Madeline Yung

24 total papers · 584 total citations
18 papers, 400 citations indexed

About

Madeline Yung is a scholar working on Molecular Biology, Ophthalmology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Madeline Yung has authored 18 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Ophthalmology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Madeline Yung's work include Bacterial Genetics and Biotechnology (5 papers), Corneal Surgery and Treatments (4 papers) and DNA Repair Mechanisms (4 papers). Madeline Yung is often cited by papers focused on Bacterial Genetics and Biotechnology (5 papers), Corneal Surgery and Treatments (4 papers) and DNA Repair Mechanisms (4 papers). Madeline Yung collaborates with scholars based in United States, China and Switzerland. Madeline Yung's co-authors include Michael A. Klufas, David Sarraf, Chi‐Hong Tseng, Jeffrey H Miller, Sophie X. Deng, Edmund Tsui, Eliot R. Dow, Qihua Le, Hanjing Yang and Elinne Becket and has published in prestigious journals such as PLoS ONE, Journal of Bacteriology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Madeline Yung

16 papers receiving 384 citations

Author Peers

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

Author						Papers	Cites
Madeline Yung	164	139	132	76	75	18	400
F. Mark Billson	181 1.1×	60 0.4×	110 0.8×	23 0.3×	86 1.1×	17	342
Lee A. Wiley	119 0.7×	73 0.5×	220 1.7×	45 0.6×	192 2.6×	19	391
David Hui‐Kang	153 0.9×	53 0.4×	112 0.8×	8 0.1×	108 1.4×	18	340
Noopur Gupta	78 0.5×	60 0.4×	229 1.7×	25 0.3×	87 1.2×	18	373
Inna Maltseva	37 0.2×	116 0.8×	78 0.6×	14 0.2×	85 1.1×	18	396
Trevor Carmichael	319 1.9×	92 0.7×	240 1.8×	36 0.5×	98 1.3×	20	444
Mauricio A. Lande	39 0.2×	158 1.1×	85 0.6×	45 0.6×	62 0.8×	17	375
Shi Zhuan Tan	344 2.1×	54 0.4×	174 1.3×	13 0.2×	95 1.3×	25	423
Beatrijs Foets	132 0.8×	34 0.2×	180 1.4×	22 0.3×	95 1.3×	29	359
Marc Schrooyen	165 1.0×	53 0.4×	45 0.3×	56 0.7×	12 0.2×	18	373

Countries citing papers authored by Madeline Yung

Since Specialization

Citations

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

Fields of papers citing papers by Madeline Yung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madeline Yung

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