Chung‐Yu Lan

3.0k citations
67 papers · 2.4k indexed · h-index 28
Topics
Antifungal resistance and susceptibility (31 papers)Antimicrobial Peptides and Activities (17 papers)Fungal Infections and Studies (17 papers)

In The Last Decade

Chung‐Yu Lan

67 papers receiving 2.3k citations

Peers

Chung‐Yu Lan
Comparison fields: 5 of 128
  • Molecular Biology 1.1k
  • Infectious Diseases 997
  • Epidemiology 620
  • Molecular Medicine 402
  • Microbiology 352
Replace Anthony R. Richardson with:
Anthony R. Richardson United States
Iris Keren United States
Brian P. Conlon United States
Bernhard Krismer Germany
Kyoko Kuwahara‐Arai Japan
Sarah E. Rowe United States
Vincent M. Bruno United States
Elżbieta Brzuszkiewicz Germany
Vinai C. Thomas United States
Bénédicte Fournier France
Chung‐Yu Lan relative to Anthony R. Richardson United States Anthony R. Richardson's profile →
Citations per field
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Anthony R. Richardson · 1×
Citations per year

Countries citing papers authored by Chung‐Yu Lan

Since Specialization
Citations

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

Fields of papers citing papers by Chung‐Yu Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chung‐Yu Lan. 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 Chung‐Yu Lan. The network helps show where Chung‐Yu Lan may publish in the future.

Co-authorship network of co-authors of Chung‐Yu Lan

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 3
3 1
4 1
5 23
6 8
7 77
8 30
9 76
10 5
11 20
12 24
13 13
14 27
15 32
16 3
17 37
18
Actividad fungicida sobre Candida albicans de una variante de péptido sintético derivada de una fosfolipasa A2
16
19 214
20 221

About Chung‐Yu Lan

Chung‐Yu Lan is a scholar working on Microbiology, Molecular Medicine and Infectious Diseases, having authored 67 papers that have together received 2.4k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (31 papers), Antimicrobial Peptides and Activities (17 papers) and Fungal Infections and Studies (17 papers). The work is most often cited by research in Molecular Medicine (402 citations), Microbiology (352 citations) and Infectious Diseases (997 citations). Chung‐Yu Lan has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Ming-Feng Lin, Yun-You Lin, Nina Agabian, Cheng‐Yao Yang, Luis A. Murillo, George Newport, Po‐Chen Hsu, Michele M. Igo, Ronald W. Davis and Ted Jones. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

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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