Sara A. Murray

425 total citations
8 papers, 277 citations indexed

About

Sara A. Murray is a scholar working on Immunology, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Sara A. Murray has authored 8 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Immunology, 2 papers in Epidemiology and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Sara A. Murray's work include Immune Cell Function and Interaction (3 papers), Diabetes and associated disorders (2 papers) and Pneumonia and Respiratory Infections (2 papers). Sara A. Murray is often cited by papers focused on Immune Cell Function and Interaction (3 papers), Diabetes and associated disorders (2 papers) and Pneumonia and Respiratory Infections (2 papers). Sara A. Murray collaborates with scholars based in United States, France and Denmark. Sara A. Murray's co-authors include Ian Nicholas Crispe, Katherine J. Brempelis, Isaac Mohar, Mo R. Ebrahimkhani, Jessica L. Miller, Ashley M. Vaughan, Stefan H. I. Kappe, ‏Mohammed ‏Khashab, Thomas P. Lodise and Brandon K. Sack and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Scientific Reports.

In The Last Decade

Sara A. Murray

8 papers receiving 271 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sara A. Murray United States 8 86 85 56 53 52 8 277
Caterina Matinato Italy 10 74 0.9× 97 1.1× 19 0.3× 88 1.7× 19 0.4× 27 307
Adaia Albasanz‐Puig Spain 9 53 0.6× 100 1.2× 32 0.6× 17 0.3× 51 1.0× 14 325
Joe Milata United States 6 70 0.8× 145 1.7× 23 0.4× 19 0.4× 18 0.3× 10 279
Leyla Telhan Türkiye 7 94 1.1× 93 1.1× 15 0.3× 11 0.2× 31 0.6× 20 349
Xuefeng Li China 11 83 1.0× 146 1.7× 19 0.3× 12 0.2× 16 0.3× 43 384
Laura E. Martínez United States 8 55 0.6× 89 1.0× 24 0.4× 39 0.7× 5 0.1× 19 356
Pérsio Roxo-Júnior Brazil 10 180 2.1× 53 0.6× 14 0.3× 14 0.3× 22 0.4× 31 342
Hidayeth Rostane France 9 28 0.3× 74 0.9× 118 2.1× 26 0.5× 41 0.8× 14 403
Michael Luchi United States 6 127 1.5× 50 0.6× 45 0.8× 22 0.4× 8 0.2× 12 302
Verònica Alba Spain 12 44 0.5× 61 0.7× 40 0.7× 7 0.1× 75 1.4× 21 309

Countries citing papers authored by Sara A. Murray

Since Specialization
Citations

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

Fields of papers citing papers by Sara A. Murray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara A. Murray. 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 Sara A. Murray. The network helps show where Sara A. Murray may publish in the future.

Co-authorship network of co-authors of Sara A. Murray

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

All Works

8 of 8 papers shown
1.
Murray, Sara A., Louise S. Dalbøge, Karalee Baquero, et al.. (2020). Whole transcriptome analysis and validation of metabolic pathways in subcutaneous adipose tissues during FGF21-induced weight loss in non-human primates. Scientific Reports. 10(1). 7287–7287. 8 indexed citations
2.
Cerosaletti, Karen, Junbao Yang, Hannah A. DeBerg, et al.. (2017). Single-Cell RNA Sequencing Reveals Expanded Clones of Islet Antigen-Reactive CD4+ T Cells in Peripheral Blood of Subjects with Type 1 Diabetes. The Journal of Immunology. 199(1). 323–335. 65 indexed citations
3.
Thorpe, Jerill, Sara A. Murray, Marc A. Gavin, et al.. (2017). Attenuated IL-2R signaling in CD4 memory T cells of T1D subjects is intrinsic and dependent on activation state. Clinical Immunology. 181. 67–74. 8 indexed citations
4.
Mohar, Isaac, Katherine J. Brempelis, Sara A. Murray, Mo R. Ebrahimkhani, & Ian Nicholas Crispe. (2015). Isolation of Non-parenchymal Cells from the Mouse Liver. Methods in molecular biology. 1325. 3–17. 50 indexed citations
5.
Murray, Sara A., Isaac Mohar, Jessica L. Miller, et al.. (2015). CD40 Is Required for Protective Immunity against Liver Stage Plasmodium Infection. The Journal of Immunology. 194(5). 2268–2279. 13 indexed citations
6.
Miller, Jessica L., Sara A. Murray, Ashley M. Vaughan, et al.. (2013). Quantitative Bioluminescent Imaging of Pre-Erythrocytic Malaria Parasite Infection Using Luciferase-Expressing Plasmodium yoelii. PLoS ONE. 8(4). e60820–e60820. 48 indexed citations
7.
Rodvold, Keith A., David P. Nicolau, Thomas P. Lodise, et al.. (2009). Identifying Exposure Targets for Treatment of Staphylococcal Pneumonia with Ceftobiprole. Antimicrobial Agents and Chemotherapy. 53(8). 3294–3301. 68 indexed citations
8.
Lewis, David A., et al.. (1996). The incidence and epidemiology of β-lactam resistance in Haemophilus influenzae. Journal of Antimicrobial Chemotherapy. 37(4). 737–746. 17 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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