Christian Haslinger

1.8k total citations
15 papers, 1.1k citations indexed

About

Christian Haslinger is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Christian Haslinger has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Christian Haslinger's work include Gene expression and cancer classification (4 papers), Bioinformatics and Genomic Networks (3 papers) and Melanoma and MAPK Pathways (3 papers). Christian Haslinger is often cited by papers focused on Gene expression and cancer classification (4 papers), Bioinformatics and Genomic Networks (3 papers) and Melanoma and MAPK Pathways (3 papers). Christian Haslinger collaborates with scholars based in Austria, Germany and United States. Christian Haslinger's co-authors include Pilar Garin‐Chesa, Anke Baum, Lukas Kenner, Vukoslav Komnenovic, Günther R. Adolf, Jens Quant, Dorothea Rudolph, Norbert Schweifer, Matthias Hoffmann and Matthias Grauert and has published in prestigious journals such as Nature Genetics, Bioinformatics and Cancer Research.

In The Last Decade

Christian Haslinger

15 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christian Haslinger Austria	9	775	308	231	161	113	15	1.1k
Aidan G. Gilmartin United States	12	902 1.2×	544 1.8×	244 1.1×	133 0.8×	119 1.1×	28	1.2k
Scott Rosenberg United States	11	1.1k 1.4×	357 1.2×	252 1.1×	145 0.9×	68 0.6×	13	1.3k
Fiona E. Hood United Kingdom	15	1.0k 1.3×	359 1.2×	427 1.8×	140 0.9×	71 0.6×	16	1.3k
Murray J. Towle United States	17	440 0.6×	509 1.7×	162 0.7×	119 0.7×	76 0.7×	24	1.1k
David Batt United States	14	944 1.2×	411 1.3×	96 0.4×	166 1.0×	148 1.3×	21	1.3k
Caroline B. Ho United States	10	1.6k 2.0×	405 1.3×	92 0.4×	147 0.9×	114 1.0×	15	1.9k
Adam Shutes United States	16	847 1.1×	186 0.6×	312 1.4×	104 0.6×	48 0.4×	19	1.2k
Lance Liotta United States	10	449 0.6×	254 0.8×	227 1.0×	179 1.1×	48 0.4×	14	818
Joan MacNeill United States	6	841 1.1×	303 1.0×	123 0.5×	135 0.8×	67 0.6×	6	1.1k
Sean Caenepeel United States	16	817 1.1×	433 1.4×	108 0.5×	145 0.9×	99 0.9×	22	1.3k

Countries citing papers authored by Christian Haslinger

Since Specialization

Citations

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

Fields of papers citing papers by Christian Haslinger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Haslinger

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

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

Alanis‐Lobato, Gregorio, et al.. (2022). Knowledge Graphs for Indication Expansion: An Explainable Target-Disease Prediction Method. Frontiers in Genetics. 13. 814093–814093. 4 indexed citations

Bauer, Markus, et al.. (2021). Coral: a web-based visual analysis tool for creating and characterizing cohorts. Bioinformatics. 37(23). 4559–4561. 2 indexed citations

Kaymaz, Yasin, et al.. (2021). HieRFIT: a hierarchical cell type classification tool for projections from complex single-cell atlas datasets. Bioinformatics. 37(23). 4431–4436. 6 indexed citations

Wernitznig, Andreas, Jesse Lipp, Thomas Zichner, et al.. (2020). Abstract 3227: CLIFF, a bioinformatics software tool to explore molecular differences between two sets of cancer cell lines. Cancer Research. 80(16_Supplement). 3227–3227. 2 indexed citations

Streit, Marc, Samuel Gratzl, Holger Stitz, et al.. (2019). Ordino: a visual cancer analysis tool for ranking and exploring genes, cell lines and tissue samples. Bioinformatics. 35(17). 3140–3142. 8 indexed citations

Hilberg, Frank, Ulrike Tontsch-Grunt, Anke Baum, et al.. (2017). Triple Angiokinase Inhibitor Nintedanib Directly Inhibits Tumor Cell Growth and Induces Tumor Shrinkage via Blocking Oncogenic Receptor Tyrosine Kinases. Journal of Pharmacology and Experimental Therapeutics. 364(3). 494–503. 90 indexed citations

Waizenegger, Irene C., Anke Baum, Steffen Steurer, et al.. (2016). A Novel RAF Kinase Inhibitor with DFG-Out–Binding Mode: High Efficacy in BRAF-Mutant Tumor Xenograft Models in the Absence of Normal Tissue Hyperproliferation. Molecular Cancer Therapeutics. 15(3). 354–365. 68 indexed citations

Sini, Patrizia, Ulrich Gürtler, Stephan K. Zahn, et al.. (2016). Pharmacological Profile of BI 847325, an Orally Bioavailable, ATP-Competitive Inhibitor of MEK and Aurora Kinases. Molecular Cancer Therapeutics. 15(10). 2388–2398. 28 indexed citations

Schweifer, Norbert, Andreas Baierl, Wolfgang Sommergruber, et al.. (2013). Integrative analysis of prostate cancer aggressiveness. The Prostate. 73(13). 1413–1426. 15 indexed citations

10.

Hirt, Ulrich A., et al.. (2012). 469 E-cadherin Expression Predicts Response of Carcinomas to Treatment with PTK2 Inhibitors. European Journal of Cancer. 48. 145–145. 1 indexed citations

11.

Agrelo, Rubén, Abdallah Souabni, Maria Novatchkova, et al.. (2009). SATB1 Defines the Developmental Context for Gene Silencing by Xist in Lymphoma and Embryonic Cells. Developmental Cell. 16(4). 507–516. 153 indexed citations

12.

Rudolph, Dorothea, Martin Steegmaier, Matthias Hoffmann, et al.. (2009). BI 6727, A Polo-like Kinase Inhibitor with Improved Pharmacokinetic Profile and Broad Antitumor Activity. Clinical Cancer Research. 15(9). 3094–3102. 322 indexed citations

13.

Hui, Lijian, Latifa Bakiri, Norbert Schweifer, et al.. (2007). p38α suppresses normal and cancer cell proliferation by antagonizing the JNK–c-Jun pathway. Nature Genetics. 39(6). 741–749. 299 indexed citations

14.

Haslinger, Christian. (2001). Prediction Algorithms for Restricted RNA Pseudoknots. 6 indexed citations

15.

Haslinger, Christian. (1999). RNA Structures with Pseudo-knots: Graph-theoretical, Combinatorial, and Statistical Properties. Bulletin of Mathematical Biology. 61(3). 437–467. 71 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