Hans Binder

23.5k total citations · 1 hit paper
184 papers, 5.0k citations indexed

About

Hans Binder is a scholar working on Molecular Biology, Organic Chemistry and Cancer Research. According to data from OpenAlex, Hans Binder has authored 184 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 138 papers in Molecular Biology, 18 papers in Organic Chemistry and 14 papers in Cancer Research. Recurrent topics in Hans Binder's work include Lipid Membrane Structure and Behavior (41 papers), Gene expression and cancer classification (36 papers) and Single-cell and spatial transcriptomics (21 papers). Hans Binder is often cited by papers focused on Lipid Membrane Structure and Behavior (41 papers), Gene expression and cancer classification (36 papers) and Single-cell and spatial transcriptomics (21 papers). Hans Binder collaborates with scholars based in Germany, Armenia and United States. Hans Binder's co-authors include Henry Loeffler‐Wirth, Olaf Zschörnig, Heiko Heerklotz, G. Klose, Göran Lindblom, Klaus Gawrisch, Gabriela Lantzsch, Stephan Preibisch, Klaus Arnold and Lydia Hopp and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Hans Binder

179 papers receiving 4.9k citations

Hit Papers

Multilineage communication regulates human liver bud deve... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hans Binder Germany 38 3.6k 599 492 400 312 184 5.0k
Sandro Keller Germany 41 3.7k 1.0× 327 0.5× 756 1.5× 456 1.1× 236 0.8× 165 5.5k
Frank Stahl Germany 43 2.3k 0.6× 380 0.6× 706 1.4× 1.2k 2.9× 163 0.5× 143 6.1k
Chitrangada Acharya India 17 3.6k 1.0× 733 1.2× 774 1.6× 955 2.4× 155 0.5× 21 7.0k
Ricardo L. Mancera Australia 35 2.5k 0.7× 473 0.8× 622 1.3× 279 0.7× 164 0.5× 150 4.3k
David C. Turner United States 42 3.0k 0.8× 340 0.6× 490 1.0× 425 1.1× 261 0.8× 123 5.5k
Sushmita Mukherjee United States 34 3.5k 1.0× 338 0.6× 297 0.6× 668 1.7× 351 1.1× 74 5.6k
Tiziana Parasassi Italy 35 3.7k 1.0× 921 1.5× 789 1.6× 391 1.0× 302 1.0× 80 5.6k
Franca Fraternali United Kingdom 38 2.8k 0.8× 247 0.4× 285 0.6× 144 0.4× 396 1.3× 155 4.2k
Rhoderick E. Brown United States 43 5.0k 1.4× 445 0.7× 656 1.3× 308 0.8× 344 1.1× 119 6.1k
Juha M. Holopainen Finland 44 2.7k 0.8× 372 0.6× 628 1.3× 466 1.2× 184 0.6× 137 6.1k

Countries citing papers authored by Hans Binder

Since Specialization
Citations

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

Fields of papers citing papers by Hans Binder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hans Binder

