Hendrik Hache

671 total citations
9 papers, 409 citations indexed

About

Hendrik Hache is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Hendrik Hache has authored 9 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Oncology and 1 paper in Epidemiology. Recurrent topics in Hendrik Hache's work include Gene Regulatory Network Analysis (6 papers), Bioinformatics and Genomic Networks (3 papers) and Hedgehog Signaling Pathway Studies (2 papers). Hendrik Hache is often cited by papers focused on Gene Regulatory Network Analysis (6 papers), Bioinformatics and Genomic Networks (3 papers) and Hedgehog Signaling Pathway Studies (2 papers). Hendrik Hache collaborates with scholars based in Germany, Austria and United States. Hendrik Hache's co-authors include Hans Lehrach, Christoph Wierling, Ralf Herwig, Wilfried Nietfeld, Markus Eberl, Fritz Aberger, T. Keßler, Stefan Klingler, Flavio Solca and Monique Verhaegen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Hendrik Hache

9 papers receiving 402 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hendrik Hache Germany	9	357	70	48	46	30	9	409
Philip Stegmaier Germany	13	304 0.9×	53 0.8×	70 1.5×	25 0.5×	34 1.1×	21	498
Simona Frigerio Italy	11	184 0.5×	156 2.2×	76 1.6×	30 0.7×	17 0.6×	17	325
Dale A. Begley United States	9	225 0.6×	70 1.0×	76 1.6×	70 1.5×	13 0.4×	16	380
Leandra Sepe Italy	8	198 0.6×	44 0.6×	33 0.7×	26 0.6×	10 0.3×	18	312
Nicole Kreuzberg Germany	6	175 0.5×	149 2.1×	39 0.8×	16 0.3×	32 1.1×	12	291
Christoph Ogris Sweden	9	491 1.4×	83 1.2×	140 2.9×	36 0.8×	31 1.0×	14	634
Sarah‐Jane Schramm Australia	9	342 1.0×	230 3.3×	127 2.6×	17 0.4×	36 1.2×	12	459
Clare Pacini United Kingdom	11	317 0.9×	63 0.9×	67 1.4×	40 0.9×	58 1.9×	13	424
Anoosheh Ebaee United States	4	233 0.7×	132 1.9×	51 1.1×	62 1.3×	22 0.7×	6	365
Jessica C. Walrath United States	7	137 0.4×	86 1.2×	67 1.4×	34 0.7×	12 0.4×	7	334

Countries citing papers authored by Hendrik Hache

Since Specialization

Citations

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

Fields of papers citing papers by Hendrik Hache

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hendrik Hache

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

All Works

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9 of 9 papers shown

Fröhlich, Fabian, T. Keßler, Daniel Weindl, et al.. (2018). Efficient Parameter Estimation Enables the Prediction of Drug Response Using a Mechanistic Pan-Cancer Pathway Model. Cell Systems. 7(6). 567–579.e6. 84 indexed citations

Pandey, Vikash, Marc Sultan, Karl Kashofer, et al.. (2014). Comparative Analysis and Modeling of the Severity of Steatohepatitis in DDC-Treated Mouse Strains. PLoS ONE. 9(10). e111006–e111006. 10 indexed citations

Keßler, T., Hendrik Hache, & Christoph Wierling. (2013). Integrative Analysis of Cancer-Related Signaling Pathways. Frontiers in Physiology. 4. 124–124. 10 indexed citations

Berg, Daniela, Wolfgang Gruber, Christian Bender, et al.. (2013). Synergism between Hedgehog-GLI and EGFR Signaling in Hedgehog-Responsive Human Medulloblastoma Cells Induces Downregulation of Canonical Hedgehog-Target Genes and Stabilized Expression of GLI1. PLoS ONE. 8(6). e65403–e65403. 63 indexed citations

Eberl, Markus, Stefan Klingler, Doris Mangelberger, et al.. (2012). Hedgehog‐EGFR cooperation response genes determine the oncogenic phenotype of basal cell carcinoma and tumour‐initiating pancreatic cancer cells. EMBO Molecular Medicine. 4(3). 218–233. 131 indexed citations

Wierling, Christoph, Alexander Kühn, Hendrik Hache, et al.. (2012). Prediction in the face of uncertainty: A Monte Carlo-based approach for systems biology of cancer treatment. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 746(2). 163–170. 20 indexed citations

Hache, Hendrik, Christoph Wierling, Hans Lehrach, & Ralf Herwig. (2009). GeNGe: systematic generation of gene regulatory networks. Bioinformatics. 25(9). 1205–1207. 27 indexed citations

Hache, Hendrik, Hans Lehrach, & Ralf Herwig. (2009). Reverse Engineering of Gene Regulatory Networks: A Comparative Study. SHILAP Revista de lepidopterología. 2009(1). 617281–617281. 55 indexed citations

Hache, Hendrik, Christoph Wierling, Hans Lehrach, & Ralf Herwig. (2007). Reconstruction and validation of gene regulatory networks with neural networks. Max Planck Institute for Plasma Physics. 9 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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