Edna Y. Chiang

12 total papers · 708 total citations
12 papers, 542 citations indexed

About

Edna Y. Chiang is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Epidemiology. According to data from OpenAlex, Edna Y. Chiang has authored 12 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Public Health, Environmental and Occupational Health, 10 papers in Infectious Diseases and 2 papers in Epidemiology. Recurrent topics in Edna Y. Chiang's work include Streptococcal Infections and Treatments (11 papers), Neonatal and Maternal Infections (10 papers) and Antimicrobial Resistance in Staphylococcus (9 papers). Edna Y. Chiang is often cited by papers focused on Streptococcal Infections and Treatments (11 papers), Neonatal and Maternal Infections (10 papers) and Antimicrobial Resistance in Staphylococcus (9 papers). Edna Y. Chiang collaborates with scholars based in United States. Edna Y. Chiang's co-authors include James B. Dale, Thomas A. Penfound, David L. Hasty, Harry S. Courtney, Matthew N. Simmons, Shaoyou Liu, Stanford T. Shulman, Bernard Beall, W. W. Tourtellotte and Robert W. Baumhefner and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Immunology and Infection and Immunity.

In The Last Decade

Edna Y. Chiang

12 papers receiving 527 citations

Author Peers

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

Author						Papers	Cites
Edna Y. Chiang	488	428	121	39	33	12	542
J Mishal	428 0.9×	392 0.9×	74 0.6×	35 0.9×	20 0.6×	13	589
Melissa Osborn	165 0.3×	232 0.5×	233 1.9×	57 1.5×	41 1.2×	18	594
J Handley	421 0.9×	371 0.9×	97 0.8×	91 2.3×	58 1.8×	9	558
Frederick B. Rose	119 0.2×	231 0.5×	186 1.5×	43 1.1×	21 0.6×	16	583
Stefan Neuburger	83 0.2×	145 0.3×	176 1.5×	41 1.1×	20 0.6×	14	499
Dominique Rollin	360 0.7×	316 0.7×	202 1.7×	70 1.8×	56 1.7×	13	570
Jessica Oi‐Ling Tsang	303 0.6×	314 0.7×	138 1.1×	44 1.1×	74 2.2×	11	496
Sergio Pinto	200 0.4×	343 0.8×	237 2.0×	133 3.4×	101 3.1×	18	596
Jean P. Widdowson	387 0.8×	244 0.6×	126 1.0×	46 1.2×	62 1.9×	23	482
Joan Llull	313 0.6×	164 0.4×	186 1.5×	49 1.3×	20 0.6×	14	535

Countries citing papers authored by Edna Y. Chiang

Since Specialization

Citations

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

Fields of papers citing papers by Edna Y. Chiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edna Y. Chiang

This figure shows the co-authorship network connecting the top 25 collaborators of Edna Y. Chiang. A scholar is included among the top collaborators of Edna Y. 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 Edna Y. Chiang. Edna Y. Chiang 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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