Shannon McKinney‐Freeman

5.2k total citations
55 papers, 2.1k citations indexed

About

Shannon McKinney‐Freeman is a scholar working on Molecular Biology, Hematology and Cell Biology. According to data from OpenAlex, Shannon McKinney‐Freeman has authored 55 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 27 papers in Hematology and 18 papers in Cell Biology. Recurrent topics in Shannon McKinney‐Freeman's work include Hematopoietic Stem Cell Transplantation (25 papers), Zebrafish Biomedical Research Applications (18 papers) and Mesenchymal stem cell research (12 papers). Shannon McKinney‐Freeman is often cited by papers focused on Hematopoietic Stem Cell Transplantation (25 papers), Zebrafish Biomedical Research Applications (18 papers) and Mesenchymal stem cell research (12 papers). Shannon McKinney‐Freeman collaborates with scholars based in United States, United Kingdom and China. Shannon McKinney‐Freeman's co-authors include Margaret A. Goodell, George Q. Daley, Fernando D. Camargo, Kathyjo A. Jackson, Olaia Naveiras, Fulvio Mavilio, Giuliana Ferrari, Miguel Ganuza, Pamela L. Wenzel and Momoko Yoshimoto and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Shannon McKinney‐Freeman

49 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shannon McKinney‐Freeman United States 20 1.3k 677 586 453 407 55 2.1k
Andrea Ditadi United States 17 1.4k 1.1× 763 1.1× 321 0.5× 245 0.5× 351 0.9× 24 2.1k
Christos Gekas United States 16 802 0.6× 575 0.8× 643 1.1× 287 0.6× 484 1.2× 34 1.7k
Albrecht Müller Germany 25 1.9k 1.5× 946 1.4× 662 1.1× 471 1.0× 798 2.0× 72 3.2k
Daylon James United States 19 2.4k 1.9× 454 0.7× 511 0.9× 400 0.9× 411 1.0× 40 3.9k
Kristin Chadwick Canada 10 1.4k 1.1× 245 0.4× 324 0.6× 299 0.7× 171 0.4× 11 1.7k
Anne D. Koniski United States 14 734 0.6× 644 1.0× 409 0.7× 157 0.3× 619 1.5× 32 1.7k
Manuela Tavian France 26 1.4k 1.1× 1.1k 1.7× 786 1.3× 689 1.5× 966 2.4× 47 3.2k
Lisa Gallacher Canada 19 1.2k 1.0× 211 0.3× 716 1.2× 498 1.1× 400 1.0× 23 2.0k
Kenichi Miharada Japan 18 751 0.6× 258 0.4× 435 0.7× 417 0.9× 247 0.6× 43 1.7k
Carolyn Brashem‐Stein United States 13 1.3k 1.0× 274 0.4× 994 1.7× 545 1.2× 516 1.3× 15 2.2k

Countries citing papers authored by Shannon McKinney‐Freeman

Since Specialization
Citations

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

Fields of papers citing papers by Shannon McKinney‐Freeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shannon McKinney‐Freeman. 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 Shannon McKinney‐Freeman. The network helps show where Shannon McKinney‐Freeman may publish in the future.

