Anne-Kathrin Höhn

456 total citations
21 papers, 357 citations indexed

About

Anne-Kathrin Höhn is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Obstetrics and Gynecology. According to data from OpenAlex, Anne-Kathrin Höhn has authored 21 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Pulmonary and Respiratory Medicine and 5 papers in Obstetrics and Gynecology. Recurrent topics in Anne-Kathrin Höhn's work include Radiomics and Machine Learning in Medical Imaging (18 papers), MRI in cancer diagnosis (7 papers) and Endometrial and Cervical Cancer Treatments (5 papers). Anne-Kathrin Höhn is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (18 papers), MRI in cancer diagnosis (7 papers) and Endometrial and Cervical Cancer Treatments (5 papers). Anne-Kathrin Höhn collaborates with scholars based in Germany, Italy and Canada. Anne-Kathrin Höhn's co-authors include Hans‐Jonas Meyer, Alexey Surov, Patrick Stumpp, Sandra Purz, Andreas Boehm, Thomas Kahn, Matthias Gawlitza, Osama Sabri, Stefan Schob and Curd Behrmann and has published in prestigious journals such as Scientific Reports, Oncotarget and Cancers.

In The Last Decade

Anne-Kathrin Höhn

17 papers receiving 356 citations

Peers

Anne-Kathrin Höhn
Xue-Wen Liu China
Giuseppe Giovinazzo Italy
Zengjie Wu China
Kotaro Yoshio Japan
C. Chiumento Italy
Nicola Raffetto Italy
M. Di Tommaso Italy
Comron Hassanzadeh United States
Joshua Shur United Kingdom
Izaskun Valduvieco Spain
Xue-Wen Liu China
Anne-Kathrin Höhn
Citations per year, relative to Anne-Kathrin Höhn Anne-Kathrin Höhn (= 1×) peers Xue-Wen Liu

Countries citing papers authored by Anne-Kathrin Höhn

Since Specialization
Citations

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

Fields of papers citing papers by Anne-Kathrin Höhn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne-Kathrin Höhn. 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 Anne-Kathrin Höhn. The network helps show where Anne-Kathrin Höhn may publish in the future.

