Falk Schreiber

7.7k total citations
151 papers, 3.6k citations indexed

About

Falk Schreiber is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Biophysics. According to data from OpenAlex, Falk Schreiber has authored 151 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Molecular Biology, 49 papers in Computer Vision and Pattern Recognition and 13 papers in Biophysics. Recurrent topics in Falk Schreiber's work include Bioinformatics and Genomic Networks (62 papers), Data Visualization and Analytics (46 papers) and Microbial Metabolic Engineering and Bioproduction (40 papers). Falk Schreiber is often cited by papers focused on Bioinformatics and Genomic Networks (62 papers), Data Visualization and Analytics (46 papers) and Microbial Metabolic Engineering and Bioproduction (40 papers). Falk Schreiber collaborates with scholars based in Germany, Australia and United States. Falk Schreiber's co-authors include Christian Klukas, Björn H. Junker, Tobias Czauderna, Dirk Koschützki, Ali Masoudi‐Nejad, Anja Hartmann, Karsten Klein, Tim Dwyer, Nils Stein and Astrid Junker and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Falk Schreiber

140 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Falk Schreiber Germany 32 2.1k 683 544 342 259 151 3.6k
Alexander Lex United States 22 1.9k 0.9× 1.0k 1.5× 565 1.0× 200 0.6× 103 0.4× 58 4.7k
Ming Hao United States 26 2.4k 1.2× 560 0.8× 243 0.4× 127 0.4× 577 2.2× 126 5.1k
Hendrik Strobelt United States 20 1.1k 0.5× 690 1.0× 278 0.5× 84 0.2× 200 0.8× 46 3.1k
Simon Rogers United Kingdom 34 1.7k 0.8× 211 0.3× 342 0.6× 28 0.1× 231 0.9× 104 3.3k
Rosane Minghim Brazil 25 919 0.4× 1.1k 1.6× 290 0.5× 71 0.2× 103 0.4× 100 3.4k
Tijl De Bie Belgium 25 1.6k 0.8× 436 0.6× 618 1.1× 149 0.4× 201 0.8× 124 3.6k
Dick de Ridder Netherlands 37 2.7k 1.3× 565 0.8× 853 1.6× 73 0.2× 121 0.5× 170 6.0k
Zhenglu Yang China 19 1.2k 0.6× 276 0.4× 535 1.0× 60 0.2× 75 0.3× 82 3.1k
Guido Sanguinetti United Kingdom 37 2.6k 1.2× 252 0.4× 161 0.3× 54 0.2× 127 0.5× 135 4.2k
Boris Mirkin Russia 24 966 0.5× 563 0.8× 207 0.4× 238 0.7× 314 1.2× 94 3.1k

Countries citing papers authored by Falk Schreiber

Since Specialization
Citations

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

Fields of papers citing papers by Falk Schreiber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Falk Schreiber

