Deborah Yamamura

63 total papers · 1.1k total citations
40 papers, 727 citations indexed

About

Deborah Yamamura is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Deborah Yamamura has authored 40 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Infectious Diseases, 17 papers in Epidemiology and 12 papers in Molecular Biology. Recurrent topics in Deborah Yamamura's work include Advanced biosensing and bioanalysis techniques (10 papers), SARS-CoV-2 detection and testing (8 papers) and Antifungal resistance and susceptibility (6 papers). Deborah Yamamura is often cited by papers focused on Advanced biosensing and bioanalysis techniques (10 papers), SARS-CoV-2 detection and testing (8 papers) and Antifungal resistance and susceptibility (6 papers). Deborah Yamamura collaborates with scholars based in Canada, United States and Italy. Deborah Yamamura's co-authors include Coleman Rotstein, Jianping Xu, Yingfu Li, Leyla Soleymani, Jimmy Gu, John D. Brennan, Carlos D. M. Filipe, Bruno J. Salena, Hannah D. Stacey and Matthew S. Miller and has published in prestigious journals such as Nucleic Acids Research, Angewandte Chemie International Edition and Analytical Chemistry.

In The Last Decade

Deborah Yamamura

38 papers receiving 714 citations

Author Peers

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

Author						Papers	Cites
Deborah Yamamura	439	370	216	173	89	40	727
Frances Bolt	259 0.6×	275 0.7×	182 0.8×	86 0.5×	143 1.6×	20	799
Joerg Doellinger	151 0.3×	323 0.9×	76 0.4×	166 1.0×	51 0.6×	38	776
Minna Mäki	132 0.3×	258 0.7×	157 0.7×	214 1.2×	162 1.8×	28	741
Norihito Tarumoto	363 0.8×	190 0.5×	137 0.6×	190 1.1×	90 1.0×	54	723
S Ånséhn	177 0.4×	162 0.4×	86 0.4×	210 1.2×	83 0.9×	28	687
Juanxiu Qin	367 0.8×	419 1.1×	64 0.3×	105 0.6×	86 1.0×	35	818
Adam P. Barker	387 0.9×	312 0.8×	108 0.5×	347 2.0×	75 0.8×	30	883
Joshua A. Lieberman	278 0.6×	164 0.4×	67 0.3×	122 0.7×	27 0.3×	48	831
Julia Alcoba-Flórez	627 1.4×	228 0.6×	106 0.5×	314 1.8×	83 0.9×	37	858
Ahalieyah Anantharajah	391 0.9×	244 0.7×	212 1.0×	75 0.4×	63 0.7×	23	739

Countries citing papers authored by Deborah Yamamura

Since Specialization

Citations

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

Fields of papers citing papers by Deborah Yamamura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deborah Yamamura

This figure shows the co-authorship network connecting the top 25 collaborators of Deborah Yamamura. A scholar is included among the top collaborators of Deborah Yamamura 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 Deborah Yamamura. Deborah Yamamura 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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