Monica Yu

881 total citations
8 papers, 705 citations indexed

About

Monica Yu is a scholar working on Molecular Biology, Hematology and Cell Biology. According to data from OpenAlex, Monica Yu has authored 8 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Hematology and 2 papers in Cell Biology. Recurrent topics in Monica Yu's work include Developmental Biology and Gene Regulation (3 papers), Platelet Disorders and Treatments (2 papers) and Epigenetics and DNA Methylation (2 papers). Monica Yu is often cited by papers focused on Developmental Biology and Gene Regulation (3 papers), Platelet Disorders and Treatments (2 papers) and Epigenetics and DNA Methylation (2 papers). Monica Yu collaborates with scholars based in United States and Canada. Monica Yu's co-authors include David Flowers, Steven J. Staats, Barbara Varnum‐Finney, Irwin D. Bernstein, Carolyn Brashem‐Stein, Lizi Wu, James D. Griffin, Grace Gray, Kateri Moore and Robert S. Mann and has published in prestigious journals such as Blood, Journal of Cell Science and Pediatric Research.

In The Last Decade

Monica Yu

8 papers receiving 696 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Monica Yu United States	6	411	158	135	89	70	8	705
Brigit R. Taylor United States	11	532 1.3×	276 1.7×	72 0.5×	71 0.8×	114 1.6×	13	895
Claudiu Cotta United States	16	294 0.7×	182 1.2×	126 0.9×	65 0.7×	123 1.8×	50	638
Sonja Babovic Canada	9	415 1.0×	308 1.9×	296 2.2×	81 0.9×	93 1.3×	11	813
Ngaire Elwood Australia	15	465 1.1×	226 1.4×	199 1.5×	191 2.1×	124 1.8×	44	846
Irene Wong United States	8	326 0.8×	88 0.6×	71 0.5×	156 1.8×	39 0.6×	14	520
Ganesan Keerthivasan United States	9	283 0.7×	80 0.5×	89 0.7×	70 0.8×	65 0.9×	13	489
Behzad Kharabi Masouleh United States	13	355 0.9×	95 0.6×	81 0.6×	222 2.5×	49 0.7×	36	691
Marc Shuman United States	11	396 1.0×	126 0.8×	62 0.5×	56 0.6×	259 3.7×	20	1.1k
Pamela Daher United States	10	299 0.7×	331 2.1×	158 1.2×	90 1.0×	163 2.3×	15	727
Alice B. Salter United States	8	263 0.6×	278 1.8×	109 0.8×	72 0.8×	128 1.8×	9	603

Countries citing papers authored by Monica Yu

Since Specialization

Citations

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

Fields of papers citing papers by Monica Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Monica Yu. 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 Monica Yu. The network helps show where Monica Yu may publish in the future.

Co-authorship network of co-authors of Monica Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Monica Yu. A scholar is included among the top collaborators of Monica Yu 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 Monica Yu. Monica Yu 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:

8 of 8 papers shown

1.

Tammemägi, Martin C., et al.. (2017). P1.03-059 Organized High Risk Lung Cancer Screening in Ontario, Canada: A Multi-Centre Prospective Evaluation. Journal of Thoracic Oncology. 12(1). S579–S579. 4 indexed citations

2.

Poon, Rita, et al.. (2013). Participation of Women and Sex Analyses in Late-Phase Clinical Trials of New Molecular Entity Drugs and Biologics Approved by the FDA in 2007–2009. Journal of Women s Health. 22(7). 604–616. 69 indexed citations

3.

Varnum‐Finney, Barbara, Lizi Wu, Monica Yu, et al.. (2000). Immobilization of Notch ligand, Delta-1, is required for induction of Notch signaling. Journal of Cell Science. 113(23). 4313–4318. 255 indexed citations

4.

Varnum‐Finney, Barbara, Louise E. Purton, Monica Yu, et al.. (1998). The Notch Ligand, Jagged-1, Influences the Development of Primitive Hematopoietic Precursor Cells. Blood. 91(11). 4084–4091. 285 indexed citations

5.

Varnum‐Finney, Barbara, Louise E. Purton, Monica Yu, et al.. (1998). The Notch Ligand, Jagged-1, Influences the Development of Primitive Hematopoietic Precursor Cells. Blood. 91(11). 4084–4091. 22 indexed citations

6.

Mackall, Crystal L., Catherine V. Bare, Margaret R. Brown, et al.. (1996). IMPAIRED IMMUNE RECONSTITUTION POST SEQUENTIAL HIGH-DOSE CHEMOTHERAPY AND PERIPHERAL BLOOD PROGENITOR CELL (PBPC) INFUSION. † 962. Pediatric Research. 39. 163–163. 1 indexed citations

7.

Maciejewski, Jaroslaw P., Neal S. Young, Monica Yu, Stacie M. Anderson, & Elaine M. Sloand. (1996). ANALYSIS OF THE EXPRESSION OF GLYCOSYLPHOSPHATIDYLINOSITOL ANCHORED PROTEINS ON PLATELETS FROM PATIENTS WITH PAROXYSMAL NOCTURNAL HEMOGLOBINURIA. Thrombosis Research. 83(6). 433–447. 32 indexed citations

8.

Sloand, Elaine M., David Alyono, Harvey G. Klein, et al.. (1994). 1‐deamino‐8‐D‐arginine vasopressin (DCAVP) increases platelet membrane expression of glycoprotein Ib in patients with disorders of platelet function and after cardiopulmonary bypass. American Journal of Hematology. 46(3). 199–207. 37 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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