Stephani Schmitz

579 total citations
7 papers, 275 citations indexed

About

Stephani Schmitz is a scholar working on Infectious Diseases, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Stephani Schmitz has authored 7 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 4 papers in Molecular Biology and 4 papers in Biomedical Engineering. Recurrent topics in Stephani Schmitz's work include Biosensors and Analytical Detection (4 papers), SARS-CoV-2 detection and testing (4 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Stephani Schmitz is often cited by papers focused on Biosensors and Analytical Detection (4 papers), SARS-CoV-2 detection and testing (4 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Stephani Schmitz collaborates with scholars based in Germany, United States and Netherlands. Stephani Schmitz's co-authors include Jan Larmann, Claudia M. Denkinger, Stephan Katzenschlager, Aurélien Macé, Mary Gaeddert, Stefano Ongarello, Christian Erdmann, Jilian A. Sacks, Sergio Carmona and Lukas E. Brümmer and has published in prestigious journals such as PLoS ONE, Scientific Reports and PLoS Medicine.

In The Last Decade

Stephani Schmitz

6 papers receiving 272 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephani Schmitz Germany	5	232	108	45	41	38	7	275
Bryan Stevens United States	11	311 1.3×	97 0.9×	63 1.4×	74 1.8×	67 1.8×	20	391
Hadeel Al-Jighefee Qatar	8	335 1.4×	129 1.2×	72 1.6×	28 0.7×	36 0.9×	10	410
Christian Erdmann Germany	4	207 0.9×	110 1.0×	41 0.9×	31 0.8×	33 0.9×	6	239
Eamon O’Murchu Ireland	3	375 1.6×	99 0.9×	44 1.0×	55 1.3×	47 1.2×	5	445
Marc Bota Germany	5	197 0.8×	102 0.9×	39 0.9×	30 0.7×	30 0.8×	7	258
Clio Grimaldier France	5	517 2.2×	177 1.6×	81 1.8×	56 1.4×	53 1.4×	5	569
Yutaro Kitagawa Japan	8	241 1.0×	86 0.8×	52 1.2×	16 0.4×	40 1.1×	10	264
Makoto Maejima Japan	9	321 1.4×	141 1.3×	62 1.4×	91 2.2×	38 1.0×	13	365
Natasha Garamani United States	6	196 0.8×	70 0.6×	48 1.1×	40 1.0×	32 0.8×	9	236
Masahiro Shibusawa Japan	8	299 1.3×	132 1.2×	58 1.3×	85 2.1×	37 1.0×	9	339

Countries citing papers authored by Stephani Schmitz

Since Specialization

Citations

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

Fields of papers citing papers by Stephani Schmitz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephani Schmitz

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

Katzenschlager, Stephan, Lukas E. Brümmer, Stephani Schmitz, et al.. (2024). Clinical accuracy of instrument-based SARS-CoV-2 antigen diagnostic tests: a systematic review and meta-analysis. Virology Journal. 21(1). 99–99. 3 indexed citations

Snoeren, Inge, Eric M. Bindels, Stephani Schmitz, et al.. (2023). Collaborative effect of Csnk1a1 haploinsufficiency and mutant p53 in Myc induction can promote leukemic transformation. Blood Advances. 8(3). 766–779.

Katzenschlager, Stephan, Lukas E. Brümmer, Stephani Schmitz, et al.. (2023). Comparing SARS-CoV-2 antigen-detection rapid diagnostic tests for COVID-19 self-testing/self-sampling with molecular and professional-use tests: a systematic review and meta-analysis. Scientific Reports. 13(1). 21913–21913. 11 indexed citations

Brümmer, Lukas E., Stephan Katzenschlager, Sean McGrath, et al.. (2022). Accuracy of rapid point-of-care antigen-based diagnostics for SARS-CoV-2: An updated systematic review and meta-analysis with meta-regression analyzing influencing factors. PLoS Medicine. 19(5). e1004011–e1004011. 38 indexed citations

Franzen, Julia, Joana Frobel, Chao‐Chung Kuo, et al.. (2022). Hematopoietic differentiation persists in human iPSCs defective in de novo DNA methylation. BMC Biology. 20(1). 141–141. 6 indexed citations

Brümmer, Lukas E., Stephan Katzenschlager, Mary Gaeddert, et al.. (2021). Accuracy of novel antigen rapid diagnostics for SARS-CoV-2: A living systematic review and meta-analysis. PLoS Medicine. 18(8). e1003735–e1003735. 176 indexed citations

Katzenschlager, Stephan, A. Zimmer, Juergen Grafeneder, et al.. (2021). Can we predict the severe course of COVID-19 - a systematic review and meta-analysis of indicators of clinical outcome?. PLoS ONE. 16(7). e0255154–e0255154. 41 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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