Meik Bittkowski

474 total citations
5 papers, 305 citations indexed

About

Meik Bittkowski is a scholar working on Molecular Biology, Information Systems and Management and Infectious Diseases. According to data from OpenAlex, Meik Bittkowski has authored 5 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 1 paper in Information Systems and Management and 0 papers in Infectious Diseases. Recurrent topics in Meik Bittkowski's work include Bioinformatics and Genomic Networks (4 papers), Gene Regulatory Network Analysis (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Meik Bittkowski is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Gene Regulatory Network Analysis (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Meik Bittkowski collaborates with scholars based in Germany, Netherlands and United Kingdom. Meik Bittkowski's co-authors include Martin Golebiewski, Andreas Weidemann, Renate Kania, Maja Rey, Lei Shi, Wolfgang G. Müller, Isabel Rojas, Ulrike Wittig, Lenneke M. Jong and Saqib Mir and has published in prestigious journals such as Nucleic Acids Research, Proteins Structure Function and Bioinformatics and FEBS Journal.

In The Last Decade

Meik Bittkowski

5 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Meik Bittkowski Germany	5	267	49	32	28	22	5	305
Maja Rey Germany	7	309 1.2×	24 0.5×	36 1.1×	54 1.9×	9 0.4×	10	387
Ulrike Wittig Germany	13	504 1.9×	45 0.9×	59 1.8×	65 2.3×	15 0.7×	25	577
Marco Donizelli United Kingdom	4	370 1.4×	38 0.8×	42 1.3×	36 1.3×	8 0.4×	8	445
Saqib Mir United Kingdom	6	248 0.9×	16 0.3×	23 0.7×	31 1.1×	4 0.2×	9	268
Olga Krebs Germany	10	308 1.2×	125 2.6×	10 0.3×	18 0.6×	70 3.2×	18	403
Natalie Stanford United Kingdom	8	320 1.2×	79 1.6×	8 0.3×	95 3.4×	44 2.0×	13	395
Saminda Abeyruwan United States	7	144 0.5×	17 0.3×	108 3.4×	19 0.7×	13 0.6×	10	226
René Rahn Germany	5	145 0.5×	17 0.3×	34 1.1×	6 0.2×	12 0.5×	6	235
James Scott-Brown United Kingdom	6	153 0.6×	13 0.3×	27 0.8×	8 0.3×	5 0.2×	11	194
Erik Brauner United States	4	128 0.5×	12 0.2×	24 0.8×	16 0.6×	4 0.2×	5	213

Countries citing papers authored by Meik Bittkowski

Since Specialization

Citations

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

Fields of papers citing papers by Meik Bittkowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meik Bittkowski

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

All Works

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5 of 5 papers shown

1.

Wolstencroft, Katherine, Stuart Owen, Olga Krebs, et al.. (2015). SEEK: a systems biology data and model management platform. BMC Systems Biology. 9(1). 33–33. 61 indexed citations

2.

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

3.

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

4.

Zellner, Hermann, et al.. (2011). Prescont: Predicting protein‐protein interfaces utilizing four residue properties. Proteins Structure Function and Bioinformatics. 80(1). 154–168. 36 indexed citations

5.

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

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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