Su L. Chiang

1.1k total citations
10 papers, 906 citations indexed

About

Su L. Chiang is a scholar working on Endocrinology, Molecular Biology and Immunology. According to data from OpenAlex, Su L. Chiang has authored 10 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, 4 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Su L. Chiang's work include Vibrio bacteria research studies (6 papers), Escherichia coli research studies (5 papers) and Aquaculture disease management and microbiota (3 papers). Su L. Chiang is often cited by papers focused on Vibrio bacteria research studies (6 papers), Escherichia coli research studies (5 papers) and Aquaculture disease management and microbiota (3 papers). Su L. Chiang collaborates with scholars based in United States and United Kingdom. Su L. Chiang's co-authors include John J. Mekalanos, Eric J. Rubin, David W. Holden, Amina S. Woods, Gregory D. Pearson, Ronald K. Taylor, Michael Koomey, Léonard Rabinow, James A. Birchler and Maria Uria-Nickelsen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genetics and Molecular Microbiology.

In The Last Decade

Su L. Chiang

10 papers receiving 889 citations

Peers

Su L. Chiang

ENDOC

MB

IMMUN

ECOLO

GENET

Marc B. Rogers United States

Jane M. Michalski United States

Myonsun Yoh Japan

Sylvie Michaux‐Charachon France

Chengping Lu China

Carlos J. Blondel Chile

Gerhard Heusipp Germany

H Danbara Japan

Karla Jean Fullner United States

Yanfeng Yan China

Marc B. Rogers United States

Su L. Chiang

424 ×0.9

ENDOC

249 ×0.7

MB

227 ×1.0

IMMUN

70 ×0.4

ECOLO

135 ×0.8

GENET

Citations per year, relative to Su L. Chiang Su L. Chiang (= 1×) peers Marc B. Rogers

Countries citing papers authored by Su L. Chiang

Since Specialization

Citations

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

Fields of papers citing papers by Su L. Chiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su L. Chiang. 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 Su L. Chiang. The network helps show where Su L. Chiang may publish in the future.

Co-authorship network of co-authors of Su L. Chiang

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Duffy, Erin M, Ed T. Buurman, Su L. Chiang, et al.. (2021). The CARB-X Portfolio of Nontraditional Antibacterial Products. ACS Infectious Diseases. 7(8). 2043–2049. 13 indexed citations

2.

Tolopko, Andrew, John P. Sullivan, David M. Wrobel, et al.. (2010). Screensaver: an open source lab information management system (LIMS) for high throughput screening facilities. BMC Bioinformatics. 11(1). 260–260. 23 indexed citations

3.

Chiang, Su L. & Eric J. Rubin. (2002). Construction of a mariner -based transposon for epitope-tagging and genomic targeting. Gene. 296(1-2). 179–185. 119 indexed citations

4.

Chiang, Su L. & John J. Mekalanos. (2000). Construction of a Vibrio cholerae Vaccine Candidate Using Transposon Delivery and FLP Recombinase-Mediated Excision. Infection and Immunity. 68(11). 6391–6397. 32 indexed citations

5.

Chiang, Su L. & John J. Mekalanos. (1999). rfb Mutations in Vibrio cholerae Do Not Affect Surface Production of Toxin-Coregulated Pili but Still Inhibit Intestinal Colonization. Infection and Immunity. 67(2). 976–980. 42 indexed citations

6.

Chiang, Su L., John J. Mekalanos, & David W. Holden. (1999). In Vivo Genetic Analysis of Bacterial Virulence. Annual Review of Microbiology. 53(1). 129–154. 167 indexed citations

7.

Chiang, Su L. & John J. Mekalanos. (1998). Use of signature‐tagged transposon mutagenesis to identify Vibrio cholerae genes critical for colonization. Molecular Microbiology. 27(4). 797–805. 216 indexed citations

8.

Chiang, Su L., Ronald K. Taylor, Michael Koomey, & John J. Mekalanos. (1995). Single amino acid substitutions in the N‐terminus of Vibrio cholerae TcpA affect colonization, autoagglutination, and serum resistance. Molecular Microbiology. 17(6). 1133–1142. 98 indexed citations

9.

Rabinow, Léonard, Su L. Chiang, & James A. Birchler. (1993). Mutations at the Darkener of apricot locus modulate transcript levels of copia and copia-induced mutations in Drosophila melanogaster.. Genetics. 134(4). 1175–1185. 32 indexed citations

10.

Pearson, Gregory D., Amina S. Woods, Su L. Chiang, & John J. Mekalanos. (1993). CTX genetic element encodes a site-specific recombination system and an intestinal colonization factor.. Proceedings of the National Academy of Sciences. 90(8). 3750–3754. 164 indexed citations

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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