Co-authorship network of co-authors of Anne-Kathrin Höhn

This figure shows the co-authorship network connecting the top 25 collaborators of Anne-Kathrin Höhn. A scholar is included among the top collaborators of Anne-Kathrin Höhn 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 Anne-Kathrin Höhn. Anne-Kathrin Höhn 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.
Meyer, Hans‐Jonas, et al.. (2025). Associations between MRI radiomics analysis and tumor-micro milieu in uterine cervical cancer. Journal of Cancer Research and Clinical Oncology. 151(7). 219–219.
2.
Höhn, Anne-Kathrin, Hans‐Michael Tautenhahn, Daniel Seehofer, et al.. (2025). Associations between the SMARS score derived from CT and MRI with histopathological features in HCC. Scientific Reports. 15(1). 24862–24862.
3.
Struck, Manuel F., Anne-Kathrin Höhn, Sebastian Krämer, et al.. (2024). Impact of radiomics features, pulmonary emphysema score and muscle mass on the rate of pneumothorax and chest tube insertion in CT-guided lung biopsies. Respiratory Research. 25(1). 320–320.
4.
Mehdorn, Matthias, Anne-Kathrin Höhn, Stefan Niebisch, et al.. (2024). Diagnostic Accuracy and Reliability of CT-based Node-RADS for Esophageal Cancer. In Vivo. 39(1). 353–359. 1 indexed citations
5.
Borggrefe, Jan, et al.. (2024). Associations between ADC histogram analysis values and tumor-micro milieu in uterine cervical cancer. Cancer Imaging. 24(1). 170–170. 1 indexed citations
6.
Höhn, Anne-Kathrin, Georg Osterhoff, Nikolas Schopow, et al.. (2024). Impact of quantitative CT texture analysis on the outcome of CT-guided bone biopsy. Journal of bone oncology. 47. 100616–100616. 2 indexed citations
7.
Mehdorn, Matthias, Sigmar Stelzner, Uwe Scheuermann, et al.. (2024). Diagnostic accuracy and reliability of CT-based Node-RADS for colon cancer. Abdominal Radiology. 50(1). 1–7. 10 indexed citations
8.
Aktas, Bahriye, et al.. (2024). MRI Texture Analysis of Inguinal Lymph Node Metastasis in Vulvar Cancer – Associations With Histopathology. Anticancer Research. 44(6). 2709–2716. 1 indexed citations
9.
Meyer, Hans‐Jonas, Hubert Wirtz, Anne-Kathrin Höhn, et al.. (2022). CT texture analysis and node-RADS CT score of mediastinal lymph nodes - diagnostic performance in lung cancer patients. Cancer Imaging. 22(1). 75–75. 25 indexed citations
10.
Meyer, Hans‐Jonas, Gordian Hamerla, Anne-Kathrin Höhn, Karl‐Titus Hoffmann, & Alexey Surov. (2021). Perifocal edema volume is not associated with immunohistochemical features reflecting proliferation potential, microvessel density, neoangiogenesis and invasiveness in brain metastasis. Clinical Neurology and Neurosurgery. 202. 106537–106537. 3 indexed citations
11.
Meyer, Hans‐Jonas, et al.. (2021). Associations Between ADC Texture Analysis and Tumor Infiltrating Lymphocytes in Brain Metastasis – A Preliminary Study. Anticancer Research. 41(9). 4549–4554.
12.
Surov, Alexey, Hans‐Jonas Meyer, Anne-Kathrin Höhn, et al.. (2019). 18F-FDG-PET Can Predict Microvessel Density in Head and Neck Squamous Cell Carcinoma. Cancers. 11(4). 543–543. 5 indexed citations
13.
Surov, Alexey, Hans‐Jonas Meyer, Anne-Kathrin Höhn, et al.. (2018). Associations Between [18F]FDG-PET and Complex Histopathological Parameters Including Tumor Cell Count and Expression of KI 67, EGFR, VEGF, HIF-1α, and p53 in Head and Neck Squamous Cell Carcinoma. Molecular Imaging and Biology. 21(2). 368–374. 23 indexed citations
14.
15.
Surov, Alexey, Hans‐Jonas Meyer, Anne-Kathrin Höhn, et al.. (2018). Metabolo-volumetric parameters of 18F-FDG-PET can predict expression of EGFR and HIF 1alpha in uterine cervical cancer. Cancer Biomarkers. 24(1). 135–140. 6 indexed citations
16.
Surov, Alexey, Hans‐Jonas Meyer, Stefan Schob, et al.. (2017). Parameters of simultaneous 18F-FDG-PET/MRI predict tumor stage and several histopathological features in uterine cervical cancer. Oncotarget. 8(17). 28285–28296. 46 indexed citations
17.
Surov, Alexey, Hans‐Jonas Meyer, Anne-Kathrin Höhn, et al.. (2017). Correlations between intravoxel incoherent motion (IVIM) parameters and histological findings in rectal cancer: preliminary results. Oncotarget. 8(13). 21974–21983. 44 indexed citations
18.
Surov, Alexey, Patrick Stumpp, Hans‐Jonas Meyer, et al.. (2016). Simultaneous 18F-FDG-PET/MRI: Associations between diffusion, glucose metabolism and histopathological parameters in patients with head and neck squamous cell carcinoma. Oral Oncology. 58. 14–20. 58 indexed citations
19.
20.
Surov, Alexey, Hans‐Jonas Meyer, Matthias Gawlitza, et al.. (2016). Correlations Between DCE MRI and Histopathological Parameters in Head and Neck Squamous Cell Carcinoma. Translational Oncology. 10(1). 17–21. 52 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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