Alex Cheng

30 papers receiving 383 citations

Peers

Alex Cheng
Comparison fields: 5 of 92
  • Health Informatics 18
  • Urology 66
  • Health Information Management 43
  • Family Practice 10
  • Rheumatology 64
Replace Gerard M. Healy with:
Gerard M. Healy Ireland
Jonathan Ungar United States
Adam Prater United States
Philip D. Anderson United States
Travis Browning United States
Jared D. Huling United States
Matthew B. Morgan United States
Marc D. Natter United States
Médina Ndoye Senegal
Jenny Carter United Kingdom
Alex Cheng relative to Gerard M. Healy Ireland Gerard M. Healy's profile →
Citations per field
00.5×8.3×
Gerard M. Healy · 1×
Citations per year

Countries citing papers authored by Alex Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Alex Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Alex Cheng, 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 Alex Cheng Line = papers co-authored together Alex Cheng 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 2013125
2 202243
3 202138
4 202426
5 202217
6
Determining Burden of Commuting for Treatment Using Online Mapping Services - A Study of Breast Cancer Patients.
201717
7 201614
8
Data Driven Approach to Burden of Treatment Measurement: A Study of Patients with Breast Cancer.
201614
9 201914
10 202111
11 200911
12 202211
13 202210
14 20224
15 20253
16 20243
17 20243
18 20213
19 20113
20
Clinical Assessment of Low Calcium In traUMa (CALCIUM).
20233

About Alex Cheng

Alex Cheng is a scholar working on Molecular Biology, General Health Professions, Oncology, Artificial Intelligence and Genetics, having authored 36 papers that have together received 387 indexed citations. Recurring topics across this work include Economic and Financial Impacts of Cancer (4 papers), Electronic Health Records Systems (3 papers), Mobile Health and mHealth Applications (3 papers), Research Data Management Practices (3 papers), Scientific Computing and Data Management (3 papers), Biomedical Text Mining and Ontologies (3 papers), Animal Virus Infections Studies (2 papers) and Urinary Bladder and Prostate Research (2 papers). The work is most often cited by research in Health Informatics (18 citations), Urology (66 citations), Health Information Management (43 citations), Family Practice (10 citations) and Rheumatology (64 citations). Alex Cheng has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Mia Levy, Paul A. Harris, Sarah L. Krein, Mary A.M. Rogers, Sanjay Saint, Andy Hickner, Latoya Kuhn, Robert W. Chang, John M. Hollingsworth and Stephany N. Duda. Their work appears in journals such as Annals of Internal Medicine, JCO Clinical Cancer Informatics, Journal of the American Medical Informatics Association, Human Vaccines & Immunotherapeutics and Emerging Microbes & Infections.

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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