Nina Kossack

587 total citations
8 papers, 431 citations indexed

About

Nina Kossack is a scholar working on Genetics, Molecular Biology and Reproductive Medicine. According to data from OpenAlex, Nina Kossack has authored 8 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 4 papers in Molecular Biology and 4 papers in Reproductive Medicine. Recurrent topics in Nina Kossack's work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), Sperm and Testicular Function (4 papers) and Sexual Differentiation and Disorders (3 papers). Nina Kossack is often cited by papers focused on Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), Sperm and Testicular Function (4 papers) and Sexual Differentiation and Disorders (3 papers). Nina Kossack collaborates with scholars based in Germany, Netherlands and India. Nina Kossack's co-authors include Joerg Gromoll, Jörg Gromoll, Shawn L. Chavez, Ha Nam Nguyen, Paul J. Turek, Cory R. Nicholas, Renee A. Reijo Pera, Shai Shefi, Juanito J. Meneses and Joachim Wistuba and has published in prestigious journals such as PLoS Medicine, Human Reproduction and Stem Cells.

In The Last Decade

Nina Kossack

8 papers receiving 416 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nina Kossack Germany 7 269 261 221 111 60 8 431
Xiangfan Zhang Canada 13 481 1.8× 308 1.2× 424 1.9× 253 2.3× 65 1.1× 19 664
Katja Eildermann Germany 9 182 0.7× 214 0.8× 140 0.6× 119 1.1× 65 1.1× 19 364
Badia Barakat Australia 4 136 0.5× 171 0.7× 81 0.4× 90 0.8× 62 1.0× 4 309
José V. Medrano Spain 14 313 1.2× 557 2.1× 383 1.7× 229 2.1× 82 1.4× 25 788
Sylwia Ciesiółka Poland 14 128 0.5× 204 0.8× 285 1.3× 118 1.1× 42 0.7× 49 482
Jocelyn A. van den Bergen Australia 14 203 0.8× 545 2.1× 169 0.8× 341 3.1× 61 1.0× 18 665
Florencia Barrios Italy 10 201 0.7× 331 1.3× 204 0.9× 202 1.8× 41 0.7× 17 503
Klaus P. Brüssow Poland 12 93 0.3× 142 0.5× 216 1.0× 78 0.7× 33 0.6× 29 312
R. Behr Germany 9 121 0.4× 256 1.0× 90 0.4× 118 1.1× 33 0.6× 10 347
Marta Svetlikova United States 10 207 0.8× 298 1.1× 412 1.9× 82 0.7× 45 0.8× 11 524

Countries citing papers authored by Nina Kossack

Since Specialization
Citations

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

Fields of papers citing papers by Nina Kossack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Kossack

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Kossack. A scholar is included among the top collaborators of Nina Kossack 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 Nina Kossack. Nina Kossack 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.
Kossack, Nina, et al.. (2014). microRNA miR-513a-3p acts as a co-regulator of luteinizing hormone/chorionic gonadotropin receptor gene expression in human granulosa cells. Molecular and Cellular Endocrinology. 390(1-2). 65–72. 26 indexed citations
2.
Kossack, Nina, Birgit Westernströer, Joachim Wistuba, et al.. (2014). Separation of somatic and germ cells is required to establish primate spermatogonial cultures. Human Reproduction. 29(9). 2018–2031. 41 indexed citations
3.
Kossack, Nina, Joachim Wistuba, Jens Ehmcke, et al.. (2013). A combined approach facilitates the reliable detection of human spermatogonia in vitro. Human Reproduction. 28(11). 3012–3025. 54 indexed citations
4.
Gottardo, Fedra, Joachim Wistuba, Jens Ehmcke, et al.. (2013). Raman microspectroscopic discrimination of TCam-2 cultures reveals the presence of two sub-populations of cells. Cell and Tissue Research. 354(2). 623–632. 6 indexed citations
5.
Kossack, Nina, et al.. (2013). Aberrant transcription of the LHCGR gene caused by a mutation in exon 6A leads to Leydig cell hypoplasia type II. Experimental and Clinical Endocrinology & Diabetes. 121(3). 15 indexed citations
6.
Albert, Sílvia, Joachim Wistuba, Katja Eildermann, et al.. (2012). Comparative Marker Analysis after Isolation and Culture of Testicular Cells from the Immature Marmoset. Cells Tissues Organs. 196(6). 543–554. 35 indexed citations
7.
Kossack, Nina, Manuela Simoni, Annette Richter-Unruh, Axel P. N. Themmen, & Jörg Gromoll. (2008). Mutations in a Novel, Cryptic Exon of the Luteinizing Hormone/Chorionic Gonadotropin Receptor Gene Cause Male Pseudohermaphroditism. PLoS Medicine. 5(4). e88–e88. 44 indexed citations
8.
Kossack, Nina, Juanito J. Meneses, Shai Shefi, et al.. (2008). Isolation and Characterization of Pluripotent Human Spermatogonial Stem Cell-Derived Cells. Stem Cells. 27(1). 138–149. 210 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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