Maja Rey

672 total citations
10 papers, 387 citations indexed

About

Maja Rey is a scholar working on Molecular Biology, Information Systems and Information Systems and Management. According to data from OpenAlex, Maja Rey has authored 10 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 1 paper in Information Systems and 1 paper in Information Systems and Management. Recurrent topics in Maja Rey's work include Bioinformatics and Genomic Networks (6 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and Gene Regulatory Network Analysis (4 papers). Maja Rey is often cited by papers focused on Bioinformatics and Genomic Networks (6 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and Gene Regulatory Network Analysis (4 papers). Maja Rey collaborates with scholars based in Germany and United Kingdom. Maja Rey's co-authors include Andreas Weidemann, Wolfgang G. Müller, Ulrike Wittig, Renate Kania, Meik Bittkowski, Martin Golebiewski, Lei Shi, Isabel Rojas, Lenneke M. Jong and Saqib Mir and has published in prestigious journals such as Nucleic Acids Research, Electrochimica Acta and FEBS Journal.

In The Last Decade

Maja Rey

9 papers receiving 381 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maja Rey Germany	7	309	54	36	34	24	10	387
Ulrike Wittig Germany	13	504 1.6×	65 1.2×	59 1.6×	24 0.7×	45 1.9×	25	577
Elzbieta Rembeza Sweden	6	276 0.9×	21 0.4×	31 0.9×	34 1.0×	4 0.2×	7	354
Jim Bosley United States	8	157 0.5×	57 1.1×	74 2.1×	20 0.6×	5 0.2×	18	345
Meik Bittkowski Germany	5	267 0.9×	28 0.5×	32 0.9×	16 0.5×	49 2.0×	5	305
Joseph Zock United States	6	278 0.9×	57 1.1×	58 1.6×	19 0.6×	3 0.1×	7	383
Saqib Mir United Kingdom	6	248 0.8×	31 0.6×	23 0.6×	8 0.2×	16 0.7×	9	268
Hans‐Michael Kaltenbach Switzerland	11	255 0.8×	73 1.4×	17 0.5×	5 0.1×	7 0.3×	32	396
Sandra Viknander Sweden	4	228 0.7×	16 0.3×	33 0.9×	29 0.9×	3 0.1×	9	269
Fei Tong China	7	204 0.7×	18 0.3×	140 3.9×	53 1.6×	4 0.2×	16	359
James Scott-Brown United Kingdom	6	153 0.5×	8 0.1×	27 0.8×	20 0.6×	13 0.5×	11	194

Countries citing papers authored by Maja Rey

Since Specialization

Citations

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

Fields of papers citing papers by Maja Rey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Rey

This figure shows the co-authorship network connecting the top 25 collaborators of Maja Rey. A scholar is included among the top collaborators of Maja Rey 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 Maja Rey. Maja Rey 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.

Wittig, Ulrike, et al.. (2023). Improved insights into the SABIO-RK database via visualization. Database. 2023. 1 indexed citations

2.

Rey, Maja, et al.. (2020). Reconstructing Manual Information Extraction with DB-to-Document Backprojection: Experiments in the Life Science Domain. Publication Server of the Institute for German Language (Institute for German Language). 81–90.

3.

Wittig, Ulrike, Maja Rey, Andreas Weidemann, & Wolfgang G. Müller. (2017). Data management and data enrichment for systems biology projects. Journal of Biotechnology. 261. 229–237. 6 indexed citations

4.

Wittig, Ulrike, Maja Rey, Andreas Weidemann, Renate Kania, & Wolfgang G. Müller. (2017). SABIO-RK: an updated resource for manually curated biochemical reaction kinetics. Nucleic Acids Research. 46(D1). D656–D660. 110 indexed citations

5.

Wittig, Ulrike, Renate Kania, Meik Bittkowski, et al.. (2014). Data extraction for the reaction kinetics database SABIO-RK. Perspectives in Science. 1(1-6). 33–40. 14 indexed citations

6.

Wittig, Ulrike, Maja Rey, Renate Kania, et al.. (2013). Challenges for an enzymatic reaction kinetics database. FEBS Journal. 281(2). 572–582. 13 indexed citations

7.

Hetherington, James, Tom Sumner, Robert M. Seymour, et al.. (2011). A composite computational model of liver glucose homeostasis. I. Building the composite model. Journal of The Royal Society Interface. 9(69). 689–700. 19 indexed citations

8.

Wittig, Ulrike, Renate Kania, Martin Golebiewski, et al.. (2011). SABIO-RK--database for biochemical reaction kinetics. Nucleic Acids Research. 40(D1). D790–D796. 181 indexed citations

9.

Hetherington, James, I. David L. Bogle, Peter Saffrey, et al.. (2006). Addressing the challenges of multiscale model management in systems biology. Computers & Chemical Engineering. 31(8). 962–979. 19 indexed citations

10.

Rey, Maja, et al.. (1961). Electrodes de reference pour hautes temperatures. Electrochimica Acta. 4(2-4). 274–287. 24 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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