RM Tamimi

674 total citations
10 papers, 386 citations indexed

About

RM Tamimi is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, RM Tamimi has authored 10 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Cancer Research. Recurrent topics in RM Tamimi's work include Breast Cancer Treatment Studies (3 papers), Advanced Breast Cancer Therapies (2 papers) and Global Cancer Incidence and Screening (2 papers). RM Tamimi is often cited by papers focused on Breast Cancer Treatment Studies (3 papers), Advanced Breast Cancer Therapies (2 papers) and Global Cancer Incidence and Screening (2 papers). RM Tamimi collaborates with scholars based in United States, Israel and Canada. RM Tamimi's co-authors include Graham A. Colditz, S. E. Hankinson, Celia Byrne, Παγώνα Λάγιου, Dimitrios Trichopoulos, Lorelei A. Mucci, Areti Lagiou, Hannah Kuper, Chung‐Cheng Hsieh and Lidia Schapira and has published in prestigious journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Cancer Research.

In The Last Decade

RM Tamimi

9 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
RM Tamimi United States	4	163	96	96	79	71	10	386
Felice Fornaro Italy	11	92 0.6×	45 0.5×	50 0.5×	73 0.9×	163 2.3×	16	443
Adele Traina Italy	12	330 2.0×	151 1.6×	45 0.5×	109 1.4×	180 2.5×	26	598
E. Meneghini Italy	12	220 1.3×	133 1.4×	55 0.6×	57 0.7×	139 2.0×	24	410
M. C. Yu China	8	143 0.9×	79 0.8×	163 1.7×	38 0.5×	49 0.7×	17	575
Émilien Gauthier France	7	75 0.5×	62 0.6×	50 0.5×	125 1.6×	44 0.6×	9	488
Seungyoun Jung United States	11	143 0.9×	86 0.9×	47 0.5×	79 1.0×	31 0.4×	28	372
X N Zou China	8	90 0.6×	76 0.8×	126 1.3×	69 0.9×	49 0.7×	11	553
Audrey Jung Germany	13	167 1.0×	37 0.4×	48 0.5×	30 0.4×	42 0.6×	30	367
L. Mignone United States	7	120 0.7×	72 0.8×	12 0.1×	79 1.0×	68 1.0×	10	320
L. J. Martin Canada	7	341 2.1×	109 1.1×	176 1.8×	335 4.2×	119 1.7×	7	696

Countries citing papers authored by RM Tamimi

Since Specialization

Citations

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

Fields of papers citing papers by RM Tamimi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of RM Tamimi

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

All Works

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10 of 10 papers shown

1.

Kensler, Kevin H., EJ Adams, Robert Wesolowski, et al.. (2019). Abstract P1-09-01: CD8+ T-cell gene expression and signatures in breast cancer and adjacent normal breast tissue: Association with body mass index, alcohol intake, and age at diagnosis. Cancer Research. 79(4_Supplement). P1–9.

2.

Tamimi, RM, et al.. (2019). Abstract GS6-06: Local therapy and quality of life outcomes in young women with breast cancer. Cancer Research. 79(4_Supplement). GS6–6. 3 indexed citations

3.

Partridge, AH, et al.. (2016). Abstract P4-10-04: Employment trends in young women following a breast cancer diagnosis. Cancer Research. 76(4_Supplement). P4–10. 2 indexed citations

4.

Partridge, AH, et al.. (2011). P1-08-05: Age and Survival in Women with Early Stage Breast Cancer: An Analysis Controlling for Tumor Subtype.. Cancer Research. 71(24_Supplement). P1–8. 1 indexed citations

5.

Ruddy, Kathryn J., RM Tamimi, Lidia Schapira, et al.. (2010). Coping strategies in young women with breast cancer.. Journal of Clinical Oncology. 28(15_suppl). 9159–9159. 2 indexed citations

6.

Dawood, Shaheenah, et al.. (2009). Defining breast cancer prognosis based on molecular phenotypes: results from a large cohort study.. Cancer Research. 69(2_Supplement). 1068–1068. 2 indexed citations

7.

Collins, Laura C., Shari Gelber, RM Tamimi, et al.. (2009). Pathologic Features and Biomarker Expression among Young Women with Breast Cancer: Results from the Young Women's Breast Cancer Study.. Cancer Research. 69(24_Supplement). 6007–6007. 3 indexed citations

8.

Tamimi, RM, Celia Byrne, Graham A. Colditz, & S. E. Hankinson. (2007). Endogenous Hormone Levels, Mammographic Density, and Subsequent Risk of Breast Cancer in Postmenopausal Women. JNCI Journal of the National Cancer Institute. 99(15). 1178–1187. 202 indexed citations

9.

Tamimi, RM. (2005). Plasma Carotenoids, Retinol, and Tocopherols and Risk of Breast Cancer. American Journal of Epidemiology. 161(2). 153–160. 122 indexed citations

10.

Λάγιου, Παγώνα, Lorelei A. Mucci, RM Tamimi, et al.. (2004). Micronutrient intake during pregnancy in relation to birth size. European Journal of Nutrition. 44(1). 52–59. 49 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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