Hannah Currant

908 total citations
5 papers, 112 citations indexed

About

Hannah Currant is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Hannah Currant has authored 5 papers receiving a total of 112 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Hannah Currant's work include Bioinformatics and Genomic Networks (3 papers), Data Visualization and Analytics (2 papers) and Machine Learning in Bioinformatics (1 paper). Hannah Currant is often cited by papers focused on Bioinformatics and Genomic Networks (3 papers), Data Visualization and Analytics (2 papers) and Machine Learning in Bioinformatics (1 paper). Hannah Currant collaborates with scholars based in United Kingdom and Denmark. Hannah Currant's co-authors include Domenico Cozzetto, Federico Minneci, David T. Jones, V. Anne Smith, Jessie Kennedy, Daniel Archambault, Omar A. Mahroo, Ewan Birney, Praveen J. Patel and Anthony P. Khawaja and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and PLoS Genetics.

In The Last Decade

Hannah Currant

5 papers receiving 111 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hannah Currant United Kingdom	4	88	16	10	9	8	5	112
Kenta Sato Japan	4	102 1.2×	10 0.6×	5 0.5×	15 1.7×	2 0.3×	7	142
Aaron Lou United States	2	79 0.9×	6 0.4×	11 1.1×	6 0.7×	8 1.0×	4	148
Yotam Frank Israel	2	96 1.1×	14 0.9×	2 0.2×	3 0.3×	10 1.3×	2	146
Siguo Wang China	7	210 2.4×	16 1.0×	3 0.3×	4 0.4×	9 1.1×	20	231
Candace S. Y. Chan United States	7	137 1.6×	4 0.3×	2 0.2×	20 2.2×	3 0.4×	16	171
Nathaniel Twarog United States	7	46 0.5×	34 2.1×	23 2.3×	4 0.4×	4 0.5×	13	121
Zheng-Xing Guan China	5	316 3.6×	27 1.7×	6 0.6×	11 1.2×	2 0.3×	11	341
Andrew Quitadamo United States	5	87 1.0×	3 0.2×	10 1.0×	8 0.9×	6 0.8×	7	138
Chendi Wang China	4	54 0.6×	4 0.3×	2 0.2×	7 0.8×	7 0.9×	6	84
Jan E. Gewehr Germany	6	138 1.6×	11 0.7×	2 0.2×	10 1.1×	3 0.4×	13	169

Countries citing papers authored by Hannah Currant

Since Specialization

Citations

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

Fields of papers citing papers by Hannah Currant

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hannah Currant

This figure shows the co-authorship network connecting the top 25 collaborators of Hannah Currant. A scholar is included among the top collaborators of Hannah Currant 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 Currant. Hannah Currant 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:

5 of 5 papers shown

1.

Hjaltelin, Jessica Xin, Hannah Currant, Isabella Friis Jørgensen, & Søren Brunak. (2023). Visualising disease trajectories from population-wide data. SHILAP Revista de lepidopterología. 3. 1112113–1112113. 2 indexed citations

2.

Currant, Hannah, Tomas Fitzgerald, Praveen J. Patel, et al.. (2023). Sub-cellular level resolution of common genetic variation in the photoreceptor layer identifies continuum between rare disease and common variation. PLoS Genetics. 19(2). e1010587–e1010587. 11 indexed citations

3.

Kennedy, Jessie, et al.. (2018). BayesPiles. ACM Transactions on Intelligent Systems and Technology. 10(1). 1–23. 7 indexed citations

4.

Cozzetto, Domenico, Federico Minneci, Hannah Currant, & David T. Jones. (2016). FFPred 3: feature-based function prediction for all Gene Ontology domains. Scientific Reports. 6(1). 31865–31865. 86 indexed citations

5.

Kennedy, Jessie, et al.. (2016). MLCut: Exploring Multi-Level Cuts in Dendrograms for Biological Data. Research Output (Edinburgh Napier University). 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.

Explore authors with similar magnitude of impact