Julia Heß

2.5k total citations · 1 hit paper
43 papers, 1.0k citations indexed

About

Julia Heß is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Julia Heß has authored 43 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 14 papers in Cancer Research and 9 papers in Oncology. Recurrent topics in Julia Heß's work include MicroRNA in disease regulation (7 papers), RNA modifications and cancer (7 papers) and Cancer-related Molecular Pathways (6 papers). Julia Heß is often cited by papers focused on MicroRNA in disease regulation (7 papers), RNA modifications and cancer (7 papers) and Cancer-related Molecular Pathways (6 papers). Julia Heß collaborates with scholars based in Germany, Switzerland and Austria. Julia Heß's co-authors include Kristian Unger, Horst Zitzelsberger, Herbert Braselmann, Claus Belka, Marcel G. A. van der Heijden, Kirsten Lauber, Natacha Bodenhausen, Klaus Schlaeppi, Gabriel Deslandes‐Hérold and Jan Waelchli and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Julia Heß

43 papers receiving 1.0k citations

Hit Papers

Soil microbiome indicator... 2023 2026 2024 2023 25 50 75

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Julia Heß 500 284 181 137 122 43 1.0k
Xinhui Zhou 498 1.0× 198 0.7× 171 0.9× 122 0.9× 102 0.8× 48 1.1k
Carl N. Sprung 752 1.5× 207 0.7× 210 1.2× 245 1.8× 149 1.2× 50 1.4k
Kai Xue 872 1.7× 436 1.5× 333 1.8× 140 1.0× 32 0.3× 104 1.7k
Suping Guo 498 1.0× 246 0.9× 275 1.5× 213 1.6× 105 0.9× 65 977
Francesco Morelli 633 1.3× 185 0.7× 96 0.5× 122 0.9× 39 0.3× 45 1.1k
Dennis R. Burholt 261 0.5× 162 0.6× 237 1.3× 105 0.8× 98 0.8× 39 1.0k
Eleanor I Ager 585 1.2× 226 0.8× 267 1.5× 160 1.2× 62 0.5× 26 1.2k
Mitali Das 670 1.3× 250 0.9× 129 0.7× 73 0.5× 94 0.8× 36 1.3k
Anna Genescà 970 1.9× 389 1.4× 195 1.1× 95 0.7× 250 2.0× 59 1.5k

Countries citing papers authored by Julia Heß

Since Specialization
Citations

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

Fields of papers citing papers by Julia Heß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Heß

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Heß. A scholar is included among the top collaborators of Julia Heß 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 Heß. Julia Heß 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.
Marschner, Sebastian, Cornelius Maihöfer, D. Reitz, et al.. (2024). Adjuvant (chemo)radiotherapy for patients with head and neck cancer: can comorbidity risk scores predict outcome?. Strahlentherapie und Onkologie. 200(12). 1025–1037. 1 indexed citations
2.
Lutz, Stefanie, Natacha Bodenhausen, Julia Heß, et al.. (2023). Soil microbiome indicators can predict crop growth response to large-scale inoculation with arbuscular mycorrhizal fungi. Nature Microbiology. 8(12). 2277–2289. 97 indexed citations breakdown →
3.
Stögbauer, Fabian, Kristian Unger, Julia Heß, et al.. (2023). A Novel Subgroup of UCHL1-Related Cancers Is Associated with Genomic Instability and Sensitivity to DNA-Damaging Treatment. Cancers. 15(6). 1655–1655. 1 indexed citations
4.
Heß, Julia, Christopher Kurz, Marco Riboldi, et al.. (2022). DeepClassPathway: Molecular pathway aware classification using explainable deep learning. European Journal of Cancer. 176. 41–49. 5 indexed citations
5.
Albrecht, Valérie, Nikko Brix, Daniel F. Fleischmann, et al.. (2022). Integrative analysis of therapy resistance and transcriptomic profiling data in glioblastoma cells identifies sensitization vulnerabilities for combined modality radiochemotherapy. Radiation Oncology. 17(1). 79–79. 7 indexed citations
6.
Weber, Peter, Theresa Heider, Mathias Heikenwälder, et al.. (2022). Simultaneous metabolite MALDI-MSI, whole exome and transcriptome analysis from formalin-fixed paraffin-embedded tissue sections. Laboratory Investigation. 102(12). 1400–1405. 12 indexed citations
7.
Barr, Samantha, Kirsten Lauber, Julia Heß, et al.. (2021). Metformin Protects against Radiation-Induced Acute Effects by Limiting Senescence of Bronchial-Epithelial Cells. International Journal of Molecular Sciences. 22(13). 7064–7064. 26 indexed citations
8.
Schoetz, Ulrike, Diana Klein, Julia Heß, et al.. (2021). Early senescence and production of senescence-associated cytokines are major determinants of radioresistance in head-and-neck squamous cell carcinoma. Cell Death and Disease. 12(12). 1162–1162. 46 indexed citations
9.
Orth, Michael, Valérie Albrecht, Kristian Unger, et al.. (2021). Inhibition of HSP90 as a Strategy to Radiosensitize Glioblastoma: Targeting the DNA Damage Response and Beyond. Frontiers in Oncology. 11. 612354–612354. 20 indexed citations
11.
Braselmann, Herbert, Ines Höfig, Kenji Schorpp, et al.. (2020). Transcriptome network of the papillary thyroid carcinoma radiation marker CLIP2. Radiation Oncology. 15(1). 182–182. 3 indexed citations
12.
Hirte, Juliane, Florian Walder, Julia Heß, et al.. (2020). Enhanced root carbon allocation through organic farming is restricted to topsoils. The Science of The Total Environment. 755(Pt 2). 143551–143551. 28 indexed citations
13.
Unger, Kristian, et al.. (2019). Direct conversion of human fibroblasts into therapeutically active vascular wall-typical mesenchymal stem cells. Cellular and Molecular Life Sciences. 77(17). 3401–3422. 18 indexed citations
14.
Baumeister, Philipp, Julia Kitz, Florian Simon, et al.. (2018). High Expression of EpCAM and Sox2 is a Positive Prognosticator of Clinical Outcome for Head and Neck Carcinoma. Scientific Reports. 8(1). 14582–14582. 29 indexed citations
17.
Groß, Claudia, Katja Steiger, Irina Heid, et al.. (2015). Model Matters: Differences in Orthotopic Rat Hepatocellular Carcinoma Physiology Determine Therapy Response to Sorafenib. Clinical Cancer Research. 21(19). 4440–4450. 24 indexed citations
18.
Braselmann, Herbert, et al.. (2015). CFAssay: statistical analysis of the colony formation assay. Radiation Oncology. 10(1). 223–223. 71 indexed citations
19.
Niyazi, Maximilian, Kristian Unger, Julia Heß, et al.. (2013). Changes in circulating microRNAs after radiochemotherapy in head and neck cancer patients. Radiation Oncology. 8(1). 102–102. 83 indexed citations
20.
Heß, Julia, Gerry Thomas, Herbert Braselmann, et al.. (2011). Gain of chromosome band 7q11 in papillary thyroid carcinomas of young patients is associated with exposure to low-dose irradiation. Proceedings of the National Academy of Sciences. 108(23). 9595–9600. 55 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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