-Xian Ruan United States	19	240 0.4×	334 0.8×	622 1.5×	354 1.3×	205 0.9×	23	1.4k
W. C. Willett United States	7	177 0.3×	163 0.4×	412 1.0×	363 1.3×	312 1.4×	8	1.3k
Angie Stone United States	19	628 1.0×	288 0.7×	202 0.5×	87 0.3×	137 0.6×	24	1.3k
Richard J. Hershcopf United States	16	361 0.5×	714 1.6×	384 0.9×	200 0.7×	105 0.5×	20	1.6k
Patricia C. Pillow United States	17	399 0.6×	248 0.6×	171 0.4×	251 0.9×	82 0.4×	20	1.1k
Basil A. Stoll United Kingdom	21	348 0.5×	387 0.9×	627 1.5×	209 0.8×	333 1.5×	92	1.5k
B. A. Rosner United States	8	245 0.4×	137 0.3×	336 0.8×	397 1.4×	121 0.6×	9	1.5k
Luke D. Ratnasinghe United States	13	509 0.8×	105 0.2×	190 0.5×	58 0.2×	230 1.1×	14	934

Countries citing papers authored by Rosemary Laughlin

Since Specialization

Citations

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

Fields of papers citing papers by Rosemary Laughlin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosemary Laughlin

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

All Works

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17 of 17 papers shown

Freudenheim, Jo L., Christine B. Ambrosone, Kirsten B. Moysich, et al.. (1999). Alcohol dehydrogenase 3 genotype modification of the associationof alcohol consumption with breast cancer risk. Cancer Causes & Control. 10(5). 369–377. 63 indexed citations

Ambrosone, Christine B., Jo L. Freudenheim, Patricia A. Thompson, et al.. (1999). Manganese superoxide dismutase (MnSOD) genetic polymorphisms, dietary antioxidants, and risk of breast cancer.. PubMed. 59(3). 602–6. 325 indexed citations

Ambrosone, Christine B., Jo L. Freudenheim, Rashmi Sinha, et al.. (1998). Breast cancer risk, meat consumption and N-acetyltransferase (NAT2) genetic polymorphisms. International Journal of Cancer. 75(6). 825–830. 89 indexed citations

Thompson, Patricia A., Peter G. Shields, Jo L. Freudenheim, et al.. (1998). Genetic polymorphisms in catechol-O-methyltransferase, menopausal status, and breast cancer risk.. PubMed. 58(10). 2107–10. 174 indexed citations

Freudenheim, Jo L., James R. Marshall, J E Vena, et al.. (1997). Lactation History and Breast Cancer Risk. American Journal of Epidemiology. 146(11). 932–938. 47 indexed citations

Olson, Sara H., John E. Vena, Joan Dorn, et al.. (1997). Exercise, occupational activity, and risk of endometrial cancer. Annals of Epidemiology. 7(1). 46–53. 53 indexed citations

Moysich, Kirsten B., Christine B. Ambrosone, John E. Vena, et al.. (1996). DIETARY CORRELATES OF SERUM DDE AND HCB LEVELS IN POSTMENOPAUSAL WOMEN. Epidemiology. 7(Supplement). S90–S90. 1 indexed citations

Freudenheim, Jo L., James R. Marshall, John E. Vena, et al.. (1996). Premenopausal Breast Cancer Risk and Intake of Vegetables, Fruits, and Related Nutrients. JNCI Journal of the National Cancer Institute. 88(6). 340–348. 268 indexed citations

Shields, Peter G., Christine B. Ambrosone, Saxon Graham, et al.. (1996). A cytochrome P4502E1 genetic polymorphism and tobacco smoking in breast cancer. Molecular Carcinogenesis. 17(3). 144–150. 34 indexed citations

10.

Ambrosone, Christine B., James R. Marshall, John E. Vena, et al.. (1995). Interaction of family history of breast cancer and dietary antioxidants with breast cancer risk (New York, United States). Cancer Causes & Control. 6(5). 407–415. 29 indexed citations

11.

Freudenheim, Jo L., James R. Marshall, Saxon Graham, et al.. (1995). Lifetime alcohol consumption and risk of breast cancer. Nutrition and Cancer. 23(1). 1–11. 54 indexed citations

12.

Ambrosone, Christine B., Jo L. Freudenheim, James R. Marshall, et al.. (1995). The Association of Polymorphic N‐Acetyltransferase (NAT2) with Breast Cancer Risk. Annals of the New York Academy of Sciences. 768(1). 250–252. 12 indexed citations

13.

Ambrosone, Christine B., Jo L. Freudenheim, Saxon Graham, et al.. (1995). Cytochrome P4501A1 and glutathione S-transferase (M1) genetic polymorphisms and postmenopausal breast cancer risk.. PubMed. 55(16). 3483–5. 175 indexed citations

14.

Mendola, Pauline, James R. Marshall, Saxon Graham, Rosemary Laughlin, & Jo L. Freudenheim. (1995). Dietary correlates of fat intake. Nutrition and Cancer. 23(2). 161–169. 7 indexed citations

15.

Freudenheim, Jo L., James R. Marshall, Saxon Graham, et al.. (1994). Exposure to Breastmilk in Infancy and the Risk of Breast Cancer. Epidemiology. 5(3). 324–331. 55 indexed citations

16.

Vena, John E., Jo L. Freudenheim, James R. Marshall, et al.. (1994). Risk of Premenopausal Breast Cancer and Use of Electric Blankets. American Journal of Epidemiology. 140(11). 974–979. 50 indexed citations

17.

Freudenheim, Jo L., John R. Marshall, Saxon Graham, et al.. (1994). 94143439 Exposure to breastmilk in infancy and the risk of breast cancer. Maturitas. 20(2-3). 224–224. 1 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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