A. Seiler

4.4k total citations · 1 hit paper
61 papers, 2.9k citations indexed

About

A. Seiler is a scholar working on Molecular Biology, Biomedical Engineering and Cancer Research. According to data from OpenAlex, A. Seiler has authored 61 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 13 papers in Biomedical Engineering and 10 papers in Cancer Research. Recurrent topics in A. Seiler's work include Pluripotent Stem Cells Research (26 papers), 3D Printing in Biomedical Research (13 papers) and Growth Hormone and Insulin-like Growth Factors (7 papers). A. Seiler is often cited by papers focused on Pluripotent Stem Cells Research (26 papers), 3D Printing in Biomedical Research (13 papers) and Growth Hormone and Insulin-like Growth Factors (7 papers). A. Seiler collaborates with scholars based in Germany, United States and Netherlands. A. Seiler's co-authors include Horst Spielmann, Elke Genschow, F. Gregory Wulczyn, Lena Smirnova, Stefan Schumacher, Robert Nitsch, A. Visan, Roland Buesen, Nicole Clemann and Susanne Bremer and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and PLoS ONE.

In The Last Decade

A. Seiler

59 papers receiving 2.8k citations

Hit Papers

Regulation of miRNA expression during neural cell specifi... 2005 2026 2012 2019 2005 100 200 300 400 500
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.

  1. Regulation of miRNA expression during neural cell specification
    2005 565 citations Lena Smirnova, A. Seiler et al. European Journal of Neuroscience profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Seiler Germany 26 1.9k 669 548 445 301 61 2.9k
David J. Milan United States 35 2.6k 1.3× 213 0.3× 281 0.5× 80 0.2× 153 0.5× 83 4.7k
Jay P. Tiesman United States 23 880 0.5× 197 0.3× 81 0.1× 196 0.4× 127 0.4× 48 2.0k
Zuping He China 38 2.8k 1.4× 1.3k 1.9× 175 0.3× 237 0.5× 99 0.3× 126 5.2k
Mi‐Young Son South Korea 30 1.8k 0.9× 281 0.4× 521 1.0× 63 0.1× 293 1.0× 122 2.9k
Yang Shen China 27 1.3k 0.7× 585 0.9× 72 0.1× 217 0.5× 87 0.3× 127 2.7k
Bruno Colaço Portugal 23 584 0.3× 158 0.2× 252 0.5× 101 0.2× 176 0.6× 121 1.7k
Jie Ma China 28 1.4k 0.7× 594 0.9× 168 0.3× 76 0.2× 77 0.3× 123 2.5k
Kazunari K. Yokoyama Japan 43 4.1k 2.1× 617 0.9× 192 0.4× 79 0.2× 385 1.3× 178 5.5k
Stanley L. Lin United States 28 955 0.5× 152 0.2× 501 0.9× 50 0.1× 86 0.3× 49 2.3k
Seungkwon You South Korea 24 761 0.4× 182 0.3× 191 0.3× 77 0.2× 58 0.2× 65 1.8k

Countries citing papers authored by A. Seiler

Since Specialization
Citations

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

Fields of papers citing papers by A. Seiler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Seiler

This figure shows the co-authorship network connecting the top 25 collaborators of A. Seiler. A scholar is included among the top collaborators of A. Seiler 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 A. Seiler. A. Seiler 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.
Smirnova, Lena, A. Seiler, & Andreas Luch. (2015). microRNA Profiling as Tool for Developmental Neurotoxicity Testing (DNT). Current Protocols in Toxicology. 64(1). 20.9.1–20.9.22. 8 indexed citations
3.
Smirnova, Lena, et al.. (2014). MicroRNA Profiling as Tool for In Vitro Developmental Neurotoxicity Testing: The Case of Sodium Valproate. PLoS ONE. 9(6). e98892–e98892. 22 indexed citations
4.
David, Robert, Ralf Dressel, Mia Emgård, et al.. (2013). Reconsidering pluripotency tests: Do we still need teratoma assays?. Stem Cell Research. 11(1). 552–562. 63 indexed citations
5.
Bal‐Price, Anna, Sandra Coecke, Lucio G. Costa, et al.. (2012). Conference Report: Advancing the Science of Developmental Neurotoxicity (DNT): Testing for Better Safety Evaluation.. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 5 indexed citations
6.
Riebeling, Christian, Andreas Luch, & A. Seiler. (2012). The Validated Embryonic Stem Cell Test (EST) and its Applicability Domain.
7.
8.
Seiler, A. & Horst Spielmann. (2011). The validated embryonic stem cell test to predict embryotoxicity in vitro. Nature Protocols. 6(7). 961–978. 201 indexed citations
9.
Seiler, A., Michael Oelgeschläger, Manfred Liebsch, et al.. (2011). Developmental toxicity testing in the 21st century: the sword of Damocles shattered by embryonic stem cell assays?. Archives of Toxicology. 85(11). 1361–1372. 13 indexed citations
10.
Riebeling, Christian, Ralph Pirow, Klaus M. Becker, et al.. (2011). The Embryonic Stem Cell Test as Tool to Assess Structure-Dependent Teratogenicity: The Case of Valproic Acid. Toxicological Sciences. 120(2). 360–370. 21 indexed citations
11.
Groot, Didima de, Hanneke Stegeman, Jan Lammers, et al.. (2008). Development of an in vitro stem cell assay to test developmental neurotoxicity. Toxicology Letters. 180. S99–S100. 1 indexed citations
12.
Seiler, A., Roland Buesen, Katrin Hayeß, et al.. (2006). Current status of the embryonic stem cell test: The use of recent advances in the field of stem cell technology and gene expression analysis. OpenAgrar. 14 indexed citations
13.
Smirnova, Lena, et al.. (2005). Regulation of miRNA expression during neural cell specification. European Journal of Neuroscience. 21(6). 1469–1477. 565 indexed citations breakdown →
14.
Seiler, A., A. Visan, Roland Buesen, Elke Genschow, & Horst Spielmann. (2004). Improvement of an in vitro stem cell assay for developmental toxicity: the use of molecular endpoints in the embryonic stem cell test. Reproductive Toxicology. 18(2). 231–240. 137 indexed citations
15.
Hallak, Hazem, et al.. (2001). Inhibition of Insulin-Like Growth Factor-I Signaling by Ethanol in Neuronal Cells. Alcoholism Clinical and Experimental Research. 25(7). 1058–1064.
16.
Seiler, A., et al.. (2000). Ethanol Inhibits Insulin Receptor Tyrosine Kinase. Alcoholism Clinical and Experimental Research. 24(12). 1869–1872. 1 indexed citations
17.
Morelli, Giovanna, Burkhard Malorny, Kerstin Müller, et al.. (1997). Clonal descent and microevolution of Neisseria meningitidis during 30 years of epidemic spread. Molecular Microbiology. 25(6). 1047–1064. 86 indexed citations
18.
Seiler, A., et al.. (1996). Allelic polymorphism and site‐specific recombination in the opc locus of Neisseria meningitidis. Molecular Microbiology. 19(4). 841–856. 67 indexed citations
19.
Achtman, Mark, et al.. (1991). Neisseriae 1990. 2 indexed citations
20.
Kahmann, Regine, A. Seiler, F. Gregory Wulczyn, & Eberhard Pfaff. (1985). The mom gene of bacteriophage Mu: a unique regulatory scheme to control a lethal function. Gene. 39(1). 61–70. 31 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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