Phillipp Schmidt

525 total citations
7 papers, 234 citations indexed

About

Phillipp Schmidt is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Cellular and Molecular Neuroscience. According to data from OpenAlex, Phillipp Schmidt has authored 7 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Health, Toxicology and Mutagenesis and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Phillipp Schmidt's work include Statistical Methods and Bayesian Inference (1 paper), Photoreceptor and optogenetics research (1 paper) and Effects and risks of endocrine disrupting chemicals (1 paper). Phillipp Schmidt is often cited by papers focused on Statistical Methods and Bayesian Inference (1 paper), Photoreceptor and optogenetics research (1 paper) and Effects and risks of endocrine disrupting chemicals (1 paper). Phillipp Schmidt collaborates with scholars based in Netherlands, Germany and United States. Phillipp Schmidt's co-authors include Bas Teusink, Joachim Goedhart, Daan H. de Groot, Dennis Botman, Niclas Nordholt, Frank J. Bruggeman, Johan H. van Heerden, Sebastian Schelter, Dustin Lange and Felix Bießmann and has published in prestigious journals such as Scientific Reports, Journal of Machine Learning Research and Journal of The Royal Society Interface.

In The Last Decade

Phillipp Schmidt

7 papers receiving 230 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Phillipp Schmidt Netherlands	6	125	52	32	24	23	7	234
Roy Varshavsky Israel	4	188 1.5×	53 1.0×	19 0.6×	8 0.3×	4 0.2×	4	309
Steve Skiena United States	9	323 2.6×	79 1.5×	38 1.2×	11 0.5×	3 0.1×	13	466
Olga Krebs Germany	10	308 2.5×	37 0.7×	23 0.7×	22 0.9×	18 0.8×	18	403
Mihai Glont United Kingdom	6	449 3.6×	21 0.4×	31 1.0×	16 0.7×	32 1.4×	8	550
Susanne Toepfer Germany	4	463 3.7×	41 0.8×	42 1.3×	9 0.4×	19 0.8×	6	538
Olufemi Aromolaran Nigeria	7	169 1.4×	66 1.3×	16 0.5×	8 0.3×	8 0.3×	14	328
Brian R. King United States	8	148 1.2×	61 1.2×	17 0.5×	8 0.3×	2 0.1×	18	293
Andrea Splendiani United Kingdom	10	234 1.9×	113 2.2×	13 0.4×	37 1.5×	11 0.5×	23	378
Chao Kong China	8	73 0.6×	28 0.5×	5 0.2×	7 0.3×	10 0.4×	33	197
Jerzy Orłowski Poland	8	309 2.5×	35 0.7×	68 2.1×	10 0.4×	6 0.3×	23	426

Countries citing papers authored by Phillipp Schmidt

Since Specialization

Citations

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

Fields of papers citing papers by Phillipp Schmidt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phillipp Schmidt

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

All Works

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7 of 7 papers shown

1.

Martín, Laura Rodríguez, Nina Vogel, Marike Kolossa‐Gehring, et al.. (2023). Identification of Real-Life Mixtures Using Human Biomonitoring Data: A Proof of Concept Study. Toxics. 11(3). 204–204. 3 indexed citations

2.

Loh, Miranda, Phillipp Schmidt, Nina Vogel, et al.. (2023). Toxicity Weighting for Human Biomonitoring Mixture Risk Assessment: A Proof of Concept. Toxics. 11(5). 408–408. 5 indexed citations

3.

Bießmann, Felix, et al.. (2019). DataWig: Missing Value Imputation for Tables. Journal of Machine Learning Research. 20(175). 1–6. 67 indexed citations

4.

Botman, Dennis, Daan H. de Groot, Phillipp Schmidt, Joachim Goedhart, & Bas Teusink. (2019). In vivo characterisation of fluorescent proteins in budding yeast. Scientific Reports. 9(1). 2234–2234. 71 indexed citations

5.

Schelter, Sebastian, et al.. (2019). Unit Testing Data with Deequ. 1993–1996. 11 indexed citations

6.

Heerden, Johan H. van, et al.. (2017). Taking chances and making mistakes: non-genetic phenotypic heterogeneity and its consequences for surviving in dynamic environments. Journal of The Royal Society Interface. 14(132). 65 indexed citations

7.

Schmidt, Phillipp, et al.. (1998). Membrane Potassium Channels and Human Bladder Tumor Cells. I. Electrical Properties. The Journal of Membrane Biology. 161(3). 247–256. 12 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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