Tyler B. Moran

1.2k total citations
17 papers, 848 citations indexed

About

Tyler B. Moran is a scholar working on Molecular Biology, Hematology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Tyler B. Moran has authored 17 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Hematology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Tyler B. Moran's work include Acute Myeloid Leukemia Research (4 papers), Genomics and Chromatin Dynamics (4 papers) and Platelet Disorders and Treatments (3 papers). Tyler B. Moran is often cited by papers focused on Acute Myeloid Leukemia Research (4 papers), Genomics and Chromatin Dynamics (4 papers) and Platelet Disorders and Treatments (3 papers). Tyler B. Moran collaborates with scholars based in United States, Japan and Spain. Tyler B. Moran's co-authors include Alan Cantor, Stuart H. Orkin, Yocheved L. Schindler, Ernest Fraenkel, Huafeng Xie, Ming Yu, Andrew J. Woo, Hui Huang, Mitchell J. Weiss and Ross C. Hardison and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Genes & Development.

In The Last Decade

Tyler B. Moran

17 papers receiving 840 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tyler B. Moran United States	11	625	220	141	136	78	17	848
Carrie Rakowski United States	7	787 1.3×	131 0.6×	95 0.7×	108 0.8×	83 1.1×	7	904
Dominic J. Ciavatta United States	14	526 0.8×	176 0.8×	210 1.5×	329 2.4×	139 1.8×	23	963
Maria Teresa Quaranta Italy	16	482 0.8×	195 0.9×	175 1.2×	75 0.6×	65 0.8×	26	790
Sara Mongiorgi Italy	21	827 1.3×	359 1.6×	97 0.7×	166 1.2×	88 1.1×	51	1.1k
Yukiko Aikawa Japan	11	582 0.9×	216 1.0×	85 0.6×	30 0.2×	59 0.8×	21	719
Kimberly R. Blahnik United States	7	691 1.1×	91 0.4×	55 0.4×	55 0.4×	83 1.1×	7	782
Maurizio Trubia Italy	16	303 0.5×	155 0.7×	52 0.4×	79 0.6×	80 1.0×	18	615
Naruyoshi Suwabe Japan	15	917 1.5×	365 1.7×	245 1.7×	284 2.1×	91 1.2×	23	1.3k
Letetia C. Jones United States	14	262 0.4×	340 1.5×	84 0.6×	215 1.6×	38 0.5×	16	691
John M. Joslin United States	7	291 0.5×	199 0.9×	37 0.3×	70 0.5×	79 1.0×	10	552

Countries citing papers authored by Tyler B. Moran

Since Specialization

Citations

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

Fields of papers citing papers by Tyler B. Moran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tyler B. Moran. 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 Tyler B. Moran. The network helps show where Tyler B. Moran may publish in the future.

Co-authorship network of co-authors of Tyler B. Moran

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

All Works

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17 of 17 papers shown

Kianoush, Sina, Mahmoud Al Rifai, Jaideep Patel, et al.. (2022). Association of participation in Cardiac Rehabilitation with Social Vulnerability Index: The behavioral risk factor surveillance system. Progress in Cardiovascular Diseases. 71. 86–91. 10 indexed citations

Moran, Tyler B. & Juan Carlos Plana. (2020). Management of Patients with Acute Coronary Syndrome and Cancer. Current Cardiology Reports. 22(12). 159–159. 11 indexed citations

Hor, Kan N., et al.. (2016). ECG abnormalities correlate with myocardial fibrosis by cardiac magnetic resonance imaging in DMD. Neuromuscular Disorders. 26. S121–S121. 2 indexed citations

Moran, Tyler B. & Antonio Fontdevila. (2014). Genome-Wide Dissection of Hybrid Sterility in Drosophila Confirms a Polygenic Threshold Architecture. Journal of Heredity. 105(3). 381–396. 15 indexed citations

Yu, Ming, Tali Mazor, Hui Huang, et al.. (2012). Direct Recruitment of Polycomb Repressive Complex 1 (PRC1) to Chromatin by Core Binding Transcription Factors. Europe PMC (PubMed Central). 160 indexed citations

Huang, Hui, Andrew J. Woo, Yocheved L. Schindler, et al.. (2012). A Src family kinase–Shp2 axis controls RUNX1 activity in megakaryocyte and T-lymphocyte differentiation. Genes & Development. 26(14). 1587–1601. 49 indexed citations

Moran, Tyler B., et al.. (2012). Aryl‐hydrocarbon receptor activity modulates prolactin expression in the pituitary. Toxicology and Applied Pharmacology. 265(1). 139–145. 25 indexed citations

Moran, Tyler B., et al.. (2010). Numb Deletion in POMC-Expressing Cells Impairs Pituitary Intermediate Lobe Cell Adhesion, Progenitor Cell Localization, and Neuro-Intermediate Lobe Boundary Formation. Molecular Endocrinology. 25(1). 117–127. 9 indexed citations

Yu, Ming, Laura Riva, Huafeng Xie, et al.. (2009). Insights into GATA-1-Mediated Gene Activation versus Repression via Genome-wide Chromatin Occupancy Analysis. Molecular Cell. 36(4). 682–695. 250 indexed citations

10.

Huang, Hui, Ming‐Lung Yu, Thomas E. Akie, et al.. (2009). Differentiation-Dependent Interactions between RUNX-1 and FLI-1 during Megakaryocyte Development. Molecular and Cellular Biology. 29(15). 4103–4115. 64 indexed citations

11.

Woo, Andrew J., Tyler B. Moran, Yocheved L. Schindler, et al.. (2008). Identification of ZBP-89 as a Novel GATA-1-Associated Transcription Factor Involved in Megakaryocytic and Erythroid Development. Molecular and Cellular Biology. 28(8). 2675–2689. 56 indexed citations

12.

Cantor, Alan, Hiromi Iwasaki, Yojiro Arinobu, et al.. (2008). Antagonism of FOG-1 and GATA factors in fate choice for the mast cell lineage. The Journal of Experimental Medicine. 205(3). 611–624. 62 indexed citations

13.

Huang, Hui, Ming‐Lung Yu, Tyler B. Moran, et al.. (2008). Differentiation-Dependent Interactions Between Runx-1 and Fli-1 during Megakaryocyte Development. Blood. 112(11). 279–279. 1 indexed citations

14.

Woo, Andrew J., Tyler B. Moran, Seong‐Kyu Choe, et al.. (2006). Identification of Zfp148 (ZBP-89) as a novel GATA-1 associated Kruppel-type zinc finger transcription factor required for megakaryopoiesis and definitive erythropoiesis. Blood Cells Molecules and Diseases. 38(2). 129–130. 1 indexed citations

15.

Woo, Andrew J., Tyler B. Moran, Seong‐Kyu Choe, et al.. (2005). Identification of zfp148 (ZBP-89) as a Novel GATA-1 Associated Transcription Factor Involved in Megakaryopoiesis and Definitive Erythropoiesis.. Blood. 106(11). 828–828. 3 indexed citations

16.

Pal, Saumen, Alan Cantor, Kirby D. Johnson, et al.. (2004). Coregulator-dependent facilitation of chromatin occupancy by GATA-1. Proceedings of the National Academy of Sciences. 101(4). 980–985. 126 indexed citations

17.

Chin, Michael T., et al.. (1998). Pregnancy and delivery in a patient with recent peripartum cardiomyopathy. International Journal of Obstetric Anesthesia. 7(1). 38–41. 4 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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