Co-authorship network of co-authors of Shannon McKinney‐Freeman

This figure shows the co-authorship network connecting the top 25 collaborators of Shannon McKinney‐Freeman. A scholar is included among the top collaborators of Shannon McKinney‐Freeman 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 Shannon McKinney‐Freeman. Shannon McKinney‐Freeman 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.
Ganuza, Miguel, Antonio Morales‐Hernández, Trent Hall, et al.. (2024). Neurobeachin regulates hematopoietic progenitor differentiation and survival by modulating Notch activity. Blood Advances. 8(15). 4129–4143. 1 indexed citations
2.
Derecka, Marta, et al.. (2024). Author Correction: The role of the haematopoietic stem cell niche in development and ageing. Nature Reviews Molecular Cell Biology. 26(1). 80–80.
3.
Morales‐Hernández, Antonio, et al.. (2024). GPRASP protein deficiency triggers lymphoproliferative disease by affecting B‐cell differentiation. HemaSphere. 8(11). e70037–e70037.
4.
Oak, Ninad, Ruopeng Feng, Ilaria Iacobucci, et al.. (2023). ETV6 represses inflammatory response genes and regulates HSPC function during stress hematopoiesis in mice. Blood Advances. 7(18). 5608–5623. 9 indexed citations
5.
Walker, Megan, Yichao Li, Antonio Morales‐Hernández, et al.. (2022). An NFIX-mediated regulatory network governs the balance of hematopoietic stem and progenitor cells during hematopoiesis. Blood Advances. 7(17). 4677–4689. 12 indexed citations
6.
Oak, Ninad, Ruopeng Feng, Xujie Zhao, et al.. (2022). ETV6 Represses TNF during Stress Hematopoiesis and Regulates HSC Self Renewal. Blood. 140(Supplement 1). 2849–2850.
7.
Goodings, Charnise, Xujie Zhao, Shannon McKinney‐Freeman, Hui Zhang, & Jun J. Yang. (2020). <i>ARID5B</i> influences B-cell development and function in mouse. Haematologica. 108(10). 2877–2877.
8.
Hall, Trent, et al.. (2019). Murine Fetal Bone Marrow HSPCs Undergo a Dramatic Shift in Frequency at Birth. Blood. 134(Supplement_1). 2471–2471. 1 indexed citations
9.
Hall, Trent, Megan Walker, Per Holmfeldt, et al.. (2017). Nfix  Promotes Survival of Immature Hematopoietic Cells Via Regulation of C-Mpl. Blood. 130. 2423. 1 indexed citations
10.
Ganuza, Miguel, et al.. (2016). NBEA: A novel regulator of hematopoietic stem cell in vivo repopulation. Experimental Hematology. 44(9). S72–S72.
11.
Li, Pulin, Vera Binder, Emily K. Pugach, et al.. (2015). Epoxyeicosatrienoic acids enhance embryonic haematopoiesis and adult marrow engraftment. Nature. 523(7561). 468–471. 82 indexed citations
12.
13.
Gustafsson, Karin, Garrett C. Heffner, Pamela L. Wenzel, et al.. (2013). The Src homology 2 protein Shb promotes cell cycle progression in murine hematopoietic stem cells by regulation of focal adhesion kinase activity. Experimental Cell Research. 319(12). 1852–1864. 12 indexed citations
14.
McKinney‐Freeman, Shannon, Patrick Cahan, Hu Li, et al.. (2012). The Transcriptional Landscape of Hematopoietic Stem Cell Ontogeny. Cell stem cell. 11(5). 701–714. 141 indexed citations
15.
Koo, Sun Hoe, Brian J.P. Huntly, Yuan Wang, et al.. (2010). Cdx4 is dispensable for murine adult hematopoietic stem cells but promotes MLL-AF9-mediated leukemogenesis. Haematologica. 95(10). 1642–1650. 13 indexed citations
16.
Adamo, Luigi, Olaia Naveiras, Pamela L. Wenzel, et al.. (2009). Biomechanical forces promote embryonic haematopoiesis. Nature. 459(7250). 1131–1135. 395 indexed citations
17.
McKinney‐Freeman, Shannon & George Q. Daley. (2007). Towards hematopoietic reconstitution from embryonic stem cells: a sanguine future. Current Opinion in Hematology. 14(4). 343–347. 14 indexed citations
18.
Lengerke, Claudia, Shannon McKinney‐Freeman, Olaia Naveiras, et al.. (2007). The Cdx‐Hox Pathway in Hematopoietic Stem Cell Formation from Embryonic Stem Cells. Annals of the New York Academy of Sciences. 1106(1). 197–208. 23 indexed citations
19.
McKinney‐Freeman, Shannon, Susan M. Majka, Kathyjo A. Jackson, et al.. (2003). Altered phenotype and reduced function of muscle-derived hematopoietic stem cells. Experimental Hematology. 31(9). 806–814. 43 indexed citations
20.
McKinney‐Freeman, Shannon, Kathyjo A. Jackson, Fernando D. Camargo, et al.. (2002). Muscle-derived hematopoietic stem cells are hematopoietic in origin. Proceedings of the National Academy of Sciences. 99(3). 1341–1346. 362 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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