Sara E. Meyer

1.0k total citations
18 papers, 325 citations indexed

About

Sara E. Meyer is a scholar working on Molecular Biology, Hematology and Cancer Research. According to data from OpenAlex, Sara E. Meyer has authored 18 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Hematology and 6 papers in Cancer Research. Recurrent topics in Sara E. Meyer's work include Acute Myeloid Leukemia Research (11 papers), Epigenetics and DNA Methylation (3 papers) and Cancer Genomics and Diagnostics (3 papers). Sara E. Meyer is often cited by papers focused on Acute Myeloid Leukemia Research (11 papers), Epigenetics and DNA Methylation (3 papers) and Cancer Genomics and Diagnostics (3 papers). Sara E. Meyer collaborates with scholars based in United States, Canada and Netherlands. Sara E. Meyer's co-authors include Susan E. Waltz, H. Leighton Grimes, Robert G. Roeder, Pingping Jiang, SA Khan, Xiaoting Zhang, Qiuping Hu, Mitsuhiro Ito, Bliss Magella and David E. Muench and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Blood.

In The Last Decade

Sara E. Meyer

17 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sara E. Meyer United States	10	223	107	79	60	50	18	325
Leticia Fröhlich Archangelo Brazil	10	251 1.1×	37 0.3×	54 0.7×	26 0.4×	32 0.6×	18	318
Charis A. Venditti United States	7	258 1.2×	55 0.5×	44 0.6×	86 1.4×	42 0.8×	9	354
Michela Faleschini Italy	7	149 0.7×	107 1.0×	48 0.6×	39 0.7×	85 1.7×	20	293
Marianne Santaguida United States	7	199 0.9×	124 1.2×	24 0.3×	50 0.8×	32 0.6×	13	311
Kimberly R. Blahnik United States	7	691 3.1×	91 0.9×	83 1.1×	55 0.9×	104 2.1×	7	782
Esther Tijchon Netherlands	9	218 1.0×	87 0.8×	19 0.2×	51 0.8×	33 0.7×	15	339
Amal Arachiche United States	8	131 0.6×	125 1.2×	46 0.6×	41 0.7×	32 0.6×	11	299
Roel Vandepoel Belgium	12	264 1.2×	97 0.9×	38 0.5×	64 1.1×	61 1.2×	14	439
Ayten Kandilci United States	10	225 1.0×	111 1.0×	20 0.3×	35 0.6×	43 0.9×	17	335
Harry Drabkin United States	10	313 1.4×	96 0.9×	50 0.6×	39 0.7×	34 0.7×	11	441

Countries citing papers authored by Sara E. Meyer

Since Specialization

Citations

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

Fields of papers citing papers by Sara E. Meyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara E. Meyer. 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 Sara E. Meyer. The network helps show where Sara E. Meyer may publish in the future.

Co-authorship network of co-authors of Sara E. Meyer

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

All Works

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18 of 18 papers shown

Bowman, Michael, et al.. (2025). TLR2 agonism suppresses myeloid leukemogenesis by reprogramming leukemia stem cells. Blood Advances. 9(22). 5888–5901.

Riedel, Simone S., Hongbo Xie, Gerald Wertheim, et al.. (2024). FLT3 tyrosine kinase inhibition modulates PRC2 and promotes differentiation in acute myeloid leukemia. Leukemia. 38(2). 291–301. 11 indexed citations

Meyer, Sara E., et al.. (2023). Differences in Anorectal Manometry Values Among Women With Fecal Incontinence in a Racially, Ethnically, and Socioeconomically Diverse Population. Urogynecology. 29(2). 244–251. 1 indexed citations

Feng, Yang, et al.. (2022). miR-196b–TLR7/8 Signaling Axis Regulates Innate Immune Signaling and Myeloid Maturation in DNMT3A -Mutant AML. Clinical Cancer Research. 28(20). 4574–4586. 13 indexed citations

