Malea M. Murphy

7.2k total citations · 6 hit papers
18 papers, 4.9k citations indexed

About

Malea M. Murphy is a scholar working on Genetics, Hematology and Molecular Biology. According to data from OpenAlex, Malea M. Murphy has authored 18 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 7 papers in Hematology and 6 papers in Molecular Biology. Recurrent topics in Malea M. Murphy's work include Muscle Physiology and Disorders (5 papers), Hematopoietic Stem Cell Transplantation (5 papers) and Mesenchymal stem cell research (4 papers). Malea M. Murphy is often cited by papers focused on Muscle Physiology and Disorders (5 papers), Hematopoietic Stem Cell Transplantation (5 papers) and Mesenchymal stem cell research (4 papers). Malea M. Murphy collaborates with scholars based in United States, Germany and China. Malea M. Murphy's co-authors include Sean J. Morrison, Gabrielle Kardon, Zhiyu Zhao, Bo Zhou, Jennifer A. Lawson, Sam J. Mathew, David A. Hutcheson, Rui Yue, Ralph J. DeBerardinis and Zeping Hu and has published in prestigious journals such as Nature, Nature Cell Biology and Development.

In The Last Decade

Malea M. Murphy

18 papers receiving 4.9k citations

Hit Papers

Leptin-Receptor-Expressin... 2011 2026 2016 2021 2014 2015 2011 2015 2017 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Malea M. Murphy United States 13 2.8k 1.1k 1.0k 857 740 18 4.9k
Michael A. Rieger Germany 37 2.4k 0.8× 793 0.7× 1.1k 1.1× 475 0.6× 976 1.3× 145 4.9k
Wadie F. Bahou United States 36 1.5k 0.6× 529 0.5× 1.5k 1.5× 1.2k 1.4× 430 0.6× 95 4.3k
Leslie V. Parise United States 40 2.1k 0.8× 929 0.8× 1.6k 1.6× 408 0.5× 558 0.8× 95 4.8k
Sahoko Matsuoka Japan 18 2.5k 0.9× 1.2k 1.1× 2.6k 2.6× 559 0.7× 1.4k 1.9× 29 5.4k
Masako Ohmura Japan 18 1.8k 0.6× 678 0.6× 1.3k 1.3× 362 0.4× 774 1.0× 29 3.8k
Lidija Covic United States 37 1.9k 0.7× 785 0.7× 2.1k 2.0× 1.2k 1.4× 487 0.7× 63 4.8k
Kentaro Hosokawa Japan 17 1.8k 0.6× 761 0.7× 1.7k 1.6× 449 0.5× 888 1.2× 28 3.7k
Annelise Bennaceur‐Griscelli France 36 3.3k 1.2× 3.0k 2.7× 2.3k 2.2× 475 0.6× 840 1.1× 131 6.3k
Vittorio Rosti Italy 47 2.4k 0.8× 2.3k 2.0× 2.3k 2.3× 291 0.3× 707 1.0× 188 6.2k
Saul J. Sharkis United States 28 4.3k 1.5× 2.1k 1.9× 1.5k 1.5× 620 0.7× 980 1.3× 66 7.5k

Countries citing papers authored by Malea M. Murphy

Since Specialization
Citations

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

Fields of papers citing papers by Malea M. Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Malea M. Murphy. 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 Malea M. Murphy. The network helps show where Malea M. Murphy may publish in the future.