This figure shows the co-authorship network connecting the top 25 collaborators of Hans Binder. A scholar is included among the top collaborators of Hans Binder 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 Hans Binder. Hans Binder 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.
Schmidt, Maria, Carolyn J. Schultz, Henry Loeffler‐Wirth, et al.. (2025). Single‐cell transcriptomics and epigenomics point to CD58‐CD2 interaction in controlling primary melanoma growth and immunity. Cancer Communications. 45(4). 465–470.
2.
Binder, Hans, et al.. (2024). Unveiling Iso- and Aniso-Hydric Disparities in Grapevine—A Reanalysis by Transcriptome Portrayal Machine Learning. Plants. 13(17). 2501–2501. 3 indexed citations
3.
Binder, Hans, et al.. (2024). Pan-cancer analysis of telomere maintenance mechanisms. Journal of Biological Chemistry. 300(6). 107392–107392. 3 indexed citations
4.
Reiche, Kristin, et al.. (2024). A Spatial Transcriptomics Browser for Discovering Gene Expression Landscapes across Microscopic Tissue Sections. Current Issues in Molecular Biology. 46(5). 4701–4720. 2 indexed citations
5.
Loeffler‐Wirth, Henry, Mohamed Uduman, Dhan Chand, et al.. (2023). Transcriptomic Maps of Colorectal Liver Metastasis: Machine Learning of Gene Activation Patterns and Epigenetic Trajectories in Support of Precision Medicine. Cancers. 15(15). 3835–3835. 5 indexed citations
6.
Duca, Ester Del, Ying Liu, Lena Sünke Mortensen, et al.. (2023). Repurposing DPP4 Inhibition to Improve Hair Follicle Activation and Regeneration. Journal of Investigative Dermatology. 143(11). 2132–2144.e15. 3 indexed citations
7.
Arakelyan, Arsen, et al.. (2023). Machine learned-based visualization of the diversity of grapevine genomes worldwide and in Armenia using SOMmelier. SHILAP Revista de lepidopterología. 68. 1009–1009. 1 indexed citations
8.
Loeffler‐Wirth, Henry, et al.. (2022). The Transcriptome and Methylome of the Developing and Aging Brain and Their Relations to Gliomas and Psychological Disorders. Cells. 11(3). 362–362. 5 indexed citations
9.
Loeffler‐Wirth, Henry, et al.. (2022). Classifying Germinal Center Derived Lymphomas—Navigate a Complex Transcriptional Landscape. Cancers. 14(14). 3434–3434. 10 indexed citations
10.
Binder, Hans, et al.. (2022). Integrated Multi-Omics Maps of Lower-Grade Gliomas. Cancers. 14(11). 2797–2797. 7 indexed citations
11.
Arakelyan, Arsen, et al.. (2021). Transcriptome Patterns of BRCA1- and BRCA2- Mutated Breast and Ovarian Cancers. International Journal of Molecular Sciences. 22(3). 1266–1266. 11 indexed citations
12.
Loeffler‐Wirth, Henry, et al.. (2020). oposSOM-Browser: an interactive tool to explore omics data landscapes in health science. BMC Bioinformatics. 21(1). 14 indexed citations
13.
Binder, Hans, et al.. (2020). The aging human body shape. SHILAP Revista de lepidopterología. 6(1). 5–5. 20 indexed citations
14.
Arakelyan, Arsen, et al.. (2019). Transcriptome-Guided Drug Repositioning. Pharmaceutics. 11(12). 677–677. 14 indexed citations
15.
Loeffler‐Wirth, Henry, Mandy Vogel, Toralf Kirsten, et al.. (2018). Longitudinal anthropometry of children and adolescents using 3D-body scanning. PLoS ONE. 13(9). e0203628–e0203628. 7 indexed citations
16.
Loeffler‐Wirth, Henry, Mandy Vogel, Toralf Kirsten, et al.. (2017). Body typing of children and adolescents using 3D-body scanning. PLoS ONE. 12(10). e0186881–e0186881. 9 indexed citations
17.
Binder, Hans, Lydia Steiner, Jens Przybilla, et al.. (2013). Transcriptional regulation by histone modifications: towards a theory of chromatin re-organization during stem cell differentiation. Physical Biology. 10(2). 26006–26006. 40 indexed citations
18.
Fasold, Mario, David Langenberger, Hans Binder, Peter F. Stadler, & Steve Hoffmann. (2011). DARIO: a ncRNA detection and analysis tool for next-generation sequencing experiments. Nucleic Acids Research. 39(suppl_2). W112–W117. 66 indexed citations
19.
Binder, Hans & Göran Lindblom. (2003). Charge-Dependent Translocation of the Trojan Peptide Penetratin across Lipid Membranes. Biophysical Journal. 85(2). 982–995. 176 indexed citations
20.
Haidinger, Gerald, Hans Binder, & Michael Kunze. (1992). [Epidemiologic progression of dementia diseases in Austria until the year 2050].. PubMed. 54(4). 162–6. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026