David Ha

34 papers receiving 298 citations

Peers

David Ha
Comparison fields: 5 of 57
  • Applied Microbiology and Biotechnology 91
  • Geriatrics and Gerontology 25
  • Molecular Medicine 30
  • Clinical Biochemistry 30
  • Health 28
Replace Daniel Kwame Afriyie with:
Daniel Kwame Afriyie Ghana
Gianpiero Tebano France
Kwame Ohene Buabeng Ghana
Jasmin Islam United Kingdom
Stuart Bond United Kingdom
Phumzile Skosana South Africa
B. Beović Slovenia
Danny Tsai Australia
Manal Algethamy Saudi Arabia
Juan Manuel Vázquez-Lago Spain
David Ha relative to Daniel Kwame Afriyie Ghana Daniel Kwame Afriyie's profile →
Citations per field
00.5×1.5×
Daniel Kwame Afriyie · 1×
Citations per year

Countries citing papers authored by David Ha

Since Specialization
Citations

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

Fields of papers citing papers by David Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202154
2 201751
3 201734
4 201930
5 202323
6 202116
7 202112
8 202212
9 201910
10 20198
11 20228
12 20257
13 20237
14 20196
15 20235
16 20225
17 20193
18 20213
19 20223
20 20252

About David Ha

David Ha is a scholar working on Epidemiology, Applied Microbiology and Biotechnology, Infectious Diseases, Pharmacology and General Health Professions, having authored 36 papers that have together received 314 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (11 papers), Bacterial Identification and Susceptibility Testing (4 papers), Patient Satisfaction in Healthcare (3 papers), Pneumonia and Respiratory Infections (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Pharmaceutical Practices and Patient Outcomes (3 papers), Vaccine Coverage and Hesitancy (3 papers) and Antifungal resistance and susceptibility (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (91 citations), Geriatrics and Gerontology (25 citations), Molecular Medicine (30 citations), Clinical Biochemistry (30 citations) and Health (28 citations). David Ha has collaborated with scholars based in United States, Vietnam and Saudi Arabia. Frequent co-authors include Daniel Gluckstein, Nina M. Haste, Salisa C. Westrick, Marisa Holubar, Lina Meng, Emily Mui, Stan Deresinski, Christopher D Stave, Kimberly B. Garza and Mark Bounthavong. Their work appears in journals such as Open Forum Infectious Diseases, Journal of the American Pharmacists Association, Research in Social and Administrative Pharmacy, Vaccine and Clinical Infectious Diseases.

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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