Co-authorship network of co-authors of Malea M. Murphy

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

All Works

18 of 18 papers shown
1.
Kara, Nergis, Yuanyuan Xue, Zhiyu Zhao, et al.. (2023). Endothelial and Leptin Receptor+ cells promote the maintenance of stem cells and hematopoiesis in early postnatal murine bone marrow. Developmental Cell. 58(5). 348–360.e6. 33 indexed citations
2.
Jeffery, Elise, et al.. (2023). Exercise training rescues impaired H2O2-mediated vasodilation in porcine collateral-dependent coronary arterioles through enhanced K+ channel activation. American Journal of Physiology-Heart and Circulatory Physiology. 324(5). H637–H653. 5 indexed citations
3.
Murphy, Malea M., Min Yang, Yixuan Zhang, et al.. (2023). Leptin receptor+ cells promote bone marrow innervation and regeneration by synthesizing nerve growth factor. Nature Cell Biology. 25(12). 1746–1757. 34 indexed citations
4.
Lee, Sandy, et al.. (2022). JAK2V617F Mutant Megakaryocytes Contribute to Hematopoietic Aging in a Murine Model of Myeloproliferative Neoplasm. Stem Cells. 40(4). 359–370. 5 indexed citations
5.
Murphy, Malea M., et al.. (2022). Hypertension induces gonadal macrophage imbalance, inflammation, lymphangiogenesis, and dysfunction. Clinical Science. 136(11). 879–894. 7 indexed citations
6.
Tasdogan, Alpaslan, Brandon Faubert, Vijayashree Ramesh, et al.. (2019). Metabolic heterogeneity confers differences in melanoma metastatic potential. Nature. 577(7788). 115–120. 355 indexed citations breakdown →
7.
Comazzetto, Stefano, Malea M. Murphy, Stefano Berto, et al.. (2019). Restricted Hematopoietic Progenitors and Erythropoiesis Require SCF from Leptin Receptor+ Niche Cells in the Bone Marrow. Cell stem cell. 24(3). 477–486.e6. 134 indexed citations
8.
Agathocleous, Michalis, Corbin E. Meacham, Rebecca J. Burgess, et al.. (2017). Ascorbate regulates haematopoietic stem cell function and leukaemogenesis. Nature. 549(7673). 476–481. 392 indexed citations breakdown →
9.
Piskounova, Elena, et al.. (2016). Abstract 2806: Oxidative stress limits metastasis of human melanoma cells. Cancer Research. 76(14_Supplement). 2806–2806. 2 indexed citations
10.
Piskounova, Elena, Michalis Agathocleous, Malea M. Murphy, et al.. (2015). Oxidative stress inhibits distant metastasis by human melanoma cells. Nature. 527(7577). 186–191. 929 indexed citations breakdown →
11.
Acar, Melih, Malea M. Murphy, Hideyuki Oguro, et al.. (2015). Deep imaging of bone marrow shows non-dividing stem cells are mainly perisinusoidal. Nature. 526(7571). 126–130. 518 indexed citations breakdown →
12.
Zhou, Bo, Melih Acar, Malea M. Murphy, et al.. (2015). A perisinusoidal niche for extramedullary haematopoiesis in the spleen. Nature. 527(7579). 466–471. 194 indexed citations
13.
Zhou, Bo, et al.. (2014). Leptin-Receptor-Expressing Mesenchymal Stromal Cells Represent the Main Source of Bone Formed by Adult Bone Marrow. Cell stem cell. 15(2). 154–168. 991 indexed citations breakdown →
14.
Murphy, Malea M., Alexandra Keefe, Jennifer A. Lawson, et al.. (2014). Transiently Active Wnt/β-Catenin Signaling Is Not Required but Must Be Silenced for Stem Cell Function during Muscle Regeneration. Stem Cell Reports. 3(3). 475–488. 73 indexed citations
15.
Murphy, Malea M. & Gabrielle Kardon. (2011). Origin of Vertebrate Limb Muscle. Current topics in developmental biology. 96. 1–32. 91 indexed citations
16.
Murphy, Malea M., Jennifer A. Lawson, Sam J. Mathew, David A. Hutcheson, & Gabrielle Kardon. (2011). Satellite cells, connective tissue fibroblasts and their interactions are crucial for muscle regeneration.. Journal of Cell Science. 124(17). e1–e1. 3 indexed citations
17.
Murphy, Malea M., Jennifer A. Lawson, Sam J. Mathew, David A. Hutcheson, & Gabrielle Kardon. (2011). Satellite cells, connective tissue fibroblasts and their interactions are crucial for muscle regeneration. Development. 138(17). 3625–3637. 903 indexed citations breakdown →
18.
Mathew, Sam J., Allyson J. Merrell, Malea M. Murphy, et al.. (2010). Connective tissue fibroblasts and Tcf4 regulate myogenesis. Development. 138(2). 371–384. 247 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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