Annette Chiang

927 citations
10 papers · 671 indexed · 1 hit paper · h-index 8

Annette Chiang

10 papers receiving 665 citations

Hit Papers

From CFTR biology toward combinatorial pharmacotherapy: e...4222016202620192022100200300400

Peers

Annette Chiang
Comparison fields: 5 of 81
  • Pulmonary and Respiratory Medicine 375
  • Molecular Biology 263
  • Parasitology 23
  • Cell Biology 43
  • Genetics 27
Replace B.W. Noland with:
B.W. Noland United States
Bret J. Stephens United States
Vidya P. Kumar United States
Joseph Fowble United States
Agnes Lau Canada
George Jones United States
Tsuyoshi Katoh Japan
Virginia Lotti Italy
Michael Z. Wang United States
Qianhui Dou United States
Annette Chiang relative to B.W. Noland United States B.W. Noland's profile →
Citations per field
00.5×5.8×
B.W. Noland · 1×
Citations per year

Countries citing papers authored by Annette Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Annette Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Annette Chiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Annette Chiang Line = papers co-authored together Annette Chiang links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 20224
2 20215
3 20219
4 201817
5 201622
6
From CFTR biology toward combinatorial pharmacotherapy: expanded classification of cystic fibrosis mutationsbreakdown →
2016422
7 201120
8 201043
9 2009114
10 198515

About Annette Chiang

Annette Chiang is a scholar working on Computational Theory and Mathematics, Clinical Biochemistry and Pulmonary and Respiratory Medicine, having authored 10 papers that have together received 671 indexed citations. Recurring topics across this work include Heat shock proteins research (4 papers), Protein Structure and Dynamics (3 papers), Computational Drug Discovery Methods (3 papers), Cystic Fibrosis Research Advances (3 papers), Receptor Mechanisms and Signaling (2 papers), Hormonal and reproductive studies (1 paper), Respiratory viral infections research (1 paper) and Neuroendocrine regulation and behavior (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (375 citations), Molecular Biology (263 citations) and Parasitology (23 citations). Annette Chiang has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Jeffrey L. Brodsky, Eric J. Sorscher, Jeong S. Hong, Raymond A. Frizzell, Zhiwei Cai, Guido Veit, Scott A. Houck, David N. Sheppard, Harvey B. Pollard and Radu G. Avramescu. Their work appears in journals such as PLoS ONE, Endocrinology and Molecular Biology of the Cell.

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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