Ada Huang

2.2k citations
4 papers · 1.1k · 1 hit paper · h-index 3

Impact in

Papers in

Ada Huang

4 papers receiving 1.0k citations

Ada Huang's Hit Papers

The Outbreak of West Nile Virus Infection in the New York City Area in 1999 2001 · 1.1k citations
1.1k0+8+16Years since publication2505007501000

Peers

Ada Huang
Comparison fields: 5 of 75
  • Infectious Diseases 735
  • Public Health, Environmental and Occupational Health 904
  • Modeling and Simulation 78
  • Parasitology 67
  • Epidemiology 201
Replace Margaret Sherman with:
Margaret Sherman United States
Jennifer Lehman United States
Séverine Matheus French Guiana
Babasaheb V. Tandale India
Bijon Kumar Sil Bangladesh
Satu Kurkela Finland
Giuliano Silvi Italy
Caio C. M. Freire Brazil
Poh‐Sim Hooi Malaysia
Paolo M. A. Zanotto Brazil
Ada Huang relative to Margaret Sherman United States Margaret Sherman's profile →
Citations per field
00.5×1.5×
Margaret Sherman · 1×
Citations per year

Countries citing papers authored by Ada Huang

Since Specialization
Citations

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

Fields of papers citing papers by Ada Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ada Huang, 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 Ada Huang Line = papers co-authored together Ada Huang links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown

About Ada Huang

Ada Huang is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Molecular Biology, Critical Care and Intensive Care Medicine and General Health Professions, having authored 4 papers that have together received 1.1k indexed citations. Recurring topics across this work include Geriatric Care and Nursing Homes (1 paper), Poxvirus research and outbreaks (1 paper), Disaster Response and Management (1 paper), Influenza Virus Research Studies (1 paper), Intensive Care Unit Cognitive Disorders (1 paper), Mosquito-borne diseases and control (1 paper), Zoonotic diseases and public health (1 paper) and Viral Infections and Vectors (1 paper). The work is most often cited by research in Infectious Diseases (735 citations), Public Health, Environmental and Occupational Health (904 citations), Modeling and Simulation (78 citations), Parasitology (67 citations) and Epidemiology (201 citations). Ada Huang has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include John T. Roehrig, Susan J. Wong, Annie D. Fine, Amy F. Rosenberg, Margaret Sherman, James R. Miller, Grant L. Campbell, Duane J. Gubler, Wun‐Ju Shieh and Denis Nash. Their work appears in journals such as New England Journal of Medicine, Journal of Public Health Management and Practice, Emerging infectious diseases and Journal of the National Medical Association.

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.

Explore authors with similar magnitude of impact