Julia Höhn

587 total citations
12 papers, 283 citations indexed

About

Julia Höhn is a scholar working on Electrical and Electronic Engineering, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Julia Höhn has authored 12 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Electrical and Electronic Engineering, 3 papers in Oncology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Julia Höhn's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Colorectal Cancer Screening and Detection (3 papers) and Power Line Communications and Noise (2 papers). Julia Höhn is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Colorectal Cancer Screening and Detection (3 papers) and Power Line Communications and Noise (2 papers). Julia Höhn collaborates with scholars based in Germany, Australia and Austria. Julia Höhn's co-authors include Andreas Herrlich, Robert Grosse, Thomas Gudermann, Titus J. Brinker, Jakob Nikolas Kather, Michael Hoffmeister, Elizabeth Alwers, Hermann Brenner, Eva Krieghoff‐Henning and Sara Kuntz and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and European Journal of Cancer.

In The Last Decade

Julia Höhn

12 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia Höhn Germany 6 88 84 61 59 45 12 283
Tetsuya Higuchi Japan 10 84 1.0× 30 0.4× 30 0.5× 102 1.7× 46 1.0× 46 306
Yujia Liu China 8 124 1.4× 59 0.7× 70 1.1× 44 0.7× 11 0.2× 23 353
Sayed Shahabuddin Hoseini United States 9 82 0.9× 175 2.1× 88 1.4× 41 0.7× 14 0.3× 17 401
Albert Güveniş Türkiye 9 219 2.5× 161 1.9× 85 1.4× 31 0.5× 73 1.6× 33 530
Xueke Zhao China 12 31 0.4× 65 0.8× 118 1.9× 27 0.5× 25 0.6× 33 306
Hongxia Shi China 8 22 0.3× 51 0.6× 45 0.7× 44 0.7× 22 0.5× 61 374
Qingyuan Zheng China 8 63 0.7× 88 1.0× 100 1.6× 46 0.8× 8 0.2× 32 323
Marvin Lerousseau France 9 241 2.7× 36 0.4× 12 0.2× 63 1.1× 31 0.7× 13 344
Eriko Fukui Japan 11 14 0.2× 89 1.1× 53 0.9× 38 0.6× 10 0.2× 43 583
Sherine Salama Canada 9 87 1.0× 59 0.7× 49 0.8× 126 2.1× 4 0.1× 15 320

Countries citing papers authored by Julia Höhn

Since Specialization
Citations

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

Fields of papers citing papers by Julia Höhn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Höhn

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

All Works

12 of 12 papers shown
1.
Voigt, Jens‐Uwe, Julia Höhn, Christian Schreiber, et al.. (2024). Conceptional Framework for the Objective Work-Related Quality of Life Measurement Through Multimodal Data Integration from Wearables and Digital Interaction. SHILAP Revista de lepidopterología. 40. 61–68. 1 indexed citations
2.
Höhn, Julia, Eva Krieghoff‐Henning, Jitendra Jonnagaddala, et al.. (2023). Colorectal cancer risk stratification on histological slides based on survival curves predicted by deep learning. npj Precision Oncology. 7(1). 98–98. 5 indexed citations
3.
Kuntz, Sara, Eva Krieghoff‐Henning, Jakob Nikolas Kather, et al.. (2021). Gastrointestinal cancer classification and prognostication from histology using deep learning: Systematic review. European Journal of Cancer. 155. 200–215. 116 indexed citations
4.
Kuntz, Sara, Julia Höhn, Tanja Jutzi, et al.. (2021). Deep learning can predict lymph node status directly from histology in colorectal cancer. European Journal of Cancer. 157. 464–473. 43 indexed citations
5.
6.
Kuhl, Dietmar, et al.. (2003). PAROLI(R)-a parallel optical link with 15 Gbit/s throughput in a 12-channel wide interconnection. 187–193. 1 indexed citations
7.
8.
Yalla, M., Mark Adamiak, A. Apostolov, et al.. (2002). Application of peer-to-peer communication for protective relaying. IEEE Transactions on Power Delivery. 17(2). 446–451. 35 indexed citations
9.
Grosse, Robert, et al.. (2000). Epidermal Growth Factor Receptor Tyrosine Kinase Mediates Ras Activation by Gonadotropin-releasing Hormone. Journal of Biological Chemistry. 275(16). 12251–12260. 58 indexed citations
10.
Höhn, Julia, et al.. (1998). Analog VLSI implementation of early vision edge detection with noise suppression and image segmentation. European Solid-State Circuits Conference. 304–307. 1 indexed citations
11.
Adamiak, Mark, Michael Conroy, Julia Höhn, et al.. (1995). A survey of optical channels for protective relaying practices and experience. IEEE Transactions on Power Delivery. 10(2). 647–658. 5 indexed citations
12.
Höhn, Julia, et al.. (1995). Power line carrier practices and experiences. IEEE Transactions on Power Delivery. 10(2). 639–646. 3 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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