Mark V. Sauer

1.9k total citations
28 papers, 1.3k citations indexed

About

Mark V. Sauer is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Reproductive Medicine. According to data from OpenAlex, Mark V. Sauer has authored 28 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 10 papers in Public Health, Environmental and Occupational Health and 6 papers in Reproductive Medicine. Recurrent topics in Mark V. Sauer's work include Pluripotent Stem Cells Research (10 papers), Reproductive Biology and Fertility (9 papers) and CRISPR and Genetic Engineering (7 papers). Mark V. Sauer is often cited by papers focused on Pluripotent Stem Cells Research (10 papers), Reproductive Biology and Fertility (9 papers) and CRISPR and Genetic Engineering (7 papers). Mark V. Sauer collaborates with scholars based in United States, Israel and Germany. Mark V. Sauer's co-authors include Dieter Egli, Ralf Zimmermann, Robert Prosser, Daniel Paull, Peter Böhlen, Jan Kitajewski, T. D. Hartman, Robin Goland, Samuel A. Pauli and Suzanne Kavic and has published in prestigious journals such as Nature, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Mark V. Sauer

27 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark V. Sauer United States 17 990 360 245 212 147 28 1.3k
Mitsutoshi Yamada Japan 14 529 0.5× 319 0.9× 174 0.7× 123 0.6× 144 1.0× 62 948
Jay L. Vivian United States 20 947 1.0× 107 0.3× 66 0.3× 247 1.2× 141 1.0× 45 1.3k
Ana Elisa C. Billerbeck Brazil 23 1.1k 1.1× 59 0.2× 161 0.7× 747 3.5× 67 0.5× 53 1.5k
Brian R. Keegan United States 13 1.1k 1.1× 74 0.2× 88 0.4× 151 0.7× 52 0.4× 19 1.4k
Mark Kibschull Canada 21 746 0.8× 166 0.5× 180 0.7× 126 0.6× 143 1.0× 34 1.3k
Julie Steffann France 23 809 0.8× 111 0.3× 54 0.2× 445 2.1× 346 2.4× 67 1.4k
James S. Palmer Australia 12 481 0.5× 191 0.5× 103 0.4× 246 1.2× 65 0.4× 15 1.3k
Elen Gócza Hungary 16 1.1k 1.1× 207 0.6× 84 0.3× 411 1.9× 67 0.5× 50 1.5k
Ali Hellani Saudi Arabia 14 286 0.3× 164 0.5× 86 0.4× 333 1.6× 311 2.1× 39 787
J. Witmyer United States 11 748 0.8× 714 2.0× 641 2.6× 140 0.7× 341 2.3× 19 1.6k

Countries citing papers authored by Mark V. Sauer

Since Specialization
Citations

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

Fields of papers citing papers by Mark V. Sauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark V. Sauer. 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 Mark V. Sauer. The network helps show where Mark V. Sauer may publish in the future.

