Abel Kho

11.5k citations
132 papers · 3.3k · h-index 31

Impact in

Papers in

Abel Kho

124 papers receiving 3.2k citations

Peers

Abel Kho
Comparison fields: 5 of 147
  • Health Informatics 139
  • Health Information Management 381
  • Computational Mathematics 32
  • Nephrology 89
  • Genetics 367
Replace Luke V. Rasmussen with:
Luke V. Rasmussen United States
Jennifer A. Pacheco United States
Peggy Peissig United States
Katherine P. Liao United States
Melissa Basford United States
Ann Marie Návar United States
Rachel Richesson United States
Chunhua Weng United States
Jill M. Pulley United States
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Citations per field
00.5×2.5×
Luke V. Rasmussen · 1×
Citations per year

Countries citing papers authored by Abel Kho

Since Specialization
Citations

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

Fields of papers citing papers by Abel Kho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 132 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011270
2 2011228
3 2012183
4 2023119
5 2020112
6 2015107
7 2013102
8 201299
9 201288
10 201377
11 201675
12
Analyzing the heterogeneity and complexity of Electronic Health Record oriented phenotyping algorithms.
201173
13 201872
14 201971
15 201669
16 201868
17 201664
18 201749
19 201747
20 201544

About Abel Kho

Abel Kho is a scholar working on Health Information Management, General Health Professions, Infectious Diseases, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 132 papers that have together received 3.3k indexed citations. Recurring topics across this work include Electronic Health Records Systems (18 papers), Antimicrobial Resistance in Staphylococcus (7 papers), Genetic Associations and Epidemiology (7 papers), Health Policy Implementation Science (7 papers), Biomedical Text Mining and Ontologies (7 papers), Primary Care and Health Outcomes (6 papers), Data Quality and Management (4 papers) and Artificial Intelligence in Healthcare (4 papers). The work is most often cited by research in Health Informatics (139 citations), Health Information Management (381 citations), Computational Mathematics (32 citations), Nephrology (89 citations) and Genetics (367 citations). Abel Kho has collaborated with scholars based in United States, Philippines and Canada. Frequent co-authors include Joshua C. Denny, Jennifer A. Pacheco, Peggy Peissig, Luke V. Rasmussen, Christopher G. Chute, Jyotishman Pathak, Rex L. Chisholm, Kathryn Jackson, Iftikhar J. Kullo and Theresa L. Walunas. Their work appears in journals such as Journal of the American Medical Informatics Association, Journal of Biomedical Informatics, The Journal of the American Board of Family Medicine, The Annals of Family Medicine and Circulation.

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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