Susan M. Ascher

6.3k total citations
95 papers, 4.1k citations indexed

About

Susan M. Ascher is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Surgery. According to data from OpenAlex, Susan M. Ascher has authored 95 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Obstetrics and Gynecology, 34 papers in Reproductive Medicine and 23 papers in Surgery. Recurrent topics in Susan M. Ascher's work include Uterine Myomas and Treatments (28 papers), Endometriosis Research and Treatment (25 papers) and Endometrial and Cervical Cancer Treatments (23 papers). Susan M. Ascher is often cited by papers focused on Uterine Myomas and Treatments (28 papers), Endometriosis Research and Treatment (25 papers) and Endometrial and Cervical Cancer Treatments (23 papers). Susan M. Ascher collaborates with scholars based in United States, Canada and Japan. Susan M. Ascher's co-authors include Richard C. Semelka, James B. Spies, Izumi Imaoka, Caroline Reinhold, Reena Jha, Richard H. Patt, Jeffrey J. Brown, A S Bagley, R K Zeman and Nikolaos Kelekis and has published in prestigious journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Radiology.

In The Last Decade

Susan M. Ascher

94 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susan M. Ascher United States 36 1.7k 1.5k 1.1k 1.0k 551 95 4.1k
Eric K. Outwater United States 46 1.3k 0.7× 1.8k 1.2× 1.8k 1.7× 2.0k 1.9× 1.1k 1.9× 118 6.3k
Mostafa Atri Canada 38 1.4k 0.8× 1.3k 0.8× 908 0.9× 1.9k 1.8× 1.5k 2.8× 112 4.9k
Jae Young Byun South Korea 31 720 0.4× 1.3k 0.8× 487 0.5× 1.5k 1.5× 619 1.1× 96 3.3k
Takashi Koyama Japan 38 1.7k 1.0× 1.7k 1.1× 964 0.9× 1.2k 1.1× 908 1.6× 168 4.6k
Sung Eun Rha South Korea 30 537 0.3× 910 0.6× 618 0.6× 1.3k 1.3× 631 1.1× 105 3.2k
Ulrike M. Hamper United States 37 694 0.4× 1.2k 0.8× 1.5k 1.4× 2.3k 2.2× 1.5k 2.6× 109 6.0k
Karen Kinkel Switzerland 34 2.2k 1.3× 2.2k 1.5× 2.2k 2.1× 827 0.8× 484 0.9× 72 5.1k
P M Bret Canada 34 596 0.4× 658 0.4× 530 0.5× 2.1k 2.0× 1.3k 2.4× 84 3.8k
Seung Hyup Kim South Korea 37 816 0.5× 798 0.5× 1.4k 1.3× 1.2k 1.2× 2.2k 4.1× 206 4.7k
Harpreet K. Pannu United States 32 815 0.5× 807 0.5× 1.1k 1.0× 1.2k 1.1× 422 0.8× 78 3.1k

Countries citing papers authored by Susan M. Ascher

Since Specialization
Citations

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

Fields of papers citing papers by Susan M. Ascher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan M. Ascher. 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 Susan M. Ascher. The network helps show where Susan M. Ascher may publish in the future.

