Martine Salane

1.6k total citations
13 papers, 1.3k citations indexed

About

Martine Salane is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Artificial Intelligence. According to data from OpenAlex, Martine Salane has authored 13 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 9 papers in Oncology and 8 papers in Artificial Intelligence. Recurrent topics in Martine Salane's work include Digital Radiography and Breast Imaging (11 papers), Global Cancer Incidence and Screening (8 papers) and AI in cancer detection (8 papers). Martine Salane is often cited by papers focused on Digital Radiography and Breast Imaging (11 papers), Global Cancer Incidence and Screening (8 papers) and AI in cancer detection (8 papers). Martine Salane collaborates with scholars based in United States, Norway and France. Martine Salane's co-authors include John N. Wolfe, Giske Ursin, Louise A. Brinton, Malcolm C. Pike, Yuri R. Parisky, Melvin A. Astrahan, Leslie Bernstein, Moysés Szklo, Audrey F. Saftlas and Anna H. Wu and has published in prestigious journals such as Cancer, American Journal of Epidemiology and Radiology.

In The Last Decade

Martine Salane

13 papers receiving 1.2k citations

Peers

Martine Salane

PRM

ONCOL

AI

CR

PFM

Karin Leifland Sweden

Linda J. Warren Burhenne Canada

Olga Melnichouk Canada

Gabriella Risso Italy

Louise Eriksson Sweden

Beniamino Brancato Italy

Hanna Sartor Sweden

Amir Pasha Mahmoudzadeh United States

J.H.C.L. Hendriks Netherlands

Ninah Achacoso United States

Karin Leifland Sweden

Martine Salane

437 ×0.5

PRM

383 ×0.5

ONCOL

413 ×0.7

AI

273 ×0.7

CR

309 ×1.2

PFM

Citations per year, relative to Martine Salane Martine Salane (= 1×) peers Karin Leifland

Countries citing papers authored by Martine Salane

Since Specialization

Citations

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

Fields of papers citing papers by Martine Salane

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martine Salane

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

All Works

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13 of 13 papers shown

1.

Habel, Laurel A., Angela M. Capra, Nina Oestreicher, et al.. (2007). Mammographic density in a multiethnic cohort. Menopause The Journal of The North American Menopause Society. 14(5). 891–899. 81 indexed citations

2.

Bénichou, Jacques, Celia Byrne, Leslie E. Carroll, et al.. (2003). Secular stability and reliability of measurements of the percentage of dense tissue on mammograms. Cancer Detection and Prevention. 27(4). 266–274. 21 indexed citations

3.

Ursin, Giske, Huiyan Ma, Anna H. Wu, et al.. (2003). Mammographic density and breast cancer in three ethnic groups.. PubMed. 12(4). 332–8. 287 indexed citations

4.

Haiman, Christopher A., Leslie Bernstein, David Van Den Berg, et al.. (2002). Genetic determinants of mammographic density. Breast Cancer Research. 4(3). R5–R5. 67 indexed citations

5.

Byrne, Celia, Catherine Schairer, Louise A. Brinton, et al.. (2001). Effects of mammographic density and benign breast disease on breast cancer risk (United States). Cancer Causes & Control. 12(2). 103–110. 86 indexed citations

6.

Ursin, Giske, Melvin A. Astrahan, Martine Salane, et al.. (1998). The detection of changes in mammographic densities.. PubMed. 7(1). 43–7. 128 indexed citations

7.

Saftlas, Audrey F., Louise A. Brinton, Moysés Szklo, et al.. (1991). Mammographic densities and risk of breast cancer. Cancer. 67(11). 2833–2838. 208 indexed citations

8.

Saftlas, Audrey F., John N. Wolfe, Robert N. Hoover, et al.. (1989). MAMMOGRAPHIC PARENCHYMAL PATTERNS AS INDICATORS OF BREAST CANCER RISK. American Journal of Epidemiology. 129(3). 518–526. 82 indexed citations

9.

Wolfe, John N., et al.. (1987). Xeroradiography of the breast: overview of 21,057 consecutive cases.. Radiology. 165(2). 305–311. 45 indexed citations

10.

Salane, Martine, et al.. (1987). Mammographic parenchymal patterns and quantitative evaluation of mammographic densities: a case-control study. American Journal of Roentgenology. 148(6). 1087–1092. 225 indexed citations

11.

Wolfe, John N., et al.. (1983). Breast Parenchymal Patterns and Their Relationship to Risk for Having or Developing Carcinoma. Radiologic Clinics of North America. 21(1). 127–136. 19 indexed citations

12.

Albert, Steven M., et al.. (1982). Breast parenchymal patterns: analysis of 332 incident breast carcinomas. American Journal of Roentgenology. 138(1). 113–118. 19 indexed citations

13.

Wolfe, John N., et al.. (1980). Familial influences on breast parenchymal patterns. Cancer. 46(11). 2433–2437. 29 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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