Kevin Strobel

2.1k total citations · 2 hit papers
12 papers, 1.4k citations indexed

About

Kevin Strobel is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kevin Strobel has authored 12 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Pathology and Forensic Medicine and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kevin Strobel's work include MRI in cancer diagnosis (10 papers), Breast Lesions and Carcinomas (7 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Kevin Strobel is often cited by papers focused on MRI in cancer diagnosis (10 papers), Breast Lesions and Carcinomas (7 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Kevin Strobel collaborates with scholars based in Germany and Japan. Kevin Strobel's co-authors include Simone Schrading, Christiane Kühl, Heribert Bieling, Hans H. Schild, Edwin L. Anderson, Philip Massey, R.-D Hilgers, C Leutner, Alexandra Barabasch and Nienke L. Hansen and has published in prestigious journals such as Journal of Clinical Oncology, The Astrophysical Journal and Radiology.

In The Last Decade

Kevin Strobel

12 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Abbreviated Breast Magnetic Resonance Imaging (MRI): First Postcontrast Subtracted Images and Maximum-Intensity Projection—A Novel Approach to Breast Cancer Screening With MRI

2014 471 citations Christiane Kühl, Simone Schrading et al. Journal of Clinical Oncology profile →
Spectrophotometric standards

1988 354 citations Philip Massey, Kevin Strobel et al. The Astrophysical Journal profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kevin Strobel Germany	10	752	346	315	305	210	12	1.4k
Wei‐Min Gu China	23	79 0.1×	881 2.5×	73 0.2×	145 0.5×	215 1.0×	142	2.1k
W. Ansbacher Canada	24	599 0.8×	72 0.2×	42 0.1×	629 2.1×	226 1.1×	57	1.7k
Clemens G. Kaiser Germany	15	306 0.4×	66 0.2×	90 0.3×	60 0.2×	71 0.3×	48	648
Franco Perrone Italy	20	104 0.1×	64 0.2×	57 0.2×	291 1.0×	180 0.9×	71	1.2k
Matthew J. Harris United Kingdom	14	51 0.1×	481 1.4×	177 0.6×	52 0.2×	334 1.6×	27	1.0k
Christopher Lam Hong Kong	13	48 0.1×	36 0.1×	153 0.5×	70 0.2×	88 0.4×	20	761
N. Nesvacil Austria	22	388 0.5×	231 0.7×	12 0.0×	218 0.7×	31 0.1×	61	1.8k
Dezső Ribli Hungary	8	21 0.0×	91 0.3×	39 0.1×	172 0.6×	225 1.1×	11	641
E. Damen Netherlands	32	2.3k 3.1×	73 0.2×	39 0.1×	2.5k 8.2×	286 1.4×	81	3.9k
Stephen Houston United Kingdom	18	319 0.4×	86 0.2×	42 0.1×	285 0.9×	358 1.7×	43	1.5k

Countries citing papers authored by Kevin Strobel

Since Specialization

Citations

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

Fields of papers citing papers by Kevin Strobel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Strobel

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

Tsukada, Hiroko, et al.. (2019). Accuracy of multi-parametric breast MR imaging for predicting pathological complete response of operable breast cancer prior to neoadjuvant systemic therapy. Magnetic Resonance Imaging. 62. 242–248. 10 indexed citations

Kühl, Christiane, Annika Keulers, Kevin Strobel, et al.. (2018). Not all false positive diagnoses are equal: On the prognostic implications of false-positive diagnoses made in breast MRI versus in mammography / digital tomosynthesis screening. Breast Cancer Research. 20(1). 13–13. 45 indexed citations

Kühl, Christiane, Kevin Strobel, Heribert Bieling, et al.. (2017). Supplemental Breast MR Imaging Screening of Women with Average Risk of Breast Cancer. Radiology. 283(2). 361–370. 231 indexed citations

Kühl, Christiane, Kevin Strobel, Heribert Bieling, et al.. (2017). Impact of Preoperative Breast MR Imaging and MR-guided Surgery on Diagnosis and Surgical Outcome of Women with Invasive Breast Cancer with and without DCIS Component. Radiology. 284(3). 645–655. 51 indexed citations

Schrading, Simone, Kevin Strobel, Annika Keulers, Timm Dirrichs, & Christiane Kühl. (2016). Safety and Efficacy of Magnetic Resonance–Guided Vacuum-Assisted Large-Volume Breast Biopsy (MR-Guided VALB). Investigative Radiology. 52(3). 186–193. 16 indexed citations

Kühl, Christiane, Heribert Bieling, Kevin Strobel, et al.. (2015). Breast MRI screening of women at average risk of breast cancer: An observational cohort study.. Journal of Clinical Oncology. 33(28_suppl). 1–1. 6 indexed citations

Schrading, Simone, et al.. (2014). Digital Breast Tomosynthesis–guided Vacuum-assisted Breast Biopsy: Initial Experiences and Comparison with Prone Stereotactic Vacuum-assisted Biopsy. Radiology. 274(3). 654–662. 91 indexed citations

Kühl, Christiane, Simone Schrading, Kevin Strobel, et al.. (2014). Abbreviated Breast Magnetic Resonance Imaging (MRI): First Postcontrast Subtracted Images and Maximum-Intensity Projection—A Novel Approach to Breast Cancer Screening With MRI. Journal of Clinical Oncology. 32(22). 2304–2310. 471 indexed citations breakdown →

Strobel, Kevin, Simone Schrading, Nienke L. Hansen, Alexandra Barabasch, & Christiane Kühl. (2014). Assessment of BI-RADS Category 4 Lesions Detected with Screening Mammography and Screening US: Utility of MR Imaging. Radiology. 274(2). 343–351. 64 indexed citations

10.

Hansen, Nienke L., Christiane Kühl, Alexandra Barabasch, Kevin Strobel, & Simone Schrading. (2014). Does MRI Breast “Density” (Degree of Background Enhancement) Correlate With Mammographic Breast Density?. Journal of Magnetic Resonance Imaging. 40(2). 483–489. 41 indexed citations

11.

Kühl, Christiane, Simone Schrading, Kevin Strobel, & Heribert Bieling. (2013). Accelerated breast MRI for breast cancer screening.. Journal of Clinical Oncology. 31(26_suppl). 1–1. 6 indexed citations

12.

Massey, Philip, et al.. (1988). Spectrophotometric standards. The Astrophysical Journal. 328. 315–315. 354 indexed citations breakdown →

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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