Hannah J. Maple

46 total papers · 468 total citations
19 papers, 304 citations indexed

About

Hannah J. Maple is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Hannah J. Maple has authored 19 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 3 papers in Infectious Diseases. Recurrent topics in Hannah J. Maple's work include Protein Degradation and Inhibitors (8 papers), Ubiquitin and proteasome pathways (5 papers) and Histone Deacetylase Inhibitors Research (5 papers). Hannah J. Maple is often cited by papers focused on Protein Degradation and Inhibitors (8 papers), Ubiquitin and proteasome pathways (5 papers) and Histone Deacetylase Inhibitors Research (5 papers). Hannah J. Maple collaborates with scholars based in United Kingdom, United States and Germany. Hannah J. Maple's co-authors include Robert Felix, Rachel A. Garlish, Richard J. Taylor, Matthew P. Crump, John Crosby, Ian Whitcombe, John Porter, Alistair J. Henry, Jeffrey C. Kennedy and Mark S. Cooper and has published in prestigious journals such as Nature Communications, Analytical Chemistry and Biochemistry.

In The Last Decade

Hannah J. Maple

19 papers receiving 298 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Hannah J. Maple	213	67	57	42	38	19	304
May Y. K. Ho	128 0.6×	26 0.4×	105 1.8×	25 0.6×	22 0.6×	17	338
Osama Chahrour	161 0.8×	109 1.6×	38 0.7×	12 0.3×	16 0.4×	11	352
Min Xu	203 1.0×	11 0.2×	30 0.5×	75 1.8×	39 1.0×	23	308
Md Kabir	229 1.1×	15 0.2×	86 1.5×	20 0.5×	69 1.8×	20	341
David Kuter	117 0.5×	21 0.3×	22 0.4×	31 0.7×	23 0.6×	19	319
Duncan C. Miller	170 0.8×	16 0.2×	35 0.6×	19 0.5×	67 1.8×	20	298
Joachim L. Petit	137 0.6×	11 0.2×	81 1.4×	27 0.6×	67 1.8×	18	353
Deheng Sun	173 0.8×	36 0.5×	76 1.3×	16 0.4×	20 0.5×	17	309
Eveline M. Bezerra	165 0.8×	19 0.3×	29 0.5×	8 0.2×	55 1.4×	25	357
Kim A. Johnson	119 0.6×	34 0.5×	157 2.8×	22 0.5×	22 0.6×	16	363

Countries citing papers authored by Hannah J. Maple

Since Specialization

Citations

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

Fields of papers citing papers by Hannah J. Maple

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hannah J. Maple

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

All Works

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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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