Co-authorship network of co-authors of Susan M. Ascher

This figure shows the co-authorship network connecting the top 25 collaborators of Susan M. Ascher. A scholar is included among the top collaborators of Susan M. Ascher 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 Susan M. Ascher. Susan M. Ascher 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.
Hindman, Nicole, Stella K. Kang, Laure Fournier, et al.. (2022). MRI Evaluation of Uterine Masses for Risk of Leiomyosarcoma: A Consensus Statement. Radiology. 306(2). e211658–e211658. 35 indexed citations
2.
Ascher, Susan M., et al.. (2022). MR Imaging of the Ovaries. Magnetic Resonance Imaging Clinics of North America. 31(1). 1–10. 1 indexed citations
3.
Robbins, Jessica B., Elizabeth A. Sadowski, Katherine E. Maturen, et al.. (2020). ACR Appropriateness Criteria® Abnormal Uterine Bleeding. Journal of the American College of Radiology. 17(11). S336–S345. 12 indexed citations
4.
Ascher, Susan M., et al.. (2015). Pelvic Endometriosis: Spectrum of Magnetic Resonance Imaging Findings. Seminars in Ultrasound CT and MRI. 36(4). 385–393. 12 indexed citations
5.
Bulman, Julie C., Susan M. Ascher, & James B. Spies. (2012). Current Concepts in Uterine Fibroid Embolization. Radiographics. 32(6). 1735–1750. 39 indexed citations
6.
Lehman, Constance D., Claudine Isaacs, Mitchell D. Schnall, et al.. (2007). Cancer Yield of Mammography, MR, and US in High-Risk Women: Prospective Multi-Institution Breast Cancer Screening Study. Radiology. 244(2). 381–388. 288 indexed citations
7.
Spies, James B., John H. Rundback, Susan M. Ascher, et al.. (2006). Development of a Research Agenda for Uterine Artery Embolization: Proceedings from a Multidisciplinary Research Consensus Panel. Journal of Vascular and Interventional Radiology. 17(12). 1871–1879. 4 indexed citations
8.
Wolfman, Darcy J. & Susan M. Ascher. (2006). Magnetic Resonance Imaging of Benign Uterine Pathology. Topics in Magnetic Resonance Imaging. 17(6). 399–407. 13 indexed citations
9.
Penn, Alan, Rachel F. Brem, Constance D. Lehman, et al.. (2006). Morphologic Blooming in Breast MRI as a Characterization of Margin for Discriminating Benign from Malignant Lesions. Academic Radiology. 13(11). 1344–1354. 20 indexed citations
10.
Takahama, Junko, Susan M. Ascher, S Hirohashi, et al.. (2004). Borderline Brenner tumor of the ovary: MRI findings. Abdominal Imaging. 29(4). 528–30. 26 indexed citations
11.
Jamison, Robert N., Jeff Schein, S. Vallow, et al.. (2003). Abtracts Diagnosis, assessment, and reviews. Journal of Pain. 4(2). 1–104. 1 indexed citations
12.
Imaoka, Izumi, Susan M. Ascher, Kazuro Sugimura, et al.. (2002). MR imaging of diffuse adenomyosis changes after GnRH analog therapy. Journal of Magnetic Resonance Imaging. 15(3). 285–290. 52 indexed citations
13.
Fenton, Bradford W., et al.. (2000). MAGNETIC RESONANCE SPECTROSCOPY TO DETECT LECITHIN IN AMNIOTIC FLUID AND FETAL LUNG. Obstetrics and Gynecology. 95(3). 457–460. 4 indexed citations
14.
Ascher, Susan M., Izumi Imaoka, & Janice M. Lage. (2000). Tamoxifen-induced Uterine Abnormalities: The Role of Imaging. Radiology. 214(1). 29–38. 59 indexed citations
15.
Evans, Stephen R.T. & Susan M. Ascher. (1998). Hepatobiliary and pancreatic surgery : imaging strategies and surgical decision making. 1 indexed citations
16.
Ascher, Susan M.. (1998). MR imaging of the female pelvis: the time has come.. Radiographics. 18(4). 931–945. 10 indexed citations
17.
Semelka, Richard C., et al.. (1997). Small (<1,5 cm) angiomyolipomas of the kidney: Characterization by the combined use of in-phase and fat-attenuated MR techniques. Magnetic Resonance Imaging. 15(2). 141–145. 17 indexed citations
18.
Kelekis, Nikolaos, Richard C. Semelka, Evan S. Siegelman, et al.. (1997). Focal hepatic lymphoma: Magnetic resonance demonstration using current techniques including gadolinium enhancement. Magnetic Resonance Imaging. 15(6). 625–636. 29 indexed citations
19.
Zeman, R K, Andrew S. Zeiberg, W J Davros, et al.. (1993). Routine helical CT of the abdomen: image quality considerations.. Radiology. 189(2). 395–400. 30 indexed citations
20.
Ascher, Susan M., et al.. (1993). Laparoscopic cholecystectomy. Digestive Diseases and Sciences. 38(12). 2212–2219. 4 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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