Viktor Achter

4.8k total citations
10 papers, 427 citations indexed

About

Viktor Achter is a scholar working on Molecular Biology, Cancer Research and Computer Networks and Communications. According to data from OpenAlex, Viktor Achter has authored 10 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Computer Networks and Communications. Recurrent topics in Viktor Achter's work include Cancer Genomics and Diagnostics (3 papers), Lung Cancer Treatments and Mutations (2 papers) and Genomics and Phylogenetic Studies (2 papers). Viktor Achter is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), Lung Cancer Treatments and Mutations (2 papers) and Genomics and Phylogenetic Studies (2 papers). Viktor Achter collaborates with scholars based in Germany, United States and Austria. Viktor Achter's co-authors include Karen Meusemann, J. Wolfgang Wägele, Arndt von Haeseler, Thorsten Burmester, Sebastian Breuers, Björn M. von Reumont, Manfred Walzl, G. Pass, Ingo Ebersberger and Sabrina Simon and has published in prestigious journals such as PLoS ONE, Scientific Reports and Nature Protocols.

In The Last Decade

Viktor Achter

9 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Viktor Achter Germany	5	144	123	115	74	54	10	427
Barbara De Kegel Belgium	16	146 1.0×	46 0.4×	58 0.5×	25 0.3×	78 1.4×	41	557
Kyle A. O’Connell United States	15	115 0.8×	152 1.2×	75 0.7×	23 0.3×	27 0.5×	32	388
Fengxiang Liu China	12	150 1.0×	276 2.2×	107 0.9×	18 0.2×	53 1.0×	34	461
Bartley Brown United States	8	103 0.7×	25 0.2×	56 0.5×	23 0.3×	8 0.1×	13	349
Max Shpak United States	16	210 1.5×	306 2.5×	164 1.4×	24 0.3×	8 0.1×	41	697
Michael Schöniger Germany	11	335 2.3×	188 1.5×	63 0.5×	40 0.5×	65 1.2×	15	461
Erik Lehnert United States	14	299 2.1×	45 0.4×	43 0.4×	35 0.5×	130 2.4×	20	948
Daniel Hughes United States	11	369 2.6×	227 1.8×	58 0.5×	5 0.1×	24 0.4×	14	659
Marianne Barrier United States	12	405 2.8×	213 1.7×	177 1.5×	24 0.3×	16 0.3×	14	687

Countries citing papers authored by Viktor Achter

Since Specialization

Citations

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

Fields of papers citing papers by Viktor Achter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Viktor Achter

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

All Works

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10 of 10 papers shown

1.

Kessler, Robert R., et al.. (2025). Evaluating Trusted Execution Environment Performance for Genome Sequence Alignment: An AMD SEV Case Study. 1951–1958.

2.

Schömig‐Markiefka, Birgid, Alexey Pryalukhin, Wolfgang Hulla, et al.. (2021). Quality control stress test for deep learning-based diagnostic model in digital pathology. Modern Pathology. 34(12). 2098–2108. 84 indexed citations

3.

Cartolano, Maria, Nima Abedpour, Viktor Achter, et al.. (2020). CaMuS: simultaneous fitting and de novo imputation of cancer mutational signature. Scientific Reports. 10(1). 19316–19316. 6 indexed citations

4.

Maas, Lukas, Scott Thiebes, Ulrich Lang, et al.. (2019). iRODS metadata management for a cancer genome analysis workflow. BMC Bioinformatics. 20(1). 29–29. 4 indexed citations

5.

Cun, Yupeng, Tsun-Po Yang, Viktor Achter, Ulrich Lang, & Martin Peifer. (2018). Copy-number analysis and inference of subclonal populations in cancer genomes using Sclust. Nature Protocols. 13(6). 1488–1501. 38 indexed citations

6.

Kawalia, Amit, Susanne Motameny, Hölger Thiele, et al.. (2015). Leveraging the Power of High Performance Computing for Next Generation Sequencing Data Analysis: Tricks and Twists from a High Throughput Exome Workflow. PLoS ONE. 10(5). e0126321–e0126321. 22 indexed citations

7.

Meusemann, Karen, Björn M. von Reumont, Sabrina Simon, et al.. (2010). A Phylogenomic Approach to Resolve the Arthropod Tree of Life. Molecular Biology and Evolution. 27(11). 2451–2464. 267 indexed citations

8.

Achter, Viktor, et al.. (2009). Nachhaltigkeitsstrategien bei der Entwicklung eines Lernportals im D-Grid.. 43–54. 1 indexed citations

9.

Müller, Paul, et al.. (2009). SuGI - Portal and Training Systems for Grid Middlewares. 585–591. 1 indexed citations

10.

Achter, Viktor. (1951). Geburt der Strafe. Klostermann eBooks. 4 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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