Co-authorship network of co-authors of Mark V. Sauer

This figure shows the co-authorship network connecting the top 25 collaborators of Mark V. Sauer. A scholar is included among the top collaborators of Mark V. Sauer 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 Mark V. Sauer. Mark V. Sauer 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.
Sauer, Mark V., et al.. (2022). lncRNAMalat1and miR-26 cooperate in the regulation of neuronal progenitor cell proliferation and differentiation. RNA. 29(1). 69–81. 5 indexed citations
2.
Chia, Gloryn, Judith Agudo, Nathan R. Treff, et al.. (2017). Genomic instability during reprogramming by nuclear transfer is DNA replication dependent. Nature Cell Biology. 19(4). 282–291. 25 indexed citations
3.
Engelstad, Kristin, Miriam Sklerov, Joshua Kriger, et al.. (2016). Attitudes toward prevention of mtDNA-related diseases through oocyte mitochondrial replacement therapy. Human Reproduction. 31(5). 1058–1065. 14 indexed citations
4.
Yamada, Mitsutoshi, Valentina Emmanuele, Maria J. Sanchez‐Quintero, et al.. (2016). Genetic Drift Can Compromise Mitochondrial Replacement by Nuclear Transfer in Human Oocytes. Cell stem cell. 18(6). 749–754. 117 indexed citations
5.
Sagi, Ido, Gloryn Chia, Tamar Golan‐Lev, et al.. (2016). Derivation and differentiation of haploid human embryonic stem cells. Nature. 532(7597). 107–111. 117 indexed citations
6.
Klitzman, Robert, Mark Toynbee, & Mark V. Sauer. (2014). Controversies concerning mitochondrial replacement therapy. Fertility and Sterility. 103(2). 344–346. 13 indexed citations
7.
Jóhannesson, Bjarki, Ido Sagi, Athurva Gore, et al.. (2014). Comparable Frequencies of Coding Mutations and Loss of Imprinting in Human Pluripotent Cells Derived by Nuclear Transfer and Defined Factors. Cell stem cell. 15(5). 634–642. 95 indexed citations
8.
Yamada, Mitsutoshi, Bjarki Jóhannesson, Ido Sagi, et al.. (2014). Human oocytes reprogram adult somatic nuclei of a type 1 diabetic to diploid pluripotent stem cells. Nature. 510(7506). 533–536. 131 indexed citations
9.
10.
Tanaka, Akemi, Mark V. Sauer, Dieter Egli, & Daniel H. Kort. (2013). Harnessing the Stem Cell Potential: The path to prevent mitochondrial disease. Nature Medicine. 19(12). 1578–1579. 14 indexed citations
11.
Paull, Daniel, Valentina Emmanuele, Nathan R. Treff, et al.. (2012). Nuclear genome transfer in human oocytes eliminates mitochondrial DNA variants. Nature. 493(7434). 632–637. 185 indexed citations
12.
Douglas, Nataki C., et al.. (2011). Dynamic expression of Tbx2 subfamily genes in development of the mouse reproductive system. Developmental Dynamics. 241(2). 365–375. 19 indexed citations
13.
Noggle, Scott, Ho-Lim Fung, Athurva Gore, et al.. (2011). Human oocytes reprogram somatic cells to a pluripotent state. Nature. 478(7367). 70–75. 136 indexed citations
14.
Gavrilov, Svetlana, Robert Prosser, Joanne Macdonald, et al.. (2009). Non-viable human embryos as a source of viable cells for embryonic stem cell derivation. Reproductive BioMedicine Online. 18(2). 301–308. 9 indexed citations
15.
Wang, Jeff G., et al.. (2006). Initial presentation of undiagnosed acute intermittent porphyria as a rare complication of ovulation induction. Fertility and Sterility. 86(2). 462.e1–462.e3. 20 indexed citations
16.
Nakhuda, Gary S., Ralf Zimmermann, Peter Böhlen, et al.. (2005). Inhibition of the Vascular Endothelial Cell (VE)-Specific Adhesion Molecule VE-Cadherin Blocks Gonadotropin-Dependent Folliculogenesis and Corpus Luteum Formation and Angiogenesis. Endocrinology. 146(3). 1053–1059. 20 indexed citations
17.
Zimmermann, Ralf, T. D. Hartman, Suzanne Kavic, et al.. (2003). Vascular endothelial growth factor receptor 2–mediated angiogenesis is essential for gonadotropin-dependent follicle development. Journal of Clinical Investigation. 112(5). 659–669. 99 indexed citations
18.
Sauer, Mark V.. (2001). In Defense of Selection for Nondisease Genes. The American Journal of Bioethics. 1(1). 28–29. 1 indexed citations
19.
Zimmermann, Ralf, T. D. Hartman, Peter Böhlen, Mark V. Sauer, & Jan Kitajewski. (2001). Preovulatory Treatment of Mice with Anti-VEGF Receptor 2 Antibody Inhibits Angiogenesis in Corpora Lutea. Microvascular Research. 62(1). 15–25. 64 indexed citations
20.
Sauer, Mark V.. (1996). Laparoscopy after multiple follicle aspirations fails to demonstrate pathology in oocyte donors. Journal of Assisted Reproduction and Genetics. 13(5). 450–452. 1 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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