Lorena Roa-de la Cruz

733 total citations · 1 hit paper
6 papers, 450 citations indexed

About

Lorena Roa-de la Cruz is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Reproductive Medicine. According to data from OpenAlex, Lorena Roa-de la Cruz has authored 6 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Public Health, Environmental and Occupational Health and 3 papers in Reproductive Medicine. Recurrent topics in Lorena Roa-de la Cruz's work include Reproductive Biology and Fertility (4 papers), Sperm and Testicular Function (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Lorena Roa-de la Cruz is often cited by papers focused on Reproductive Biology and Fertility (4 papers), Sperm and Testicular Function (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Lorena Roa-de la Cruz collaborates with scholars based in United States and Mexico. Lorena Roa-de la Cruz's co-authors include Anukriti Singh, Brian P. Hermann, Bryan A. Niedenberger, Ellen K. Velte, Christopher B. Geyer, John R. McCarrey, Keren Cheng, Birgit Westernströer, Jon M. Oatley and Nathan C. Law and has published in prestigious journals such as Development, Cell Reports and PeerJ.

In The Last Decade

Lorena Roa-de la Cruz

6 papers receiving 449 citations

Hit Papers

align trajectories

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.

The Mammalian Spermatogenesis Single-Cell Transcriptome, from Spermatogonial Stem Cells to Spermatids

2018 390 citations Brian P. Hermann, Keren Cheng et al. Cell Reports profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lorena Roa-de la Cruz United States	5	293	233	188	142	40	6	450
Jake D. Lehle United States	4	280 1.0×	212 0.9×	172 0.9×	129 0.9×	38 0.9×	6	436
Sabrina Z. Jan Netherlands	6	227 0.8×	241 1.0×	200 1.1×	135 1.0×	63 1.6×	6	463
Gurpreet Manku Canada	13	182 0.6×	218 0.9×	132 0.7×	142 1.0×	33 0.8×	16	461
Margarita Vigodner United States	11	315 1.1×	162 0.7×	94 0.5×	115 0.8×	26 0.7×	25	442
Wensheng Liu China	13	218 0.7×	220 0.9×	172 0.9×	209 1.5×	34 0.8×	23	467
Sergey Medvedev United States	11	466 1.6×	164 0.7×	262 1.4×	155 1.1×	68 1.7×	22	635
Pawan Puri United States	10	206 0.7×	148 0.6×	104 0.6×	94 0.7×	23 0.6×	19	351
Ellen K. Velte United States	9	438 1.5×	430 1.8×	349 1.9×	234 1.6×	57 1.4×	9	722
Angus D. Macaulay Canada	9	226 0.8×	184 0.8×	341 1.8×	88 0.6×	62 1.6×	17	483
Zhibing Zhang China	10	194 0.7×	152 0.7×	93 0.5×	118 0.8×	48 1.2×	20	384

Countries citing papers authored by Lorena Roa-de la Cruz

Since Specialization

Citations

This map shows the geographic impact of Lorena Roa-de la Cruz'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 Lorena Roa-de la Cruz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorena Roa-de la Cruz more than expected).

Fields of papers citing papers by Lorena Roa-de la Cruz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lorena Roa-de la Cruz. 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 Lorena Roa-de la Cruz. The network helps show where Lorena Roa-de la Cruz may publish in the future.

Co-authorship network of co-authors of Lorena Roa-de la Cruz

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Barton, Lacy J., Lorena Roa-de la Cruz, Ruth Lehmann, & Benjamin Lin. (2024). The journey of a generation: advances and promises in the study of primordial germ cell migration. Development. 151(7). 8 indexed citations

2.

Cruz, Lorena Roa-de la, et al.. (2023). Isolation of Undifferentiated Spermatogonia from Adult and Developing Mouse Testes. Methods in molecular biology. 2656. 179–193. 1 indexed citations

3.

Martínez‐Morales, Patricia, et al.. (2021). Hallmarks of glycogene expression and glycosylation pathways in squamous and adenocarcinoma cervical cancer. PeerJ. 9. e12081–e12081. 8 indexed citations

4.

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

5.

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 →

6.

Cruz, Lorena Roa-de la, Nora Hilda Rosas-Murrieta, Adriana Aguilar‐Lemarroy, et al.. (2018). Expression analysis of ST3GAL4 transcripts in cervical cancer cells. Molecular Medicine Reports. 18(1). 617–621. 12 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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