Sidoli, Simone, Simone S. Riedel, Katarzyna Kulej, et al.. (2021). FLT3 Inhibition Downregulates EZH2 in AML and Promotes Myeloid Differentiation. Blood. 138(Supplement 1). 785–785. 1 indexed citations

Meyer, Sara E., et al.. (2020). Genetic heterogeneity and clonal evolution in acute myeloid leukemia. Current Opinion in Hematology. 28(1). 64–70. 18 indexed citations

Miles, Linde A., Robert L. Bowman, Aik T. Ooi, et al.. (2019). Single Cell DNA Sequencing Identifies Combinatorial Mutation Patterns and Clonal Architecture in Myeloid Malignancies. Blood. 134(Supplement_1). 913–913. 1 indexed citations

Meyer, Sara E., David E. Muench, Andrew M. Rogers, et al.. (2018). miR-196b target screen reveals mechanisms maintaining leukemia stemness with therapeutic potential. The Journal of Experimental Medicine. 215(8). 2115–2136. 20 indexed citations

Meyer, Sara E., Tingting Qin, David E. Muench, et al.. (2016). DNMT3A Haploinsufficiency Transforms FLT3 ITD Myeloproliferative Disease into a Rapid, Spontaneous, and Fully Penetrant Acute Myeloid Leukemia. Cancer Discovery. 6(5). 501–515. 70 indexed citations

10.

Raines, Anna M., Mike Adam, Bliss Magella, et al.. (2013). Recombineering-based dissection of flanking and paralogous Hox gene functions in mouse reproductive tracts. Development. 140(14). 2942–2952. 35 indexed citations

11.

Khandanpour, Cyrus, Judith Schütte, Frederique Bouwman, et al.. (2012). The human GFI136N variant induces epigenetic changes at the Hoxa9 locus and accelerates K-RAS driven myeloproliferative disorder in mice. Blood. 120(19). 4006–4017. 33 indexed citations

12.

Meyer, Sara E., et al.. (2011). MicroRNAs in the midst of myeloid signal transduction. Journal of Cellular Physiology. 227(2). 525–533. 1 indexed citations

13.

Khandanpour, Cyrus, Frederique Bouwman, Lothar Vaßen, et al.. (2011). The Growth Factor Independence 1 variant form GFI136N Predisposes to Acute Myeloid Leukemia by Inducing Epigenetic Changes in Oncogenes Such As Hoxa9. Blood. 118(21). 223–223. 4 indexed citations

14.

Meyer, Sara E., Belinda E. Peace, El Mustapha Bahassi, et al.. (2010). Chk2*1100delC Acts in synergy with the Ron receptor tyrosine kinase to accelerate mammary tumorigenesis in mice. Cancer Letters. 296(2). 186–193. 4 indexed citations

15.

Meyer, Sara E., Jason R. Hasenstein, Yan Xu, et al.. (2010). Krüppel-Like Factor 5 Is Not Required for K-RasG12D Lung Tumorigenesis, but Represses ABCG2 Expression and Is Associated with Better Disease-Specific Survival. American Journal Of Pathology. 177(3). 1503–1513. 19 indexed citations

16.

Jiang, Pingping, Qiuping Hu, Mitsuhiro Ito, et al.. (2010). Key roles for MED1 LxxLL motifs in pubertal mammary gland development and luminal-cell differentiation. Proceedings of the National Academy of Sciences. 107(15). 6765–6770. 67 indexed citations

17.

Meyer, Sara E., Susan E. Waltz, & Kathleen H. Goss. (2009). The Ron receptor tyrosine kinase is not required for adenoma formation in Apc^Min/+ mice. Molecular Carcinogenesis. 48(11). 995–1004. 7 indexed citations

18.

Meyer, Sara E., Glendon M. Zinser, William D. Stuart, Peterson Pathrose, & Susan E. Waltz. (2009). The Ron receptor tyrosine kinase negatively regulates mammary gland branching morphogenesis. Developmental Biology. 333(1). 173–185. 20 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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