Yi Ling Lai

54 total papers · 1.5k total citations
32 papers, 1.0k citations indexed

About

Yi Ling Lai is a scholar working on Epidemiology, Applied Microbiology and Biotechnology and Infectious Diseases. According to data from OpenAlex, Yi Ling Lai has authored 32 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 8 papers in Applied Microbiology and Biotechnology and 7 papers in Infectious Diseases. Recurrent topics in Yi Ling Lai's work include Antibiotic Use and Resistance (8 papers), Antibiotic Resistance in Bacteria (7 papers) and Bacterial Identification and Susceptibility Testing (5 papers). Yi Ling Lai is often cited by papers focused on Antibiotic Use and Resistance (8 papers), Antibiotic Resistance in Bacteria (7 papers) and Bacterial Identification and Susceptibility Testing (5 papers). Yi Ling Lai collaborates with scholars based in United States, China and Poland. Yi Ling Lai's co-authors include Sameer S. Kadri, Jennifer Adjemian, Emily Ricotta, Robert L. Danner, D. Rebecca Prevots, John P. Dekker, John H. Powers, Michael Klompas, Chanu Rhee and Tara N. Palmore and has published in prestigious journals such as Nature Communications, Advanced Drug Delivery Reviews and Clinical Infectious Diseases.

In The Last Decade

Yi Ling Lai

30 papers receiving 1.0k citations

Hit Papers

Difficult-to-Treat Resist... 2018 2026 2020 2023 2018 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Yi Ling Lai 428 386 342 250 217 32 1.0k
Alice J. Hsu 452 1.1× 398 1.0× 216 0.6× 298 1.2× 156 0.7× 41 1.0k
Enrico Tagliaferri 606 1.4× 353 0.9× 276 0.8× 271 1.1× 140 0.6× 35 1.1k
Grace C. Lee 269 0.6× 325 0.8× 198 0.6× 338 1.4× 167 0.8× 41 1.0k
Shawn H. MacVane 515 1.2× 424 1.1× 322 0.9× 164 0.7× 305 1.4× 34 967
Hyun Kyun Ki 341 0.8× 481 1.2× 160 0.5× 242 1.0× 220 1.0× 45 998
Twisha S Patel 367 0.9× 434 1.1× 295 0.9× 211 0.8× 254 1.2× 59 942
Aleksandra Wierzbowski 425 1.0× 580 1.5× 170 0.5× 282 1.1× 118 0.5× 31 1.1k
Pilar Retamar 571 1.3× 491 1.3× 409 1.2× 160 0.6× 409 1.9× 33 1.2k
José Garnacho‐Montero 250 0.6× 526 1.4× 269 0.8× 167 0.7× 193 0.9× 41 1.1k
Renato Pascale 329 0.8× 281 0.7× 227 0.7× 201 0.8× 150 0.7× 60 834

Countries citing papers authored by Yi Ling Lai

Since Specialization
Citations

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

Fields of papers citing papers by Yi Ling Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi Ling Lai. 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 Yi Ling Lai. The network helps show where Yi Ling Lai may publish in the future.

Co-authorship network of co-authors of Yi Ling Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Ling Lai. A scholar is included among the top collaborators of Yi Ling Lai 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 Yi Ling Lai. Yi Ling Lai 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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