Jasmin Bachmann

1.5k total citations · 1 hit paper
6 papers, 1.0k citations indexed

About

Jasmin Bachmann is a scholar working on Molecular Biology, Nephrology and Genetics. According to data from OpenAlex, Jasmin Bachmann has authored 6 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 1 paper in Nephrology and 1 paper in Genetics. Recurrent topics in Jasmin Bachmann's work include Gene Regulatory Network Analysis (3 papers), Microbial Metabolic Engineering and Bioproduction (1 paper) and Genomics and Rare Diseases (1 paper). Jasmin Bachmann is often cited by papers focused on Gene Regulatory Network Analysis (3 papers), Microbial Metabolic Engineering and Bioproduction (1 paper) and Genomics and Rare Diseases (1 paper). Jasmin Bachmann collaborates with scholars based in Germany, Switzerland and Austria. Jasmin Bachmann's co-authors include Ursula Klingmüller, Jens Timmer, Andreas Raue, Marcel Schilling, Tim Maiwald, Clemens Kreutz, Verena Becker, Jan Hasenauer, Sabine Hug and Fabian J. Theis and has published in prestigious journals such as Bioinformatics, Critical Care and Leukemia.

In The Last Decade

Jasmin Bachmann

6 papers receiving 984 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
Jasmin Bachmann Germany	4	467	123	100	89	75	6	1.0k
Neil D. Evans United Kingdom	21	647 1.4×	130 1.1×	123 1.2×	90 1.0×	105 1.4×	97	1.5k
Tim Maiwald Germany	12	954 2.0×	131 1.1×	151 1.5×	140 1.6×	130 1.7×	14	1.9k
S. Audoly Italy	9	356 0.8×	96 0.8×	246 2.5×	80 0.9×	104 1.4×	17	939
Marcel Schilling Germany	17	1.4k 2.9×	179 1.5×	140 1.4×	164 1.8×	163 2.2×	31	2.2k
Fabian Fröhlich Germany	17	543 1.2×	71 0.6×	62 0.6×	60 0.7×	97 1.3×	28	769
Sarah Filippi United Kingdom	16	370 0.8×	57 0.5×	32 0.3×	78 0.9×	56 0.7×	36	929
G. Bellu Italy	7	251 0.5×	76 0.6×	150 1.5×	66 0.7×	67 0.9×	9	643
Mikael Sunnåker Switzerland	10	210 0.4×	51 0.4×	28 0.3×	109 1.2×	41 0.5×	21	619
Marzio Pennisi Italy	24	613 1.3×	240 2.0×	19 0.2×	56 0.6×	117 1.6×	77	1.3k
Eric L. Haseltine United States	15	651 1.4×	51 0.4×	307 3.1×	252 2.8×	51 0.7×	23	1.4k

Countries citing papers authored by Jasmin Bachmann

Since Specialization

Citations

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

Fields of papers citing papers by Jasmin Bachmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jasmin Bachmann

This figure shows the co-authorship network connecting the top 25 collaborators of Jasmin Bachmann. A scholar is included among the top collaborators of Jasmin Bachmann 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 Jasmin Bachmann. Jasmin Bachmann 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:

6 of 6 papers shown

1.

Weber, Ashley, Jan Bartussek, Jasmin Bachmann, et al.. (2025). Incidence, severity, and predictors of citrate accumulation during continuous kidney replacement therapy in the critically ill. Critical Care. 29(1). 468–468. 2 indexed citations

2.

Popp, Bernt, et al.. (2024). The MorbidGenes panel: a monthly updated list of diagnostically relevant rare disease genes derived from diverse sources. Human Genetics. 143(12). 1459–1463. 1 indexed citations

3.

Hug, Sabine, Andreas Raue, Jan Hasenauer, et al.. (2013). High-dimensional Bayesian parameter estimation: Case study for a model of JAK2/STAT5 signaling. Mathematical Biosciences. 246(2). 293–304. 46 indexed citations

4.

Bochtler, Tilmann, Michael Kirsch, Bettina Maier, et al.. (2011). Centrosomal targeting of tyrosine kinase activity does not enhance oncogenicity in chronic myeloproliferative disorders. Leukemia. 26(4). 728–735. 8 indexed citations

5.

Bachmann, Jasmin, Andreas Raue, Marcel Schilling, et al.. (2011). Predictive mathematical models of cancer signalling pathways. Journal of Internal Medicine. 271(2). 155–165. 46 indexed citations

6.

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 →

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