Alex Cheng

1.1k total citations
36 papers, 387 citations indexed

About

Alex Cheng is a scholar working on Molecular Biology, General Health Professions and Oncology. According to data from OpenAlex, Alex Cheng has authored 36 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in General Health Professions and 5 papers in Oncology. Recurrent topics in Alex Cheng's work include Economic and Financial Impacts of Cancer (4 papers), Scientific Computing and Data Management (3 papers) and Biomedical Text Mining and Ontologies (3 papers). Alex Cheng is often cited by papers focused on Economic and Financial Impacts of Cancer (4 papers), Scientific Computing and Data Management (3 papers) and Biomedical Text Mining and Ontologies (3 papers). Alex Cheng collaborates with scholars based in United States, China and Singapore. Alex Cheng's co-authors include Mia Levy, Paul A. Harris, Andy Hickner, Robert W. Chang, Sanjay Saint, Mary A.M. Rogers, Latoya Kuhn, Sarah L. Krein, John M. Hollingsworth and Stephany N. Duda and has published in prestigious journals such as Annals of Internal Medicine, Journal of the American College of Cardiology and Journal of Virology.

In The Last Decade

Alex Cheng

30 papers receiving 383 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alex Cheng United States 12 107 66 64 51 49 36 387
Earl Duncan Australia 8 50 0.5× 31 0.5× 178 2.8× 22 0.4× 29 0.6× 18 611
Gerard M. Healy Ireland 14 39 0.4× 8 0.1× 65 1.0× 67 1.3× 77 1.6× 41 616
L. Leibovici Israel 7 130 1.2× 36 0.5× 27 0.4× 16 0.3× 22 0.4× 8 386
Jared D. Huling United States 10 28 0.3× 12 0.2× 28 0.4× 38 0.7× 13 0.3× 45 306
Sue Zaleski United States 13 217 2.0× 9 0.1× 37 0.6× 13 0.3× 75 1.5× 22 466
Matthew B. Morgan United States 13 16 0.1× 23 0.3× 9 0.1× 49 1.0× 62 1.3× 27 799
Tong Deng China 12 52 0.5× 44 0.7× 19 0.3× 42 0.8× 39 0.8× 33 486
Adam Prater United States 12 57 0.5× 7 0.1× 17 0.3× 33 0.6× 25 0.5× 30 559
Travis Browning United States 13 269 2.5× 11 0.2× 8 0.1× 18 0.4× 52 1.1× 39 657
John Pike Canada 16 102 1.0× 339 5.1× 100 1.6× 14 0.3× 251 5.1× 31 657

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-authorship network of co-authors of Alex Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Alex Cheng. A scholar is included among the top collaborators of Alex Cheng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alex Cheng. Alex Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kost, Rhonda G., Joseph Andrews, Ranee Chatterjee, et al.. (2025). What research participants say about their research experiences in Empowering the Participant Voice: Outcomes and actionable data. Journal of Clinical and Translational Science. 9(1). e43–e43. 3 indexed citations
2.
Cheng, Alex, Stephany N. Duda, Günther A. Rezniczek, et al.. (2025). Supporting rapid innovation in research data capture and management: the REDCap external module framework. Journal of the American Medical Informatics Association. 32(7). 1149–1156.
3.
4.
Tinker, Rory J., Paul A. Harris, Alex Cheng, et al.. (2025). Accuracy of Large Language Models in Generating Rare Disease Differential Diagnosis Using Key Clinical Features. Studies in health technology and informatics. 329. 1054–1058.
5.
Bastarache, Lisa, et al.. (2024). Identifying and Extracting Rare Diseases and Their Phenotypes with Large Language Models. PubMed. 8(2). 438–461. 26 indexed citations
6.
Cheng, Alex, Ami V. Desai, Daniel J. Benedetti, et al.. (2024). Extracting Electronic Health Record Neuroblastoma Treatment Data With High Fidelity Using the REDCap Clinical Data Interoperability Services Module. JCO Clinical Cancer Informatics. 8(8). e2400009–e2400009. 1 indexed citations
7.
Meier, Shelby E., Alex Cheng, Maeve Tischbein, et al.. (2024). Impact of financial compensation on enrollment and participation in a remote, mobile-app based research study. Journal of Clinical and Translational Science. 8(1). e75–e75. 3 indexed citations
8.
Baker, Theresa, et al.. (2024). Consortium-driven rapid software validation for Research Electronic Data Capture (REDCap). Journal of Clinical and Translational Science. 9(1). e8–e8. 3 indexed citations
9.
Cheng, Alex, Loretta M. Byrne, Maeve Tischbein, et al.. (2023). ResearchMatch on FHIR: Development and evaluation of a recruitment registry and electronic health record system interface for volunteer profile completion. Journal of Clinical and Translational Science. 7(1). e222–e222. 2 indexed citations
10.
Kost, Rhonda G., Joseph Andrews, Ranee Chatterjee, et al.. (2023). 143 Wouldn’t you like to know what your research study participants are thinking? A collaboration for Empowering the Participant Voice. Journal of Clinical and Translational Science. 7(s1). 43–44.
11.
Weissman, Alexandra, Alex Cheng, Huaqin Pan, et al.. (2022). Development and implementation of the National Heart, Lung, and Blood Institute COVID-19 common data elements. Journal of Clinical and Translational Science. 6(1). e142–e142. 4 indexed citations
12.
Harris, Paul A., et al.. (2022). MyCap: a flexible and configurable platform for mobilizing the participant voice. JAMIA Open. 5(2). ooac047–ooac047. 17 indexed citations
13.
Duda, Stephany N., Nan Kennedy, Douglas Conway, et al.. (2022). HL7 FHIR-based tools and initiatives to support clinical research: a scoping review. Journal of the American Medical Informatics Association. 29(9). 1642–1653. 43 indexed citations
14.
Cheng, Alex, Jakea Johnson, Nan Kennedy, et al.. (2022). Evaluating automated electronic case report form data entry from electronic health records. Journal of Clinical and Translational Science. 7(1). e29–e29. 10 indexed citations
15.
16.
Cheng, Alex, Stephany N. Duda, Robert J. Taylor, et al.. (2021). REDCap on FHIR: Clinical Data Interoperability Services. Journal of Biomedical Informatics. 121. 103871–103871. 38 indexed citations
17.
18.
Newman, Lisa A., Laura Fejerman, Tuya Pal, et al.. (2021). Breast Cancer Disparities Through the Lens of the COVID-19 Pandemic. Current Breast Cancer Reports. 13(3). 110–112. 11 indexed citations
19.
Cheng, Alex & Jules White. (2018). Using Wayfinding Data to Understand Patient Travel Within a Medical Center.. Europe PMC (PubMed Central). 2018. 1216–1223.
20.
Hollingsworth, John M., Mary A.M. Rogers, Sarah L. Krein, et al.. (2013). Determining the Noninfectious Complications of Indwelling Urethral Catheters. Annals of Internal Medicine. 1 indexed citations

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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