Hannah Moore

822 total citations · 1 hit paper
6 papers, 643 citations indexed

About

Hannah Moore is a scholar working on Molecular Biology, Infectious Diseases and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Hannah Moore has authored 6 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Hannah Moore's work include Biosensors and Analytical Detection (2 papers), Reproductive Biology and Fertility (2 papers) and SARS-CoV-2 detection and testing (2 papers). Hannah Moore is often cited by papers focused on Biosensors and Analytical Detection (2 papers), Reproductive Biology and Fertility (2 papers) and SARS-CoV-2 detection and testing (2 papers). Hannah Moore collaborates with scholars based in United Kingdom, United States and Netherlands. Hannah Moore's co-authors include Tassaneewan Laksanasopin, Jennifer Wang, Samuel K. Sia, Curtis D. Chin, Yuk Kee Cheung, Wafaa El‐Sadr, Ruben Sahabo, Robert V. Rouse, Jessica Justman and Vincent Linder and has published in prestigious journals such as Nature Medicine, Cities and Molecular Reproduction and Development.

In The Last Decade

Hannah Moore

6 papers receiving 632 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.

Microfluidics-based diagnostics of infectious diseases in the developing world

2011 589 citations Curtis D. Chin, Tassaneewan Laksanasopin et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hannah Moore United Kingdom	6	496	241	97	87	33	6	643
Gisele Umviligihozo United States	5	524 1.1×	242 1.0×	102 1.1×	112 1.3×	33 1.0×	6	664
Seoho Lee United States	10	398 0.8×	259 1.1×	78 0.8×	91 1.0×	28 0.8×	26	559
Yuk Kee Cheung United States	8	670 1.4×	270 1.1×	131 1.4×	106 1.2×	33 1.0×	12	826
Kang-Yi Lien Taiwan	11	560 1.1×	222 0.9×	126 1.3×	92 1.1×	29 0.9×	18	709
Dakota O’Dell United States	12	671 1.4×	362 1.5×	114 1.2×	128 1.5×	34 1.0×	19	858
Thiruppathiraja Chinnasamy United States	13	427 0.9×	263 1.1×	107 1.1×	65 0.7×	61 1.8×	15	699
Giorgio Gianini Morbioli United States	12	615 1.2×	393 1.6×	141 1.5×	81 0.9×	16 0.5×	19	737
Matthew Mancuso United States	7	475 1.0×	294 1.2×	116 1.2×	99 1.1×	18 0.5×	10	602
Jacob W. Coffey Australia	12	236 0.5×	169 0.7×	90 0.9×	59 0.7×	66 2.0×	16	649
Alexander R. Jafek United States	8	527 1.1×	114 0.5×	109 1.1×	88 1.0×	39 1.2×	9	661

Countries citing papers authored by Hannah Moore

Since Specialization

Citations

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

Fields of papers citing papers by Hannah Moore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hannah Moore

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Huang, Daniel, et al.. (2023). Can we save the downtown? Examining pandemic recovery trajectories across 62 North American cities. Cities. 143. 104588–104588. 10 indexed citations

2.

Lee, Anthony J., et al.. (2021). Preference for Facial Symmetry Depends on Study Design. Symmetry. 13(9). 1637–1637. 15 indexed citations

3.

Chin, Curtis D., Tassaneewan Laksanasopin, Yuk Kee Cheung, et al.. (2011). Microfluidics-based diagnostics of infectious diseases in the developing world. Nature Medicine. 17(8). 1015–1019. 589 indexed citations breakdown →

4.

Laksanasopin, Tassaneewan, Curtis D. Chin, Hannah Moore, et al.. (2009). Microfluidic point-of-care diagnostics for resource-poor environments. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7318. 73180E–73180E. 5 indexed citations

5.

Taylor, Jane, Hannah Moore, Nathalie Beaujean, et al.. (2008). Cloning and expression of sheep DNA methyltransferase 1 and its development‐specific isoform. Molecular Reproduction and Development. 76(5). 501–513. 19 indexed citations

6.

Moore, Hannah, Richard R. Meehan, & Lorraine Young. (2006). Methylation-Sensitive Polymerase Chain Reaction. Humana Press eBooks. 325. 239–250. 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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