Armin Graber

1.6k total citations
44 papers, 854 citations indexed

About

Armin Graber is a scholar working on Molecular Biology, Spectroscopy and Computational Theory and Mathematics. According to data from OpenAlex, Armin Graber has authored 44 papers receiving a total of 854 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 11 papers in Spectroscopy and 9 papers in Computational Theory and Mathematics. Recurrent topics in Armin Graber's work include Computational Drug Discovery Methods (9 papers), Bioinformatics and Genomic Networks (9 papers) and Advanced Proteomics Techniques and Applications (7 papers). Armin Graber is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Bioinformatics and Genomic Networks (9 papers) and Advanced Proteomics Techniques and Applications (7 papers). Armin Graber collaborates with scholars based in Austria, United States and United Kingdom. Armin Graber's co-authors include Matthias Dehmer, Karl Kugler, Klaus M. Weinberger, Christian Baumgärtner, Steven L. Ramsay, Nicola Barbarini, Курт Вармуза, Raji Balasubramanian, Karsten Suhre and Elisabeth Altmaier and has published in prestigious journals such as Journal of Clinical Oncology, Bioinformatics and PLoS ONE.

In The Last Decade

Armin Graber

42 papers receiving 832 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Armin Graber Austria 17 507 137 135 134 93 44 854
Monica Nicolau United States 15 862 1.7× 76 0.6× 223 1.7× 97 0.7× 60 0.6× 24 1.5k
Anaı̈s Baudot France 20 1.1k 2.2× 26 0.2× 211 1.6× 138 1.0× 104 1.1× 54 1.6k
E. Becker France 18 545 1.1× 18 0.1× 64 0.5× 35 0.3× 28 0.3× 66 934
Andrej Bugrim United States 18 935 1.8× 76 0.6× 277 2.1× 54 0.4× 75 0.8× 23 1.5k
Max Kotlyar Canada 20 1.1k 2.2× 78 0.6× 221 1.6× 87 0.6× 93 1.0× 49 1.6k
Seth Berger United States 18 1.2k 2.4× 19 0.1× 369 2.7× 93 0.7× 139 1.5× 44 1.8k
C.D. Thron United States 18 580 1.1× 39 0.3× 15 0.1× 61 0.5× 89 1.0× 48 1.0k
Igor Rodchenkov Canada 8 959 1.9× 33 0.2× 176 1.3× 41 0.3× 29 0.3× 10 1.1k
Giovanni Paternostro United States 19 1.0k 2.0× 104 0.8× 113 0.8× 87 0.6× 129 1.4× 41 1.7k
Vladislav Vyshemirsky United Kingdom 13 668 1.3× 27 0.2× 145 1.1× 24 0.2× 57 0.6× 30 959

Countries citing papers authored by Armin Graber

Since Specialization
Citations

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

Fields of papers citing papers by Armin Graber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Armin Graber

This figure shows the co-authorship network connecting the top 25 collaborators of Armin Graber. A scholar is included among the top collaborators of Armin Graber 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 Armin Graber. Armin Graber 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.
Ostrowski, Daniela, Cheryl M. Heesch, A. R. Hollenbeck, et al.. (2025). The development but not the maintenance of phrenic and sympathetic long-term facilitation after acute intermittent hypoxia requires nucleus tractus solitarii H2O2. Experimental Neurology. 393. 115380–115380.
2.
Im, Hogune, Varsha Rao, Kunju Sridhar, et al.. (2018). Distinct transcriptomic and exomic abnormalities within myelodysplastic syndrome marrow cells. Leukemia & lymphoma. 59(12). 2952–2962. 9 indexed citations
3.
Graber, Armin, et al.. (2016). MUMAL2: Improving sensitivity in shotgun proteomics using cost sensitive artificial neural networks and a threshold selector algorithm. BMC Bioinformatics. 17(S18). 472–472. 4 indexed citations
4.
Dander, Andreas, et al.. (2013). [COMMODE] a large-scale database of molecular descriptors using compounds from PubChem. PubMed. 8(1). 22–22. 2 indexed citations
5.
Netzer, Michael, Karl Kugler, Klaus M. Weinberger, et al.. (2012). A network-based feature selection approach to identify metabolic signatures in disease. Journal of Theoretical Biology. 310. 216–222. 12 indexed citations
6.
Kugler, Karl, et al.. (2011). A network-based approach to classify the three domains of life. Biology Direct. 6(1). 53–53. 14 indexed citations
7.
Kugler, Karl, et al.. (2011). The impact of sample storage time on estimates of association in biomarker discovery studies. PubMed. 1(1). 9–9. 30 indexed citations
8.
Netzer, Michael, Klaus M. Weinberger, Michael Handler, et al.. (2011). Profiling the human response to physical exercise: a computational strategy for the identification and kinetic analysis of metabolic biomarkers. PubMed. 1(1). 34–34. 34 indexed citations
9.
Kugler, Karl, et al.. (2011). Integrative Network Biology: Graph Prototyping for Co-Expression Cancer Networks. PLoS ONE. 6(7). e22843–e22843. 21 indexed citations
10.
Kugler, Karl, et al.. (2010). A Network-based Approach to Classify Disease Stages of Prostate Cancer Using Quantitative Network Measures. International Conference on Bioinformatics. 55–61. 3 indexed citations
11.
Dehmer, Matthias, et al.. (2010). New Polynomial-Based Molecular Descriptors with Low Degeneracy. PLoS ONE. 5(7). e11393–e11393. 14 indexed citations
12.
Kugler, Karl, et al.. (2010). MADAM - An open source meta-analysis toolbox for R and Bioconductor. PubMed. 5(1). 3–3. 16 indexed citations
13.
Kugler, Karl, et al.. (2010). A Novel Majority Vote Count Algorithm for Integrative Analysis of Association Networks.. 52(1). 62–67. 2 indexed citations
14.
Guo, Yu, Armin Graber, Robert McBurney, & Raji Balasubramanian. (2010). Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification algorithms. BMC Bioinformatics. 11(1). 447–447. 58 indexed citations
15.
Balasubramanian, Raji, Karl Kugler, Werner O. Hackl, et al.. (2010). The impact of storage effects in biobanks on biomarker discovery in systems biology studies. Biomarkers. 15(8). 677–683. 8 indexed citations
16.
Modre‐Osprian, Robert, Ingrid Osprian, B. Tilg, et al.. (2009). Dynamic simulations on the mitochondrial fatty acid Beta-oxidation network. BMC Systems Biology. 3(1). 2–2. 28 indexed citations
17.
Eibl, Günther, Katussevani Bernardo, Therese Koal, et al.. (2008). Isotope correction of mass spectrometry profiles. Rapid Communications in Mass Spectrometry. 22(14). 2248–2252. 16 indexed citations
18.
19.
Parker, Kenneth C., Dale H. Patterson, B. Williamson, et al.. (2004). Depth of Proteome Issues. Molecular & Cellular Proteomics. 3(7). 625–659. 33 indexed citations
20.
Graber, Armin, et al.. (1970). [Extracapsular tonsillectomy under general anesthesia].. PubMed. 89(9). 568–79. 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.

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