Janna Murray

3.1k total citations · 1 hit paper
7 papers, 505 citations indexed

About

Janna Murray is a scholar working on Molecular Biology, Epidemiology and Psychiatry and Mental health. According to data from OpenAlex, Janna Murray has authored 7 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Psychiatry and Mental health. Recurrent topics in Janna Murray's work include Fibromyalgia and Chronic Fatigue Syndrome Research (3 papers), Respiratory viral infections research (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Janna Murray is often cited by papers focused on Fibromyalgia and Chronic Fatigue Syndrome Research (3 papers), Respiratory viral infections research (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Janna Murray collaborates with scholars based in United States and Bangladesh. Janna Murray's co-authors include Natalie J. Thornburg, Senthilkumar K. Sakthivel, Xiaoyan Lu, Jennifer L. Harcourt, Julie Villanueva, Azaibi Tamin, Lakshmi Malapati, Lijuan Wang, Stephen A. Burke and Brian Lynch and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Clinical Microbiology and Emerging infectious diseases.

In The Last Decade

Janna Murray

7 papers receiving 501 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

US CDC Real-Time Reverse Transcription PCR Panel for Detection of Severe Acute Respiratory Syndrome Coronavirus 2

2020 394 citations Xiaoyan Lu, Lijuan Wang et al. Emerging infectious diseases profile →

Peers

Janna Murray

ID

BE

MB

RNMI

EPIDE

Andrew D. Sutherland Australia

Janne O. Koskinen Finland

Sisi Shen China

Bo Zheng China

Daniel Waltho Canada

Qinjie Zhou United States

Ryan Park United States

Taru S. Dutt United States

Rebecca M. Harris United States

Andrew D. Sutherland Australia

Janna Murray

80 ×0.2

ID

52 ×0.3

BE

105 ×0.8

MB

12 ×0.2

RNMI

56 ×1.3

EPIDE

Citations per year, relative to Janna Murray Janna Murray (= 1×) peers Andrew D. Sutherland

Countries citing papers authored by Janna Murray

Since Specialization

Citations

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

Fields of papers citing papers by Janna Murray

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janna Murray

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

All Works

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7 of 7 papers shown

1.

Lu, Xiaoyan, Lijuan Wang, Senthilkumar K. Sakthivel, et al.. (2020). US CDC Real-Time Reverse Transcription PCR Panel for Detection of Severe Acute Respiratory Syndrome Coronavirus 2. Emerging infectious diseases. 26(8). 1654–1665. 394 indexed citations breakdown →

2.

Yang, Genyan, Erin Hodges, Jörn Winter, et al.. (2020). Development of an RNA Strand-Specific Hybridization Assay To Differentiate Replicating versus Nonreplicating Influenza A Viruses. Journal of Clinical Microbiology. 58(6). 2 indexed citations

3.

Rajeevan, Mangalathu S., Janna Murray, Lisa P. Oakley, Jin-Mann S. Lin, & Elizabeth R. Unger. (2018). Association of chronic fatigue syndrome with premature telomere attrition. Journal of Translational Medicine. 16(1). 15 indexed citations

4.

Rajeevan, Mangalathu S., Irina Dimulescu, Janna Murray, Virginia R. Falkenberg, & Elizabeth R. Unger. (2015). Pathway-focused genetic evaluation of immune and inflammation related genes with chronic fatigue syndrome. Human Immunology. 76(8). 553–560. 29 indexed citations

5.

Murray, Janna & Mangalathu S. Rajeevan. (2013). Evaluation of DNA extraction from granulocytes discarded in the separation medium after isolation of peripheral blood mononuclear cells and plasma from whole blood. BMC Research Notes. 6(1). 440–440. 10 indexed citations

6.

Falkenberg, Virginia R., Toni Whistler, Janna Murray, Elizabeth R. Unger, & Mangalathu S. Rajeevan. (2013). Acute Psychosocial Stress-Mediated Changes in the Expression and Methylation of Perforin in Chronic Fatigue Syndrome. SHILAP Revista de lepidopterología. 5. 1–9. 10 indexed citations

7.

Falkenberg, Virginia R., Toni Whistler, Janna Murray, Elizabeth R. Unger, & Mangalathu S. Rajeevan. (2011). Identification of Phosphoglycerate Kinase 1 (PGK1) as a reference gene for quantitative gene expression measurements in human blood RNA. BMC Research Notes. 4(1). 324–324. 45 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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