Ellen K. Velte

1.1k total citations · 1 hit paper
9 papers, 722 citations indexed

About

Ellen K. Velte is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine and Molecular Biology. According to data from OpenAlex, Ellen K. Velte has authored 9 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Public Health, Environmental and Occupational Health, 9 papers in Reproductive Medicine and 5 papers in Molecular Biology. Recurrent topics in Ellen K. Velte's work include Sperm and Testicular Function (9 papers), Reproductive Biology and Fertility (9 papers) and Renal and related cancers (4 papers). Ellen K. Velte is often cited by papers focused on Sperm and Testicular Function (9 papers), Reproductive Biology and Fertility (9 papers) and Renal and related cancers (4 papers). Ellen K. Velte collaborates with scholars based in United States. Ellen K. Velte's co-authors include Christopher B. Geyer, Bryan A. Niedenberger, Brian P. Hermann, John R. McCarrey, Kazadi Nadine Mutoji, Jon M. Oatley, Anukriti Singh, Lorena Roa-de la Cruz, Keren Cheng and Melissa J. Oatley and has published in prestigious journals such as Development, Developmental Biology and Cell Reports.

In The Last Decade

Ellen K. Velte

9 papers receiving 712 citations

Hit Papers

The Mammalian Spermatogenesis Single-Cell Transcriptome, ... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ellen K. Velte United States 9 438 430 349 234 57 9 722
Bryan A. Niedenberger United States 11 494 1.1× 489 1.1× 392 1.1× 261 1.1× 65 1.1× 16 831
Betty Féret France 9 492 1.1× 355 0.8× 270 0.8× 331 1.4× 36 0.6× 14 776
Ewa Wilson United States 7 271 0.6× 395 0.9× 212 0.6× 202 0.9× 51 0.9× 7 643
Elizabeth M. Snyder United States 13 354 0.8× 280 0.7× 220 0.6× 200 0.9× 69 1.2× 23 555
Yanan Hai China 10 219 0.5× 309 0.7× 218 0.6× 138 0.6× 73 1.3× 11 498
Sabrina Z. Jan Netherlands 6 227 0.5× 241 0.6× 200 0.6× 135 0.6× 63 1.1× 6 463
Nadège Vernet France 17 657 1.5× 541 1.3× 332 1.0× 540 2.3× 39 0.7× 22 1.0k
Chad M. Wayne United States 8 376 0.9× 300 0.7× 343 1.0× 303 1.3× 36 0.6× 8 729
Heng-Yu Fan China 8 442 1.0× 154 0.4× 290 0.8× 127 0.5× 50 0.9× 12 680
Lorena Roa-de la Cruz United States 5 293 0.7× 233 0.5× 188 0.5× 142 0.6× 40 0.7× 6 450

Countries citing papers authored by Ellen K. Velte

Since Specialization
Citations

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

Fields of papers citing papers by Ellen K. Velte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ellen K. Velte. 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 Ellen K. Velte. The network helps show where Ellen K. Velte may publish in the future.

Co-authorship network of co-authors of Ellen K. Velte

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

All Works

9 of 9 papers shown
1.
Velte, Ellen K., Bryan A. Niedenberger, Anukriti Singh, et al.. (2019). Differential RA responsiveness directs formation of functionally distinct spermatogonial populations at the initiation of spermatogenesis in the mouse. Development. 146(12). 31 indexed citations
2.
Hermann, Brian P., Keren Cheng, Anukriti Singh, et al.. (2018). The Mammalian Spermatogenesis Single-Cell Transcriptome, from Spermatogonial Stem Cells to Spermatids. Cell Reports. 25(6). 1650–1667.e8. 390 indexed citations breakdown →
3.
Velte, Ellen K., et al.. (2018). The mTORC1 component RPTOR is required for maintenance of the foundational spermatogonial stem cell pool in mice†. Biology of Reproduction. 100(2). 429–439. 24 indexed citations
4.
Niedenberger, Bryan A., Valentina Baena, Ellen K. Velte, et al.. (2018). Dynamic cytoplasmic projections connect mammalian spermatogonia in vivo. Development. 145(15). 18 indexed citations
5.
Velte, Ellen K., et al.. (2017). Cell-autonomous requirement for mammalian target of rapamycin (Mtor) in spermatogonial proliferation and differentiation in the mouse†. Biology of Reproduction. 96(4). 816–828. 41 indexed citations
6.
Mutoji, Kazadi Nadine, Anukriti Singh, Thien S. Nguyen, et al.. (2016). TSPAN8 Expression Distinguishes Spermatogonial Stem Cells in the Prepubertal Mouse Testis. Biology of Reproduction. 95(6). 117–117. 32 indexed citations
7.
Busada, Jonathan T., Ellen K. Velte, Bryan A. Niedenberger, et al.. (2016). Rhox13 is required for a quantitatively normal first wave of spermatogenesis in mice. Reproduction. 152(5). 379–388. 27 indexed citations
8.
Busada, Jonathan T., Bryan A. Niedenberger, Ellen K. Velte, Brett D. Keiper, & Christopher B. Geyer. (2015). Mammalian target of rapamycin complex 1 (mTORC1) Is required for mouse spermatogonial differentiation in vivo. Developmental Biology. 407(1). 90–102. 75 indexed citations
9.
Hermann, Brian P., Kazadi Nadine Mutoji, Ellen K. Velte, et al.. (2015). Transcriptional and Translational Heterogeneity among Neonatal Mouse Spermatogonia1. Biology of Reproduction. 92(2). 54–54. 84 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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