Kahn Ha

494 citations
7 papers · 406 · h-index 6

Impact in

Papers in

Kahn Ha

7 papers receiving 328 citations

Peers

Kahn Ha
Comparison fields: 5 of 75
  • Physiology 129
  • Otorhinolaryngology 16
  • Oncology 94
  • Public Health, Environmental and Occupational Health 98
  • Endocrinology, Diabetes and Metabolism 40
Replace Jóhanna E. Torfadóttir with:
Jóhanna E. Torfadóttir Iceland
Katharine J. Coombs United Kingdom
A. D. Kelly Canada
Ane Sørlie Kværner Norway
Chien‐Hsieh Chiang Taiwan
Soo Hyeong Park United States
Anna Bertocco Italy
Manami Inoue Japan
Devi Kundu United Kingdom
Kapo Yuen United States
Kahn Ha relative to Jóhanna E. Torfadóttir Iceland Jóhanna E. Torfadóttir's profile →
Citations per field
00.5×1.5×2.3×
Jóhanna E. Torfadóttir · 1×
Citations per year

Countries citing papers authored by Kahn Ha

Since Specialization
Citations

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

Fields of papers citing papers by Kahn Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Kahn Ha, 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 Kahn Ha Line = papers co-authored together Kahn Ha links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
The Dorn study of smoking and mortality among U.S. veterans: report on eight and one-half years of observation.
1966295
2
Serum cholesterol: its distribution and association with dietary and other variables in a survey of 10,000 men.
197077
3
Variations in prevalence of ischemic heart disease in defined segments of the male population of Israel.
196911
4
Hepatitis B in two Italian General Hospitals.
19838
5
The prevalence of ischemic heart disease in relation to selected variables.
19697
6
Quality assurance of clinical data: diagnostic standardization.
19796
7
The relationship of weight-loss to blood pressure in the obese, hypertensive adolescent.
19812

About Kahn Ha

Kahn Ha is a scholar working on General Health Professions, Epidemiology, Public Health, Environmental and Occupational Health, Physiology and Statistics, Probability and Uncertainty, having authored 7 papers that have together received 406 indexed citations. Recurring topics across this work include Health and Lifestyle Studies (1 paper), Hepatitis B Virus Studies (1 paper), Obesity, Physical Activity, Diet (1 paper), Meta-analysis and systematic reviews (1 paper) and Clinical Laboratory Practices and Quality Control (1 paper). The work is most often cited by research in Physiology (129 citations), Otorhinolaryngology (16 citations), Oncology (94 citations), Public Health, Environmental and Occupational Health (98 citations) and Endocrinology, Diabetes and Metabolism (40 citations). Frequent co-authors include Neufeld Hn, Medalie Jh, E Riss, Miriam Balogh, Nadia Solomon, P. Pasquini and A Panà. Their work appears in journals such as PubMed.

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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