Maria Tang

1.4k total citations
13 papers, 27 citations indexed

About

Maria Tang is a scholar working on Epidemiology, Plant Science and Modeling and Simulation. According to data from OpenAlex, Maria Tang has authored 13 papers receiving a total of 27 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Plant Science and 3 papers in Modeling and Simulation. Recurrent topics in Maria Tang's work include COVID-19 epidemiological studies (3 papers), Respiratory viral infections research (3 papers) and Legume Nitrogen Fixing Symbiosis (3 papers). Maria Tang is often cited by papers focused on COVID-19 epidemiological studies (3 papers), Respiratory viral infections research (3 papers) and Legume Nitrogen Fixing Symbiosis (3 papers). Maria Tang collaborates with scholars based in United Kingdom, France and Cuba. Maria Tang's co-authors include Lars Schewe, Jessica Enright, Edward M. Hill, Robert S. Paton, Louise Dyson, Chris Budd, Emma L. Fairbanks, Christopher E. Overton, Rebecca B. Hoyle and Sarah R Deeny and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Epidemiology and PLoS Computational Biology.

In The Last Decade

Maria Tang

7 papers receiving 23 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Tang United Kingdom 3 12 7 6 5 4 13 27
Claire P. Smith United States 4 18 1.5× 7 1.0× 11 2.2× 3 0.8× 4 38
Lan Yi United States 4 18 1.5× 14 2.0× 7 1.4× 2 0.5× 6 23
Sarah Lapidus United States 2 6 0.5× 11 1.6× 9 1.8× 2 0.5× 2 19
Ian D. Letourneau United States 3 6 0.5× 8 1.1× 4 0.8× 3 21
Stefan Heyder Germany 4 15 1.3× 5 0.7× 7 1.4× 7 29
James Farrugia Malta 3 6 0.5× 8 1.1× 1 0.2× 7 1.4× 1 0.3× 5 21
Krithikaa Sekar India 2 10 0.8× 16 2.3× 4 0.8× 2 18
Nayanum Pokhrel Nepal 4 3 0.3× 7 1.0× 3 0.6× 3 0.8× 15 30
Addison J. Hu United States 2 16 1.3× 5 0.7× 15 3.0× 3 23
Michele Nicoletti Italy 3 7 0.6× 17 2.4× 3 0.6× 6 20

Countries citing papers authored by Maria Tang

Since Specialization
Citations

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

Fields of papers citing papers by Maria Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Tang

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

All Works

13 of 13 papers shown
1.
Tang, Maria, et al.. (2025). Forecasting COVID-19, influenza, and RSV hospitalizations over winter 2023–4 in England. International Journal of Epidemiology. 54(3). 1 indexed citations
2.
Tang, Maria, Rachel Christie, Christopher E. Overton, et al.. (2025). An application of nowcasting methods: Cases of norovirus during the winter 2023/2024 in England. PLoS Computational Biology. 21(2). e1012849–e1012849. 1 indexed citations
3.
Tang, Maria, Christopher E. Overton, Vanessa Saliba, et al.. (2025). Nowcasting cases and trends during the measles 2023/24 outbreak in England. Journal of Infection. 91(3). 106569–106569.
4.
Christie, Rachel, Christopher E. Overton, Robert S. Paton, et al.. (2023). Forecasting influenza hospital admissions within English sub-regions using hierarchical generalised additive models. SHILAP Revista de lepidopterología. 3(1). 190–190. 6 indexed citations
5.
Eames, Ken, Maria Tang, Edward M. Hill, et al.. (2022). Coughs, colds and “freshers’ flu” survey in the University of Cambridge, 2007–2008. Epidemics. 42. 100659–100659. 1 indexed citations
6.
Enright, Jessica, Edward M. Hill, Helena B. Stage, et al.. (2021). SARS-CoV-2 infection in UK university students: lessons from September–December 2020 and modelling insights for future student return. Royal Society Open Science. 8(8). 210310–210310. 10 indexed citations
7.
Tang, Maria. (2020). Embroiled Mediums: George Eliot and Environment; or, the Ecologies of Middlemarch. Études anglaises. Vol. 73(1). 3–29.
8.
Tang, Maria. (2004). Eve’s fig-leaf: The Male Narrator, Sophistry and the Loss of Narrative Innocence in The Mill on the Floss. SHILAP Revista de lepidopterología. 59 Printemps.
9.
Tang, Maria, et al.. (1996). Biogeografía de leguminosas forrajeras en Cuba I. Provincia de Matanzas. Pastos y forrajes. 19(1). 15–32. 2 indexed citations
10.
Tang, Maria. (1986). SELECCION DE CEPAS EFICIENTES DE Rhizobium EN CUATRO CULTIVARES DE Stylosanthes guianensis. 9(1). 29–35. 1 indexed citations
11.
Tang, Maria, et al.. (1983). Determinación de cepas de rhizobium eficientes e 4cvs de Leucaena leucocephala. Pastos y forrajes. 6(1). 31–45. 1 indexed citations
12.
Tang, Maria, et al.. (1982). Estudio de la acción de siete cepas de rhizobium sobre cuatro leguminosas. Pastos y forrajes. 5(2). 159–170. 3 indexed citations
13.
Tang, Maria, et al.. (1982). A NEW SPECIES OF THE GENUS ICHORONYSSUS (ACARINA:MACRONYSSIDAE). Acta Entomologica Sinica. 1 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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