Susanne A. Seuchter

1.7k total citations
28 papers, 847 citations indexed

About

Susanne A. Seuchter is a scholar working on Genetics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Susanne A. Seuchter has authored 28 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 7 papers in Molecular Biology and 5 papers in Artificial Intelligence. Recurrent topics in Susanne A. Seuchter's work include Genetic Associations and Epidemiology (4 papers), Genomic variations and chromosomal abnormalities (4 papers) and Data Quality and Management (4 papers). Susanne A. Seuchter is often cited by papers focused on Genetic Associations and Epidemiology (4 papers), Genomic variations and chromosomal abnormalities (4 papers) and Data Quality and Management (4 papers). Susanne A. Seuchter collaborates with scholars based in Germany, United States and Netherlands. Susanne A. Seuchter's co-authors include Michael Knapp, Max P. Baur, Mark H. Skolnick, John J. Zone, Laurence J. Meyer, Michael W. Piepkorn, Lisa Cannon‐Albright, R. Coldewey, David E. Goldgar and K Hartung and has published in prestigious journals such as Journal of Clinical Investigation, Journal of the American Academy of Dermatology and Journal of Psychiatric Research.

In The Last Decade

Susanne A. Seuchter

27 papers receiving 815 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susanne A. Seuchter Germany 14 391 225 134 116 114 28 847
Adam Yongxin Ye China 19 330 0.8× 545 2.4× 137 1.0× 21 0.2× 48 0.4× 42 1.0k
Karen Snow United States 15 351 0.9× 428 1.9× 23 0.2× 22 0.2× 78 0.7× 36 1.1k
Nakao Konishi Japan 12 98 0.3× 165 0.7× 87 0.6× 13 0.1× 83 0.7× 26 618
Iben Bache Denmark 15 341 0.9× 254 1.1× 50 0.4× 27 0.2× 26 0.2× 29 731
Charles M. Strom United States 16 357 0.9× 241 1.1× 29 0.2× 23 0.2× 38 0.3× 37 883
Jason P. Sinnwell United States 17 324 0.8× 273 1.2× 41 0.3× 18 0.2× 136 1.2× 58 867
Ruben van’t Slot Netherlands 12 316 0.8× 225 1.0× 85 0.6× 10 0.1× 38 0.3× 16 691
Tomasz Gambin Poland 22 649 1.7× 765 3.4× 78 0.6× 17 0.1× 29 0.3× 75 1.4k
Manuel Corpas United Kingdom 13 1.1k 2.7× 893 4.0× 53 0.4× 11 0.1× 34 0.3× 41 1.6k

Countries citing papers authored by Susanne A. Seuchter

Since Specialization
Citations

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

Fields of papers citing papers by Susanne A. Seuchter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susanne A. Seuchter. 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 Susanne A. Seuchter. The network helps show where Susanne A. Seuchter may publish in the future.

Co-authorship network of co-authors of Susanne A. Seuchter

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

All Works

20 of 20 papers shown
1.
2.
Seuchter, Susanne A., et al.. (2022). DQAgui: a graphical user interface for the MIRACUM data quality assessment tool. BMC Medical Informatics and Decision Making. 22(1). 213–213. 5 indexed citations
3.
Schüttler, J., Lorenz A. Kapsner, Susanne A. Seuchter, et al.. (2021). Studies on COVID-19 lethality: Causes and dynamics at German University Hospitals. 62. 244–257. 1 indexed citations
4.
Farin‐Glattacker, Erik, Martin Boeker, Hans‐Ulrich Prokosch, et al.. (2021). RECUR – Aufbau eines automatisierten digitalen Registers für Patient*innen mit rezidivierenden Steinen des oberen Harntraktes. Das Gesundheitswesen. 83(S 01). S27–S32. 5 indexed citations
5.
Gradinger, Tobias, et al.. (2019). Towards Structured Data Quality Assessment in the German Medical Informatics Initiative: Initial Approach in the MII Demonstrator Study. Studies in health technology and informatics. 264. 1508–1509. 11 indexed citations
6.
Kapsner, Lorenz A., Marvin Kampf, Susanne A. Seuchter, et al.. (2019). Moving Towards an EHR Data Quality Framework: The MIRACUM Approach. Studies in health technology and informatics. 267. 247–253. 24 indexed citations
7.
Köpcke, Wolfgang, et al.. (2004). Mathematical-Statistical Concepts for Modelling and Prediction of Longterm Follow-up. Pharmacopsychiatry. 37. 98–102. 1 indexed citations
8.
Seuchter, Susanne A., Johannes Hebebrand, Michael Knapp, et al.. (2000). Complex segregation analysis of families ascertained through Gilles de la Tourette syndrome. Genetic Epidemiology. 18(1). 33–47. 43 indexed citations
9.
Seuchter, Susanne A., et al.. (1997). The “possible triangle” test for extreme discordant sib pairs. Genetic Epidemiology. 14(6). 833–838. 6 indexed citations
10.
Hebebrand, Johannes, Rolf Fimmers, Susanne A. Seuchter, et al.. (1997). Rates for tic disorders and obsessive compulsive symptomatology in families of children and adolescents with Gilles de la Tourette syndrome. Journal of Psychiatric Research. 31(5). 519–530. 66 indexed citations
11.
Knapp, Michael, et al.. (1994). Linkage Analysis in Nuclear Families. Human Heredity. 44(1). 44–51. 78 indexed citations
12.
Knapp, Michael, Susanne A. Seuchter, & Max P. Baur. (1994). Linkage Analysis in Nuclear Families. Human Heredity. 44(1). 37–43. 80 indexed citations
13.
Knapp, Michael, Susanne A. Seuchter, & Max P. Baur. (1993). The effect of misspecifying allele frequencies in incompletely typed families. Genetic Epidemiology. 10(6). 413–418. 15 indexed citations
14.
Hartung, K, Max P. Baur, R. Coldewey, et al.. (1992). Major histocompatibility complex haplotypes and complement C4 alleles in systemic lupus erythematosus. Results of a multicenter study.. Journal of Clinical Investigation. 90(4). 1346–1351. 121 indexed citations
15.
Hartung, K, R. Coldewey, F. Krapf, et al.. (1991). Hetero and homozygosity of MHC class II gene products in systemic lupus erythematosus*. Tissue Antigens. 38(4). 165–168. 13 indexed citations
16.
Seuchter, Susanne A., Michael Knapp, Klaus Hartung, et al.. (1991). Testing for association in SLE families. Genetic Epidemiology. 8(6). 409–416. 4 indexed citations
17.
Olsson, J E, et al.. (1990). Gene of type II autosomal dominant retinitis pigmentosa maps on the long arm of chromosome 3. American Journal of Medical Genetics. 35(4). 595–599. 21 indexed citations
18.
Piepkorn, Michael W., Laurence J. Meyer, David E. Goldgar, et al.. (1989). The dysplastic melanocytic nevus: A prevalent lesion that correlates poorly with clinical phenotype. Journal of the American Academy of Dermatology. 20(3). 407–415. 98 indexed citations
19.
Fimmers, Rolf, et al.. (1989). Identity-by-descent analysis using all genotype solutions.. PubMed. 329. 123–8. 4 indexed citations
20.
Seuchter, Susanne A. & Mark H. Skolnick. (1988). HGDBMS: A human genetics database management system. Computers and Biomedical Research. 21(5). 478–487. 9 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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