Tanya M. Ferguson

1.3k total citations · 1 hit paper
9 papers, 1.0k citations indexed

About

Tanya M. Ferguson is a scholar working on Biomedical Engineering, Infectious Diseases and Epidemiology. According to data from OpenAlex, Tanya M. Ferguson has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 4 papers in Infectious Diseases and 4 papers in Epidemiology. Recurrent topics in Tanya M. Ferguson's work include Biosensors and Analytical Detection (6 papers), Tuberculosis Research and Epidemiology (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Tanya M. Ferguson is often cited by papers focused on Biosensors and Analytical Detection (6 papers), Tuberculosis Research and Epidemiology (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Tanya M. Ferguson collaborates with scholars based in United States and Philippines. Tanya M. Ferguson's co-authors include Angelika Niemz, David S. Boyle, Deepali N. Shinde, Bruce Irvine, Karl V. Voelkerding, Eric Tan, Shale Dames, Jifeng Qian, Christoph Adami and Arend Hintze and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Biochemistry.

In The Last Decade

Tanya M. Ferguson

8 papers receiving 999 citations

Hit Papers

Point-of-care nucleic acid testing for infectious diseases 2011 2026 2016 2021 2011 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tanya M. Ferguson United States 7 716 699 223 103 90 9 1.0k
Gaolian Xu China 16 695 1.0× 816 1.2× 383 1.7× 74 0.7× 100 1.1× 35 1.2k
Sanchita Bhadra United States 20 1.3k 1.8× 883 1.3× 291 1.3× 125 1.2× 44 0.5× 37 1.6k
Michael C. Little United States 8 1.0k 1.4× 662 0.9× 212 1.0× 182 1.8× 158 1.8× 11 1.3k
Cheng Qian China 20 914 1.3× 692 1.0× 138 0.6× 61 0.6× 49 0.5× 44 1.2k
G. Terrance Walker United States 19 1.4k 2.0× 815 1.2× 276 1.2× 259 2.5× 221 2.5× 30 1.9k
Katarzyna M. Koczula United Kingdom 5 515 0.7× 496 0.7× 272 1.2× 19 0.2× 74 0.8× 5 957
Mohammadali Safavieh United States 16 781 1.1× 977 1.4× 199 0.9× 64 0.6× 56 0.6× 22 1.2k
Kyung Hyun Lee South Korea 18 514 0.7× 190 0.3× 128 0.6× 39 0.4× 114 1.3× 48 929
Pascal Craw United Kingdom 5 415 0.6× 494 0.7× 153 0.7× 52 0.5× 51 0.6× 10 663
Hanliang Zhu China 12 384 0.5× 501 0.7× 206 0.9× 57 0.6× 33 0.4× 28 799

Countries citing papers authored by Tanya M. Ferguson

Since Specialization
Citations

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

Fields of papers citing papers by Tanya M. Ferguson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanya M. Ferguson

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

All Works

9 of 9 papers shown
1.
Lu, Hsiang‐Wei, Rama Murthy Sakamuri, Pranav Kumar, et al.. (2020). Integrated nucleic acid testing system to enable TB diagnosis in peripheral settings. Lab on a Chip. 20(21). 4071–4081. 11 indexed citations
2.
Carr, Christopher E., A. G. Smith, A. Pontefract, et al.. (2017). Towards in situ sequencing for life detection. 1–18. 17 indexed citations
3.
Ferguson, Tanya M., Kris M. Weigel, Masahiro Narita, et al.. (2016). Pilot study of a rapid and minimally instrumented sputum sample preparation method for molecular diagnosis of tuberculosis. Scientific Reports. 6(1). 19541–19541. 17 indexed citations
4.
Ferguson, Tanya M.. (2016). Differences in Treatment-Seeking and Treatment-Adherence Factors for Tuberculosis in Armenian Versus Non-Armenian Populations of Los Angeles County. ScholarWorks (Walden University). 1 indexed citations
5.
Hickerson, Anna I., et al.. (2013). Simple System for Isothermal DNA Amplification Coupled to Lateral Flow Detection. PLoS ONE. 8(7). e69355–e69355. 67 indexed citations
6.
Qian, Jifeng, Tanya M. Ferguson, Deepali N. Shinde, et al.. (2012). Sequence dependence of isothermal DNA amplification via EXPAR. Nucleic Acids Research. 40(11). e87–e87. 104 indexed citations
7.
Niemz, Angelika, Tanya M. Ferguson, & David S. Boyle. (2011). Point-of-care nucleic acid testing for infectious diseases. Trends in biotechnology. 29(5). 240–250. 650 indexed citations breakdown →
8.
Tan, Eric, Shale Dames, Tanya M. Ferguson, et al.. (2008). Specific versus Nonspecific Isothermal DNA Amplification through Thermophilic Polymerase and Nicking Enzyme Activities. Biochemistry. 47(38). 9987–9999. 159 indexed citations
9.
Creger, C. R., et al.. (1967). Gas-liquid chromatographic analysis of lenticular triglycerides. Experimental Eye Research. 6(1). 33–37. 6 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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