W. Rens

589 total citations
26 papers, 470 citations indexed

About

W. Rens is a scholar working on Genetics, Molecular Biology and Reproductive Medicine. According to data from OpenAlex, W. Rens has authored 26 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Genetics, 10 papers in Molecular Biology and 10 papers in Reproductive Medicine. Recurrent topics in W. Rens's work include Animal Genetics and Reproduction (10 papers), Sperm and Testicular Function (10 papers) and Reproductive Biology and Fertility (9 papers). W. Rens is often cited by papers focused on Animal Genetics and Reproduction (10 papers), Sperm and Testicular Function (10 papers) and Reproductive Biology and Fertility (9 papers). W. Rens collaborates with scholars based in Netherlands, United Kingdom and United States. W. Rens's co-authors include Glenn R. Welch, Lawrence A. Johnson, Jacob A. Aten, Fengtang Yang, Wei Nie, Carel H. van Oven, G. Rickey Welch, Tamás Révay, A.T. Natarajan and P. de Boer and has published in prestigious journals such as Journal of Animal Science, Reproduction and Human Genetics.

In The Last Decade

W. Rens

25 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. Rens Netherlands 12 276 210 195 142 138 26 470
Emily Fishman United States 10 136 0.5× 179 0.9× 215 1.1× 181 1.3× 45 0.3× 16 418
Katie E. Fowler United Kingdom 8 282 1.0× 85 0.4× 121 0.6× 200 1.4× 192 1.4× 20 458
Glenn R. Welch United States 11 193 0.7× 256 1.2× 226 1.2× 72 0.5× 16 0.1× 17 428
Pimprapar Wongsrikeao Japan 16 125 0.5× 344 1.6× 517 2.7× 270 1.9× 28 0.2× 28 660
Bernard A. J. Roelen Netherlands 10 59 0.2× 71 0.3× 132 0.7× 267 1.9× 117 0.8× 19 419
Luis Alberto Grullón Spain 9 133 0.5× 329 1.6× 348 1.8× 137 1.0× 17 0.1× 13 486
T. Yamanouchi Japan 9 101 0.4× 201 1.0× 298 1.5× 117 0.8× 16 0.1× 13 392
Y. Hashiyada Japan 17 199 0.7× 291 1.4× 510 2.6× 223 1.6× 20 0.1× 32 682
Liesl Nel‐Themaat United States 10 135 0.5× 182 0.9× 212 1.1× 170 1.2× 13 0.1× 23 375
Eliza Rossi Komninou Brazil 11 96 0.3× 109 0.5× 136 0.7× 136 1.0× 11 0.1× 29 341

Countries citing papers authored by W. Rens

Since Specialization
Citations

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

Fields of papers citing papers by W. Rens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. Rens

This figure shows the co-authorship network connecting the top 25 collaborators of W. Rens. A scholar is included among the top collaborators of W. Rens 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 W. Rens. W. Rens 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.
Rens, W., et al.. (2013). Traumatic cardiac arrest: When the going gets tough, the tough …get together!. Resuscitation. 84. S98–S98.
2.
Révay, Tamás, Szabolcs Nagy, W. Rens, et al.. (2009). Macrocephaly in Bull Spermatozoa Is Associated with Nuclear Vacuoles, Diploidy and Alteration of Chromatin Condensation. Cytogenetic and Genome Research. 126(1-2). 202–209. 14 indexed citations
3.
Révay, Tamás, Juhani Taponen, Szabolcs Nagy, et al.. (2009). Diploid spermatozoa caused by failure of the second meiotic division in a bull. Theriogenology. 73(4). 421–428. 11 indexed citations
4.
Cai, Ke, et al.. (2005). SINGLE UV EXCITATION OF HOECHST 33342 AND PROPIDIUM IODIDE FOR VIABILITY ASSESSMENT OF RHESUS MONKEY SPERMATOZOA USING FLOW CYTOMETRY. Archives of Andrology. 51(5). 371–383. 18 indexed citations
5.
Rens, W., Patricia C. O’Brien, Jennifer A. Marshall Graves, & M.A. Ferguson‐Smith. (2003). Localization of chromosome regions in potoroo nuclei ( Potorous tridactylus Marsupialia: Potoroinae). Chromosoma. 112(2). 66–76. 8 indexed citations
6.
Révay, Tamás, et al.. (2003). Detection of Water Buffalo Sex Chromosomes in Spermatozoa by Fluorescence in situ Hybridization. Reproduction in Domestic Animals. 38(5). 377–379. 4 indexed citations
7.
Révay, Tamás, András Kovács, W. Rens, & I. Gustavsson. (2002). Simultaneous detection of viability and sex of bovine spermatozoa. Reproduction Fertility and Development. 14(6). 373–376. 13 indexed citations
8.
Nie, Wei, et al.. (2001). Conserved chromosome segments in <i>Hylobates hoolock</i> revealed by human and <i>H. leucogenys</i> paint probes. Cytogenetic and Genome Research. 92(3-4). 248–253. 36 indexed citations
9.
Rens, W., Fengtang Yang, G. Rickey Welch, et al.. (2001). An X-Y paint set and sperm FISH protocol that can be used for validation of cattle sperm separation procedures. Reproduction. 121(4). 541–546. 41 indexed citations
10.
Welch, Glenn R., et al.. (1999). The Beltsville sperm sexing technology: high-speed sperm sorting gives improved sperm output for in vitro fertilization and AI. Journal of Animal Science. 77(suppl_2). 213–213. 76 indexed citations
11.
Rens, W., Glenn R. Welch, & Lawrence A. Johnson. (1998). A novel nozzle for more efficient sperm orientation to improve sorting efficiency of X and Y chromosome-bearing sperm. Cytometry. 33(4). 476–481. 50 indexed citations
12.
Rens, W., Glenn R. Welch, David W. Houck, Carel H. van Oven, & Lawrence A. Johnson. (1996). Slit-scan flow cytometry for consistent high resolution DNA analysis of X- and Y-chromosome bearing sperm. Cytometry. 25(2). 191–199. 9 indexed citations
13.
Boei, J.J.W.A., A.S. Balajee, P. de Boer, et al.. (1994). Construction of Mouse Chromosome-specific DNA Libraries and Their Use for the Detection of X-ray-induced Aberrations. International Journal of Radiation Biology. 65(5). 583–590. 49 indexed citations
14.
Rens, W., Carel H. van Oven, Jan Stap, Marja E. Jakobs, & Jacob A. Aten. (1994). Slit‐scanning technique using standard cell sorter instruments for analyzing and sorting nonacrocentric human chromosomes, including small ones. Cytometry. 16(1). 80–87. 8 indexed citations
15.
Buys, Charles H.C.M., Anneke Y. van der Veen, W. Rens, et al.. (1993). Identification of a tumor marker chromosome by flow sorting, DNA amplification in vitro, and in situ hybridization of the amplified product. Genes Chromosomes and Cancer. 6(1). 10–16. 10 indexed citations
16.
Hausmann, Michael, et al.. (1993). Time-optimized analysis of slit-scan chromosome profiles on a general-purpose personal computer. Computer applications in the biosciences. 9(4). 381–385. 2 indexed citations
17.
Rens, W., et al.. (1992). Detection of recurrent chromosome abnormalities in Ewing's sarcoma and peripheral neuroectodermal tumor cells using bivariate flow karyotyping. Genes Chromosomes and Cancer. 5(4). 375–384. 3 indexed citations
18.
Manders, Erik M. M., et al.. (1992). Semi‐automated detection of aberrant chromosomes in bivariate flow karyotypes. Cytometry. 13(5). 469–477. 18 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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