This figure shows the co-authorship network connecting the top 25 collaborators of Falk Schreiber. A scholar is included among the top collaborators of Falk Schreiber 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 Falk Schreiber. Falk Schreiber 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.
Jaeger-Honz, Sabrina, et al.. (2025). Conformation and binding of 12 Microcystin (MC) congeners to PPP1 using molecular dynamics simulations: A potential approach in support of an improved MC risk assessment. Chemico-Biological Interactions. 407. 111372–111372. 1 indexed citations
2.
Pinaud, Bruno, et al.. (2024). Exploring animal behaviour multilayer networks in immersive environments – a conceptual framework. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 21(3). 1 indexed citations
3.
Zhao, Jinxin, Yu‐Wei Lin, Yan Zhu, et al.. (2024). PhageGE: an interactive web platform for exploratory analysis and visualization of bacteriophage genomes. GigaScience. 13. 3 indexed citations
4.
Jaeger-Honz, Sabrina, Karsten Klein, & Falk Schreiber. (2024). Systematic analysis, aggregation and visualisation of interaction fingerprints for molecular dynamics simulation data. Journal of Cheminformatics. 16(1). 28–28. 4 indexed citations
5.
Pinaud, Bruno, Stephen Kobourov, Michael Krone, et al.. (2023). 2D, 2.5D, or 3D? An Exploratory Study on Multilayer Network Visualisations in Virtual Reality. IEEE Transactions on Visualization and Computer Graphics. 30(1). 469–479. 4 indexed citations
6.
Cárdenas, Anny, et al.. (2023). Coracle—a machine learning framework to identify bacteria associated with continuous variables. Bioinformatics. 40(1). 6 indexed citations
7.
Schreiber, Falk. (2023). KESTNERGESELLSCHAFT HANNOVER. 14(7). 16–16.
8.
Schreiber, Falk. (2022). Sweet Dreams Are Made Of This. 63(7). 45–47.
9.
Waltemath, Dagmar, Martin Golebiewski, Michael L. Blinov, et al.. (2020). The first 10 years of the international coordination network for standards in systems and synthetic biology (COMBINE). Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 17(2-3). 15 indexed citations
10.
Yang, Kai, Bing Yuan, Mei‐Ling Han, et al.. (2020). Molecular dynamics simulations informed by membrane lipidomics reveal the structure–interaction relationship of polymyxins with the lipid A-based outer membrane of Acinetobacter baumannii. Journal of Antimicrobial Chemotherapy. 75(12). 3534–3543. 39 indexed citations
11.
12.
Klein, Karsten, Björn Sommer, Hieu T. Nim, et al.. (2019). Fly with the flock: immersive solutions for animal movement visualization and analytics. Journal of The Royal Society Interface. 16(153). 20180794–20180794. 20 indexed citations
13.
Delp, Johannes, Simon Gutbier, Christin Zasada, et al.. (2017). Stage-specific metabolic features of differentiating neurons: Implications for toxicant sensitivity. Toxicology and Applied Pharmacology. 354. 64–80. 23 indexed citations
14.
Schreiber, Falk, Gary D. Bader, Padraig Gleeson, et al.. (2016). Specifications of Standards in Systems and Synthetic Biology: Status and Developments in 2016. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 13(3). 1–7. 5 indexed citations
15.
Mi, Huaiyu, Falk Schreiber, Stuart Moodie, et al.. (2015). Systems Biology Graphical Notation: Activity Flow language Level 1 Version 1.2. PubMed. 12(2). 265–265. 19 indexed citations
16.
Weidemann, Wenke, Christian Klukas, Andreas Klein, et al.. (2009). Lessons from GNE-deficient embryonic stem cells: sialic acid biosynthesis is involved in proliferation and gene expression. Glycobiology. 20(1). 107–117. 37 indexed citations
17.
Schreiber, Falk, et al.. (2008). Analysis of Biological Networks (Wiley Series in Bioinformatics). Wiley-Interscience eBooks. 368–368. 21 indexed citations
18.
Koschützki, Dirk & Falk Schreiber. (2004). Comparison of centralities for biological networks. 199–206. 41 indexed citations
19.
Schreiber, Falk & Henning Schwöbbermeyer. (2004). Towards Motif Detection in Networks: Frequency Concepts and Flexible Search. 13 indexed citations
20.
Schreiber, Falk. (2003). Comparison of metabolic pathways using constraint graph drawing. 105–110. 14 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

Breakdown of academic impact, for papers by Alexander Lex Breakdown of academic impact, for papers by Ming Hao Breakdown of academic impact, for papers by Hendrik Strobelt Breakdown of academic impact, for papers by Simon Rogers Breakdown of academic impact, for papers by Rosane Minghim Breakdown of academic impact, for papers by Tijl De Bie Breakdown of academic impact, for papers by Dick de Ridder Breakdown of academic impact, for papers by Zhenglu Yang Breakdown of academic impact, for papers by Guido Sanguinetti Breakdown of academic impact, for papers by Boris Mirkin
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