Falk Schreiber

1.8k total citations
34 papers, 1.1k citations indexed

About

Falk Schreiber is a scholar working on Molecular Biology, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Falk Schreiber has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 6 papers in Biomedical Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Falk Schreiber's work include Microbial Metabolic Engineering and Bioproduction (15 papers), Bioinformatics and Genomic Networks (14 papers) and Gene Regulatory Network Analysis (13 papers). Falk Schreiber is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (15 papers), Bioinformatics and Genomic Networks (14 papers) and Gene Regulatory Network Analysis (13 papers). Falk Schreiber collaborates with scholars based in Germany, United States and Australia. Falk Schreiber's co-authors include Dirk Koschützki, Henning Schwöbbermeyer, Eva Grafahrend‐Belau, Björn H. Junker, Christian Klukas, Hardy Rolletschek, Ljudmilla Borisjuk, Tim Dwyer, Anja Hartmann and Ruslana Radchuk and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and The Plant Cell.

In The Last Decade

Falk Schreiber

32 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
Falk Schreiber Germany	16	725	249	133	120	112	34	1.1k
Björn H. Junker Germany	19	1.1k 1.6×	345 1.4×	45 0.3×	226 1.9×	39 0.3×	46	1.5k
Fabien Jourdan France	20	751 1.0×	67 0.3×	74 0.6×	84 0.7×	87 0.8×	55	1.2k
Dirk Koschützki Germany	12	572 0.8×	78 0.3×	142 1.1×	75 0.6×	64 0.6×	18	805
Tamer Kahveci United States	22	1.0k 1.4×	144 0.6×	69 0.5×	46 0.4×	134 1.2×	121	1.6k
Xiaohui Cheng China	21	442 0.6×	522 2.1×	26 0.2×	25 0.2×	111 1.0×	134	1.3k
Merja Oja Finland	15	533 0.7×	162 0.7×	12 0.1×	279 2.3×	100 0.9×	24	931
Alberto Paccanaro United Kingdom	21	1.9k 2.6×	232 0.9×	102 0.8×	34 0.3×	55 0.5×	45	2.6k
Eamonn Maguire United Kingdom	12	765 1.1×	61 0.2×	18 0.1×	83 0.7×	220 2.0×	20	1.2k
Chris Rawlings United Kingdom	22	971 1.3×	379 1.5×	11 0.1×	40 0.3×	31 0.3×	82	1.5k

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

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

20 of 20 papers shown

Hartmann, Anja, et al.. (2013). Elementary Flux Modes, Flux Balance Analysis, and Their Application to Plant Metabolism. Methods in molecular biology. 1083. 231–252. 5 indexed citations

Schreiber, Falk, et al.. (2012). Nutrilyzer: A Tool for Deciphering Atomic Stoichiometry of Differentially Expressed Paralogous Proteins. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 9(2). 46–52.

Lange, Matthias, et al.. (2012). IDPredictor: predict database links in biomedical database. PubMed. 9(2). 190–190. 3 indexed citations

Hartmann, Anja, et al.. (2012). FluxMap: A VANTED add-on for the visual exploration of flux distributions in biological networks. BMC Systems Biology. 6(1). 33–33. 29 indexed citations

Müller, Johannes, et al.. (2012). ProNet-CN model: A dynamic and multi-scale process network combining photosynthesis, primary carbon metabolism and effects of leaf nitrogen status. 5 indexed citations

Melkus, Gerd, Hardy Rolletschek, Johannes Fuchs, et al.. (2011). Dynamic ¹³C/¹H NMR imaging uncovers sugar allocation in the living seed. Plant Biotechnology Journal. 9(9). 1022–1037. 61 indexed citations

Rolletschek, Hardy, Gerd Melkus, Eva Grafahrend‐Belau, et al.. (2011). Combined Noninvasive Imaging and Modeling Approaches Reveal Metabolic Compartmentation in the Barley Endosperm . The Plant Cell. 23(8). 3041–3054. 61 indexed citations

Colmsee, Christian, Tobias Czauderna, Eva Grafahrend‐Belau, et al.. (2010). Novel Developments of the MetaCrop Information System for Facilitating Systems Biological Approaches. PubMed. 7(3). 3 indexed citations

Scharfe, Michael, Rainer Pielot, & Falk Schreiber. (2010). Fast multi-core based multimodal registration of 2D cross-sections and 3D datasets. BMC Bioinformatics. 11(1). 20–20. 4 indexed citations

10.

Grafahrend‐Belau, Eva, Christian Klukas, Björn H. Junker, & Falk Schreiber. (2009). FBA-SimVis: interactive visualization of constraint-based metabolic models. Bioinformatics. 25(20). 2755–2757. 41 indexed citations

11.

Wheelock, Craig E., Susumu Goto, Laxman Yetukuri, et al.. (2009). Bioinformatics Strategies for the Analysis of Lipids. Humana Press eBooks. 580. 339–368. 22 indexed citations

12.

Grafahrend‐Belau, Eva, Falk Schreiber, Dirk Koschützki, & Björn H. Junker. (2008). Flux Balance Analysis of Barley Seeds: A Computational Approach to Study Systemic Properties of Central Metabolism . PLANT PHYSIOLOGY. 149(1). 585–598. 129 indexed citations

13.

Koschützki, Dirk & Falk Schreiber. (2008). Centrality Analysis Methods for Biological Networks and Their Application to Gene Regulatory Networks. PubMed. 2. 193–201. 242 indexed citations

14.

Grafahrend‐Belau, Eva, Falk Schreiber, Monika Heiner, et al.. (2008). Modularization of biochemical networks based on classification of Petri net t-invariants. BMC Bioinformatics. 9(1). 90–90. 55 indexed citations

15.

Dwyer, Tim, Kim Marriott, Falk Schreiber, et al.. (2008). Exploration of Networks using overview+detail with Constraint-based cooperative layout. IEEE Transactions on Visualization and Computer Graphics. 14(6). 1293–1300. 39 indexed citations

16.

Grafahrend‐Belau, Eva, Stéphan Weise, Dirk Koschützki, et al.. (2007). MetaCrop: a detailed database of crop plant metabolism. Nucleic Acids Research. 36(Database). D954–D958. 35 indexed citations

17.

Weise, Stéphan, Ivo Große, Christian Klukas, et al.. (2006). Meta-All: a system for managing metabolic pathway information. BMC Bioinformatics. 7(1). 465–465. 12 indexed citations

18.

Schreiber, Falk & Henning Schwöbbermeyer. (2005). MAVisto: a tool for the exploration of network motifs. Computer applications in the biosciences. 21(17). 3572–3574. 148 indexed citations

19.

Dwyer, Tim, Hardy Rolletschek, & Falk Schreiber. (2004). Representing experimental biological data in metabolic networks. 13–20. 10 indexed citations

20.

Kanne, Carl-Christian, Falk Schreiber, & Dietrich Trümbach. (1999). Interactive Biochemical Pathways. 455. 204–205. 1 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