L.F. Schütz

589 total citations
44 papers, 463 citations indexed

About

L.F. Schütz is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Agronomy and Crop Science. According to data from OpenAlex, L.F. Schütz has authored 44 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Public Health, Environmental and Occupational Health and 11 papers in Agronomy and Crop Science. Recurrent topics in L.F. Schütz's work include Reproductive Biology and Fertility (13 papers), Reproductive Physiology in Livestock (11 papers) and Mycotoxins in Agriculture and Food (8 papers). L.F. Schütz is often cited by papers focused on Reproductive Biology and Fertility (13 papers), Reproductive Physiology in Livestock (11 papers) and Mycotoxins in Agriculture and Food (8 papers). L.F. Schütz collaborates with scholars based in United States, Italy and Philippines. L.F. Schütz's co-authors include L. J. Spicer, F. Caloni, C. Cortinovis, Marco Albonico, Maria Chiara Perego, Nicole B. Schreiber, Tao Feng, Fabiola Pizzo, Pauline Y. Aad and John R. Evans and has published in prestigious journals such as SHILAP Revista de lepidopterología, The FASEB Journal and Chemosphere.

In The Last Decade

L.F. Schütz

42 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L.F. Schütz United States 14 152 148 128 88 80 44 463
Jalal Rostamzadeh Iran 13 75 0.5× 114 0.8× 67 0.5× 96 1.1× 8 0.1× 47 464
F. Jı́lek Czechia 19 123 0.8× 222 1.5× 553 4.3× 167 1.9× 27 0.3× 64 998
J. Bulla Slovakia 17 128 0.8× 145 1.0× 260 2.0× 81 0.9× 6 0.1× 58 671
Yong-Xun Jin South Korea 15 56 0.4× 285 1.9× 359 2.8× 19 0.2× 16 0.2× 38 600
Yang Cui China 12 181 1.2× 247 1.7× 37 0.3× 41 0.5× 7 0.1× 19 558
Alice Desmarchais France 16 12 0.1× 120 0.8× 238 1.9× 142 1.6× 43 0.5× 26 664
Wenlei Cao China 15 179 1.2× 244 1.6× 262 2.0× 21 0.2× 11 0.1× 26 697
Yunwei Pang China 16 61 0.4× 205 1.4× 487 3.8× 105 1.2× 6 0.1× 38 792
Shanjiang Zhao China 15 52 0.3× 205 1.4× 384 3.0× 102 1.2× 5 0.1× 40 705
Hamid Deldar Iran 15 65 0.4× 74 0.5× 133 1.0× 117 1.3× 4 0.1× 42 529

Countries citing papers authored by L.F. Schütz

Since Specialization
Citations

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

Fields of papers citing papers by L.F. Schütz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.F. Schütz. 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 L.F. Schütz. The network helps show where L.F. Schütz may publish in the future.

Co-authorship network of co-authors of L.F. Schütz

This figure shows the co-authorship network connecting the top 25 collaborators of L.F. Schütz. A scholar is included among the top collaborators of L.F. Schütz 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 L.F. Schütz. L.F. Schütz 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.
Spicer, L. J., et al.. (2025). Granulosa cell function in domestic animals: A review on the in vitro effects of FSH, insulin and insulin-like growth factor 1. Domestic Animal Endocrinology. 91. 106919–106919. 3 indexed citations
2.
Schütz, L.F., et al.. (2024). Analysis of physical traits, clinical parameters, and energy metabolism of in vivo‐ and in vitro‐derived Flemish newborn calves during the first day of life. Reproduction in Domestic Animals. 59(7). e14676–e14676. 1 indexed citations
3.
Schütz, L.F., et al.. (2024). Granulosa Cells: Central Regulators of Female Fertility. SHILAP Revista de lepidopterología. 5(4). 547–565. 3 indexed citations
4.
Schütz, L.F., et al.. (2023). In vitro and in vivo embryo production efficiency in Flemish and Holstein donor females. Animal Reproduction. 20(3). e20230080–e20230080. 2 indexed citations
5.
Spicer, L. J., et al.. (2023). Developmental and hormonal regulation of FBN1 and OR4M1 mRNA in bovine granulosa cells. Domestic Animal Endocrinology. 84-85. 106791–106791. 4 indexed citations
6.
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8.
Spicer, L. J. & L.F. Schütz. (2022). Effects of grape phenolics, myricetin and piceatannol, on bovine granulosa and theca cell proliferation and steroid production in vitro. Food and Chemical Toxicology. 167. 113288–113288. 5 indexed citations
9.
Schütz, L.F., Nicole B. Schreiber, C. Cortinovis, et al.. (2022). Changes in fibroblast growth factor receptors-1c, -2c, -3c, and -4 mRNA in granulosa and theca cells during ovarian follicular growth in dairy cattle. Domestic Animal Endocrinology. 80. 106712–106712. 9 indexed citations
10.
Schütz, L.F., et al.. (2019). Regulation of the transcription factor E2F8 gene expression in bovine ovarian cells. Molecular and Cellular Endocrinology. 498. 110572–110572. 12 indexed citations
11.
Schütz, L.F., Robert E. Hurst, Nicole B. Schreiber, & L. J. Spicer. (2018). Transcriptome profiling of bovine ovarian theca cells treated with fibroblast growth factor 9. Domestic Animal Endocrinology. 63. 48–58. 9 indexed citations
12.
Albonico, Marco, L.F. Schütz, F. Caloni, C. Cortinovis, & L. J. Spicer. (2017). In vitro effects of the Fusarium mycotoxins fumonisin B1 and beauvericin on bovine granulosa cell proliferation and steroid production. Toxicon. 128. 38–45. 41 indexed citations
13.
Schütz, L.F., et al.. (2017). Evidence that gene expression of ovarian follicular tight junction proteins is regulated in vivo and in vitro in cattle. Journal of Animal Science. 95(3). 1313–1313. 14 indexed citations
14.
Feng, Tao, et al.. (2017). Effects of N-carbamylglutamate and L-arginine on steroidogenesis and gene expression in bovine granulosa cells. Animal Reproduction Science. 188. 85–92. 15 indexed citations
15.
Perego, Maria Chiara, F. Caloni, C. Cortinovis, et al.. (2017). Influence of a Roundup formulation on glyphosate effects on steroidogenesis and proliferation of bovine granulosa cells in vitro. Chemosphere. 188. 274–279. 41 indexed citations
16.
Schütz, L.F., et al.. (2017). Evidence that gene expression of ovarian follicular tight junction proteins is regulated in vivo and in vitro in cattle1. Journal of Animal Science. 95(3). 1313–1324. 18 indexed citations
17.
Caloni, F., Marco Albonico, L.F. Schütz, C. Cortinovis, & L. J. Spicer. (2015). In vitro effects of glyphosate on cell proliferation and steroid production by bovine granulosa cells. Toxicology Letters. 238(2). S290–S290. 1 indexed citations
18.
19.
Pizzo, Fabiola, et al.. (2015). Individual and combined effects of deoxynivalenol and α-zearalenol on cell proliferation and steroidogenesis of granulosa cells in cattle. Environmental Toxicology and Pharmacology. 40(3). 722–728. 23 indexed citations
20.
Pizzo, Fabiola, F. Caloni, Nicole B. Schreiber, et al.. (2014). Direct effects of the algal toxin, domoic acid, on ovarian function: Bovine granulosa and theca cells as an in vitro model. Ecotoxicology and Environmental Safety. 113. 314–320. 6 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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