Tim Maiwald

2.9k total citations · 1 hit paper
14 papers, 1.9k citations indexed

About

Tim Maiwald is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Tim Maiwald has authored 14 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Immunology. Recurrent topics in Tim Maiwald's work include Gene Regulatory Network Analysis (5 papers), interferon and immune responses (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Tim Maiwald is often cited by papers focused on Gene Regulatory Network Analysis (5 papers), interferon and immune responses (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Tim Maiwald collaborates with scholars based in Germany, United States and Australia. Tim Maiwald's co-authors include Jens Timmer, Clemens Kreutz, Ursula Klingmüller, Andreas Raue, Marcel Schilling, Jasmin Bachmann, Marialuisa Pellegrini‐Calace, Janet M. Thornton, Henning U. Voss and Matthias Winterhalder and has published in prestigious journals such as Bioinformatics, PLoS ONE and PLoS Pathogens.

In The Last Decade

Tim Maiwald

14 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Structural and practical identifiability analysis of partially observed dynamical models by exploiting the profile likelihood

2009 903 citations Andreas Raue, Clemens Kreutz et al. Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tim Maiwald Germany	12	954	210	151	140	131	14	1.9k
Jinzhi Lei China	21	528 0.6×	233 1.1×	82 0.5×	145 1.0×	140 1.1×	99	1.4k
Jan Hasenauer Germany	31	1.7k 1.8×	50 0.2×	179 1.2×	215 1.5×	231 1.8×	144	2.7k
Andreas Raue Germany	23	1.8k 1.9×	71 0.3×	213 1.4×	230 1.6×	248 1.9×	44	3.0k
Clemens Kreutz Germany	32	2.1k 2.2×	76 0.4×	240 1.6×	376 2.7×	221 1.7×	84	3.8k
Gary R. Mirams United Kingdom	36	1.7k 1.8×	60 0.3×	127 0.8×	59 0.4×	225 1.7×	96	3.3k
Michael J. Chappell United Kingdom	21	567 0.6×	44 0.2×	274 1.8×	114 0.8×	143 1.1×	101	1.6k
Marcel Schilling Germany	17	1.4k 1.4×	27 0.1×	140 0.9×	164 1.2×	179 1.4×	31	2.2k
Alejandro F. Villaverde Spain	24	929 1.0×	53 0.3×	328 2.2×	124 0.9×	105 0.8×	61	1.8k
Ranadip Pal United States	25	1.5k 1.6×	42 0.2×	80 0.5×	267 1.9×	37 0.3×	98	2.2k
Hua Zhou United States	22	515 0.5×	77 0.4×	58 0.4×	398 2.8×	16 0.1×	105	2.0k

Countries citing papers authored by Tim Maiwald

Since Specialization

Citations

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

Fields of papers citing papers by Tim Maiwald

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Maiwald

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

All Works

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14 of 14 papers shown

Maiwald, Tim, Marcel Schilling, Annette Schneider, et al.. (2020). Identification of Interleukin1β as an Amplifier of Interferon alpha-induced Antiviral Responses. PLoS Pathogens. 16(10). e1008461–e1008461. 6 indexed citations

Rosenblatt, Marcus, Vladimir Gonçalves Magalhães, Christopher Dächert, et al.. (2020). Disentangling molecular mechanisms regulating sensitization of interferon alpha signal transduction. Molecular Systems Biology. 16(7). e8955–e8955. 34 indexed citations

Maiwald, Tim, Helge Hass, Bernhard Steiert, et al.. (2016). Driving the Model to Its Limit: Profile Likelihood Based Model Reduction. PLoS ONE. 11(9). e0162366–e0162366. 68 indexed citations

D’Alessandro, Lorenza A., Regina Samaga, Tim Maiwald, et al.. (2015). Disentangling the Complexity of HGF Signaling by Combining Qualitative and Quantitative Modeling. PLoS Computational Biology. 11(4). e1004192–e1004192. 14 indexed citations

Raue, Andreas, Bernhard Steiert, Max Schelker, et al.. (2015). Data2Dynamics: a modeling environment tailored to parameter estimation in dynamical systems. Bioinformatics. 31(21). 3558–3560. 153 indexed citations

Raue, Andreas, Clemens Kreutz, Tim Maiwald, Ursula Klingmüller, & Jens Timmer. (2011). Addressing parameter identifiability by model-based experimentation. IET Systems Biology. 5(2). 120–130. 106 indexed citations

Maiwald, Tim, Annette Schneider, Hauke Busch, et al.. (2010). Combining theoretical analysis and experimental data generation reveals IRF9 as a crucial factor for accelerating interferon α‐induced early antiviral signalling. FEBS Journal. 277(22). 4741–4754. 40 indexed citations

Pellegrini‐Calace, Marialuisa, Tim Maiwald, & Janet M. Thornton. (2009). PoreWalker: A Novel Tool for the Identification and Characterization of Channels in Transmembrane Proteins from Their Three-Dimensional Structure. PLoS Computational Biology. 5(7). e1000440–e1000440. 146 indexed citations

Raue, Andreas, Clemens Kreutz, Tim Maiwald, et al.. (2009). Structural and practical identifiability analysis of partially observed dynamical models by exploiting the profile likelihood. Bioinformatics. 25(15). 1923–1929. 903 indexed citations breakdown →

10.

Kreutz, Clemens, Maria M. Rodríguez, Tim Maiwald, et al.. (2007). An error model for protein quantification. Bioinformatics. 23(20). 2747–2753. 85 indexed citations

11.

Kreutz, Clemens, et al.. (2007). Data-based identifiability analysis of non-linear dynamical models. Bioinformatics. 23(19). 2612–2618. 131 indexed citations

12.

Schilling, Marcel, Tim Maiwald, Sebastian Böhl, et al.. (2005). Quantitative data generation for systems biology: the impact of randomisation, calibrators and normalisers. PubMed. 152(4). 193–193. 30 indexed citations

13.

Timmer, Jens, et al.. (2004). Aperiodic flow-induced oscillations of collapsible tubes: a critical reappraisal. Medical Engineering & Physics. 26(3). 201–214. 4 indexed citations

14.

Winterhalder, Matthias, Tim Maiwald, Henning U. Voss, et al.. (2003). The seizure prediction characteristic: a general framework to assess and compare seizure prediction methods. Epilepsy & Behavior. 4(3). 318–325. 173 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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