Lawrence Miloscio

848 total citations
9 papers, 351 citations indexed

About

Lawrence Miloscio is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Lawrence Miloscio has authored 9 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Epidemiology and 2 papers in Cell Biology. Recurrent topics in Lawrence Miloscio's work include Muscle Physiology and Disorders (4 papers), Microbial infections and disease research (2 papers) and Muscle metabolism and nutrition (2 papers). Lawrence Miloscio is often cited by papers focused on Muscle Physiology and Disorders (4 papers), Microbial infections and disease research (2 papers) and Muscle metabolism and nutrition (2 papers). Lawrence Miloscio collaborates with scholars based in United States. Lawrence Miloscio's co-authors include George D. Yancopoulos, Jason Mastaitis, Esther Latres, Ashique Rafique, Trevor N. Stitt, Jesper Gromada, Erqian Na, Ying Huang, Mark Eckersdorff and Andrew Murphy and has published in prestigious journals such as Nature Communications, Blood and PLoS ONE.

In The Last Decade

Lawrence Miloscio

9 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lawrence Miloscio United States	7	256	104	57	49	39	9	351
Kenta Nakano Japan	11	216 0.8×	37 0.4×	29 0.5×	38 0.8×	22 0.6×	40	457
Hiroko Ishii Japan	12	271 1.1×	66 0.6×	57 1.0×	29 0.6×	7 0.2×	19	355
Hsing‐Chuan Tsai United States	8	227 0.9×	55 0.5×	18 0.3×	26 0.5×	20 0.5×	15	463
Melanie Timmen Germany	10	183 0.7×	23 0.2×	43 0.8×	36 0.7×	44 1.1×	18	301
Constantinos Vouthounis United States	6	221 0.9×	24 0.2×	100 1.8×	26 0.5×	19 0.5×	8	675
Miyuki Hayashi Japan	10	243 0.9×	24 0.2×	62 1.1×	33 0.7×	52 1.3×	25	437
Nora L. Springer United States	11	101 0.4×	27 0.3×	27 0.5×	35 0.7×	11 0.3×	26	312
Guilian Sun China	9	206 0.8×	40 0.4×	26 0.5×	6 0.1×	25 0.6×	21	308
Joscha Griger Germany	6	366 1.4×	36 0.3×	31 0.5×	39 0.8×	11 0.3×	7	496

Countries citing papers authored by Lawrence Miloscio

Since Specialization

Citations

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

Fields of papers citing papers by Lawrence Miloscio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lawrence Miloscio

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

All Works

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9 of 9 papers shown

Lee, Jeffrey, Jingjing Wang, Lawrence Miloscio, et al.. (2022). Production of large, defined genome modifications in rats by targeting rat embryonic stem cells. Stem Cell Reports. 18(1). 394–409. 1 indexed citations

Jeong, Youngjae, Lawrence Miloscio, Jason Mastaitis, et al.. (2020). Impact of Genetic and Pharmacologic Inhibition of Myostatin in a Murine Model of Osteogenesis Imperfecta. Journal of Bone and Mineral Research. 36(4). 739–756. 13 indexed citations

Lob, Heinrich E., et al.. (2020). Anti-GDF11Treatment of β-Thalassemia Intermedia Mice Does Not Improve Erythropoiesis. Blood. 136(Supplement 1). 7–8. 1 indexed citations

Latres, Esther, Jason Mastaitis, Wen Fury, et al.. (2017). Activin A more prominently regulates muscle mass in primates than does GDF8. Nature Communications. 8(1). 15153–15153. 129 indexed citations

Doré, Anthony, Lawrence Miloscio, Esther Latres, et al.. (2016). Myostatin deficiency but not anti‐myostatin blockade induces marked proteomic changes in mouse skeletal muscle. PROTEOMICS. 16(14). 2019–2027. 13 indexed citations

Lai, Ka‐Man Venus, Guochun Gong, Amanda Atanasio, et al.. (2015). Diverse Phenotypes and Specific Transcription Patterns in Twenty Mouse Lines with Ablated LincRNAs. PLoS ONE. 10(4). e0125522–e0125522. 49 indexed citations

Latres, Esther, Lawrence Miloscio, Erqian Na, et al.. (2015). Myostatin blockade with a fully human monoclonal antibody induces muscle hypertrophy and reverses muscle atrophy in young and aged mice. Skeletal Muscle. 5(1). 34–34. 114 indexed citations

Suckow, Mark A., et al.. (2008). Field trial of a Pasteurella multocida extract vaccine in rabbits.. PubMed. 47(1). 18–21. 6 indexed citations

Confer, Anthony W., et al.. (2001). Intranasal vaccination of rabbits with Pasteurella multocida A:3 outer membranes that express iron-regulated proteins. American Journal of Veterinary Research. 62(5). 697–703. 25 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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