Chien-Ling Su

26 total papers · 735 total citations
21 papers, 533 citations indexed

About

Chien-Ling Su is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Parasitology. According to data from OpenAlex, Chien-Ling Su has authored 21 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Public Health, Environmental and Occupational Health, 16 papers in Infectious Diseases and 7 papers in Parasitology. Recurrent topics in Chien-Ling Su's work include Mosquito-borne diseases and control (18 papers), Viral Infections and Vectors (16 papers) and Malaria Research and Control (8 papers). Chien-Ling Su is often cited by papers focused on Mosquito-borne diseases and control (18 papers), Viral Infections and Vectors (16 papers) and Malaria Research and Control (8 papers). Chien-Ling Su collaborates with scholars based in Taiwan, United States and Uganda. Chien-Ling Su's co-authors include Pei‐Yun Shu, Jyh-Hsiung Huang, Cheng-Fen Yang, Shu‐Fen Chang, Chien-Chou Lin, Hwa‐Jen Teng, Ho-Sheng Wu, Su-Lin Yang, Kun‐Hsien Tsai and Ting-Hsiang Lin and has published in prestigious journals such as Journal of Clinical Microbiology, Emerging infectious diseases and American Journal of Tropical Medicine and Hygiene.

In The Last Decade

Chien-Ling Su

20 papers receiving 519 citations

Author Peers

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

Author Last Decade Papers Cites
Chien-Ling Su 456 398 80 75 55 21 533
Diana I. Ortiz 473 1.0× 390 1.0× 74 0.9× 54 0.7× 86 1.6× 15 612
Mawlouth Diallo 567 1.2× 410 1.0× 44 0.6× 68 0.9× 76 1.4× 14 618
Armando Ulloa 437 1.0× 247 0.6× 55 0.7× 40 0.5× 65 1.2× 22 543
Peter Foley 378 0.8× 265 0.7× 79 1.0× 57 0.8× 80 1.5× 15 460
Narong Nitatpattana 393 0.9× 350 0.9× 80 1.0× 23 0.3× 47 0.9× 19 465
Walter Ceretti-Júnior 437 1.0× 215 0.5× 42 0.5× 42 0.6× 75 1.4× 28 513
Samson Konongoi 387 0.8× 482 1.2× 38 0.5× 43 0.6× 40 0.7× 26 566
Guillaume Lacour 383 0.8× 219 0.6× 58 0.7× 45 0.6× 62 1.1× 13 462
Darwin Elizondo‐Quiroga 490 1.1× 417 1.0× 45 0.6× 58 0.8× 78 1.4× 26 582
D. Phillips 411 0.9× 366 0.9× 90 1.1× 29 0.4× 50 0.9× 17 522

Countries citing papers authored by Chien-Ling Su

Since Specialization
Citations

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

Fields of papers citing papers by Chien-Ling Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien-Ling Su. 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 Chien-Ling Su. The network helps show where Chien-Ling Su may publish in the future.

Co-authorship network of co-authors of Chien-Ling Su

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