Timothy Song

782 total citations
11 papers, 304 citations indexed

About

Timothy Song is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Timothy Song has authored 11 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Infectious Diseases and 3 papers in Molecular Biology. Recurrent topics in Timothy Song's work include Influenza Virus Research Studies (5 papers), Respiratory viral infections research (4 papers) and Viral Infections and Vectors (4 papers). Timothy Song is often cited by papers focused on Influenza Virus Research Studies (5 papers), Respiratory viral infections research (4 papers) and Viral Infections and Vectors (4 papers). Timothy Song collaborates with scholars based in United States, Australia and China. Timothy Song's co-authors include Elodie Ghedin, Benjamin D. Greenbaum, Alan Twaddle, Edward C. Holmes, Matthew B. Rogers, Robert Sebra, Bin Zhou, Dana L. Vanlandingham, Kate D. Ryman and William B. Klimstra and has published in prestigious journals such as Nature Genetics, Journal of Clinical Oncology and PLoS Pathogens.

In The Last Decade

Timothy Song

11 papers receiving 299 citations

Peers

Timothy Song

EPIDE

ID

MB

PHEOH

GENET

Jorge M. Dinis United States

Darly J. Manayani United States

Ayato Takada Japan

Eduardo Mórtola Argentina

Jonny Yokosawa Brazil

Saskia Weber Germany

Vanessa R. Melanson United States

Shaqiu Zhang China

Navapon Techakriengkrai Thailand

Anthony C. Wright United States

Jorge M. Dinis United States

Timothy Song

198 ×1.3

EPIDE

119 ×1.0

ID

92 ×1.0

MB

58 ×0.8

PHEOH

51 ×1.3

GENET

Citations per year, relative to Timothy Song Timothy Song (= 1×) peers Jorge M. Dinis

Countries citing papers authored by Timothy Song

Since Specialization

Citations

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

Fields of papers citing papers by Timothy Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timothy Song

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

All Works

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11 of 11 papers shown

1.

Nandakumar, Subhiksha, Timothy Song, Carl Campos, et al.. (2024). Utility of circulating tumor DNA (ctDNA) from cerebrospinal fluid (CSF) for prognosis of patients with recurrent high grade glioma.. Journal of Clinical Oncology. 42(16_suppl). 2010–2010. 1 indexed citations

2.

Song, Timothy, Tatiana Schäffer Gregianini, Guojun Wang, et al.. (2023). Tracking the emergence of antigenic variants in influenza A virus epidemics in Brazil. Virus Evolution. 9(1). vead027–vead027. 2 indexed citations

3.

Ding, Tao, Timothy Song, Bin Zhou, et al.. (2019). Microbial Composition of the Human Nasopharynx Varies According to Influenza Virus Type and Vaccination Status. mBio. 10(4). 32 indexed citations

4.

Song, Timothy. (2019). Putting Educational Reform Into Practice: The Impact of the No Child Left Behind Act On Students, Teachers, and Schools. Scholarship - Claremont (Claremont Colleges). 1 indexed citations

5.

Song, Timothy, et al.. (2017). Getting the flu: 5 key facts about influenza virus evolution. PLoS Pathogens. 13(8). e1006450–e1006450. 17 indexed citations

6.

Dietzgen, Ralf G., Elodie Ghedin, Dàohóng Jiāng, et al.. (2017). ICTV Virus Taxonomy Profile: Nyamiviridae. Journal of General Virology. 98(12). 2914–2915. 6 indexed citations

7.

Poon, Leo L. M., Timothy Song, Roni Rosenfeld, et al.. (2016). Quantifying influenza virus diversity and transmission in humans. Nature Genetics. 48(2). 195–200. 118 indexed citations

8.

Rogers, Matthew B., Timothy Song, Robert Sebra, et al.. (2015). Intrahost Dynamics of Antiviral Resistance in Influenza A Virus Reflect Complex Patterns of Segment Linkage, Reassortment, and Natural Selection. mBio. 6(2). 45 indexed citations

9.

Gardner, Christina L., Jozef Hritz, Chengqun Sun, et al.. (2014). Deliberate Attenuation of Chikungunya Virus by Adaptation to Heparan Sulfate-Dependent Infectivity: A Model for Rational Arboviral Vaccine Design. PLoS neglected tropical diseases. 8(2). e2719–e2719. 74 indexed citations

10.

Middleton, Sarah, Timothy Song, & Sudhir Nayak. (2010). Length constraints of multi-domain proteins in metazoans. Bioinformation. 4(10). 441–444. 3 indexed citations

11.

Malloy, Thomas E., et al.. (2005). Mapping knowledge to boolean dynamic systems in Bateson's epistemology.. PubMed. 9(1). 37–60. 5 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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