Ulrich Gottwald

708 total citations
8 papers, 524 citations indexed

About

Ulrich Gottwald is a scholar working on Molecular Biology, Reproductive Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ulrich Gottwald has authored 8 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Reproductive Medicine and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Ulrich Gottwald's work include Sperm and Testicular Function (3 papers), Receptor Mechanisms and Signaling (2 papers) and Hormonal and reproductive studies (1 paper). Ulrich Gottwald is often cited by papers focused on Sperm and Testicular Function (3 papers), Receptor Mechanisms and Signaling (2 papers) and Hormonal and reproductive studies (1 paper). Ulrich Gottwald collaborates with scholars based in Germany, France and United Kingdom. Ulrich Gottwald's co-authors include Benjamin Davies, Martin Fritsch, Franz Theuring, Angelika A. Noegel, Claudia Baumann, Christiane Kirchhoff, Richard Ivell, Iakowos Karakesisoglou, Michael Schleicher and Reinhard Nubbemeyer and has published in prestigious journals such as Journal of Clinical Investigation, Molecular and Cellular Biology and Endocrinology.

In The Last Decade

Ulrich Gottwald

8 papers receiving 514 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ulrich Gottwald Germany 8 221 205 135 90 67 8 524
Y. Vera United States 10 256 1.2× 298 1.5× 133 1.0× 63 0.7× 32 0.5× 11 534
Shaliha Bechoua France 16 445 2.0× 225 1.1× 168 1.2× 57 0.6× 138 2.1× 22 873
Mehmet Alper Arslan Türkiye 9 230 1.0× 196 1.0× 105 0.8× 62 0.7× 26 0.4× 12 483
Patrick Syntin France 10 145 0.7× 296 1.4× 145 1.1× 121 1.3× 25 0.4× 14 493
Thomas Sæther Norway 16 319 1.4× 114 0.6× 75 0.6× 69 0.8× 18 0.3× 31 595
Pablo E. Visconti United States 10 202 0.9× 351 1.7× 243 1.8× 122 1.4× 37 0.6× 13 511
Gisela Machado-Oliveira United Kingdom 10 200 0.9× 287 1.4× 221 1.6× 54 0.6× 25 0.4× 12 528
Darrell A. Austin United States 11 336 1.5× 270 1.3× 96 0.7× 156 1.7× 30 0.4× 11 657
Melanie Balbach United States 15 254 1.1× 437 2.1× 370 2.7× 114 1.3× 17 0.3× 24 785
Carmen Colás Spain 11 569 2.6× 283 1.4× 248 1.8× 55 0.6× 33 0.5× 14 946

Countries citing papers authored by Ulrich Gottwald

Since Specialization
Citations

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

Fields of papers citing papers by Ulrich Gottwald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrich Gottwald

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

All Works

8 of 8 papers shown
1.
Hauff, Peter, Ulrich Gottwald, & Matthias Ocker. (2014). Early to Phase II drugs currently under investigation for the treatment of liver fibrosis. Expert Opinion on Investigational Drugs. 24(3). 309–327. 20 indexed citations
2.
Chabory, Eléonore, Alain Lenoir, Branko Zevnik, et al.. (2009). Epididymis seleno-independent glutathione peroxidase 5 maintains sperm DNA integrity in mice. Journal of Clinical Investigation. 119(7). 2074–85. 187 indexed citations
3.
O’Donnell, Liza, Andrea Wagenfeld, Ulrich Gottwald, et al.. (2009). Transcriptional Profiling of the Hormone-Responsive Stages of Spermatogenesis Reveals Cell-, Stage-, and Hormone-Specific Events. Endocrinology. 150(11). 5074–5084. 26 indexed citations
4.
Bone, Wilhelm, Martin Fritsch, Ulrike Voigtmann, et al.. (2007). The sensitivity of murine spermiogenesis to miglustat is a quantitative trait: a pharmacogenetic study. Reproductive Biology and Endocrinology. 5(1). 1–1. 55 indexed citations
5.
Sacher, Frank, Christina Möller, Wilhelm Bone, Ulrich Gottwald, & Martin Fritsch. (2007). The expression of the testis-specific Dyrk4 kinase is highly restricted to step 8 spermatids but is not required for male fertility in mice. Molecular and Cellular Endocrinology. 267(1-2). 80–88. 30 indexed citations
6.
Gottwald, Ulrich, et al.. (2006). New approaches for male fertility control: HE6 as an example of a putative target. Molecular and Cellular Endocrinology. 250(1-2). 49–57. 19 indexed citations
7.
Davies, Benjamin, Claudia Baumann, Christiane Kirchhoff, et al.. (2004). Targeted Deletion of the Epididymal Receptor HE6 Results in Fluid Dysregulation and Male Infertility. Molecular and Cellular Biology. 24(19). 8642–8648. 115 indexed citations
8.
Gottwald, Ulrich, et al.. (1996). Identification of a cyclase-associated protein (CAP) homologue in Dictyostelium discoideum and characterization of its interaction with actin.. Molecular Biology of the Cell. 7(2). 261–272. 72 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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