Eric M. Cheng

94 papers receiving 2.3k citations

Peers

Eric M. Cheng
Comparison fields: 5 of 111
  • Neurology 321
  • Health Information Management 174
  • General Health Professions 403
  • Epidemiology 547
  • Rehabilitation 86
Replace Claire M. Spettell with:
Claire M. Spettell United States
Peter Hanlon United Kingdom
Peter J. Veazie United States
Julie Haesebaert France
Henk Schers Netherlands
Katie Gallacher United Kingdom
Victor D. Dinglas United States
Daniel Fife United States
Wenqin Pan United States
Martin L. Verra Switzerland
Eric M. Cheng relative to Claire M. Spettell United States Claire M. Spettell's profile →
Citations per field
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Claire M. Spettell · 1×
Citations per year

Countries citing papers authored by Eric M. Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Eric M. Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007162
2 2013161
3 2018107
4
Cancer risk behaviors and screening rates among homeless adults in Los Angeles County.
200294
5 200490
6 201077
7 200765
8
Acute stroke diagnosis.
200962
9 201560
10 202160
11 201759
12 201557
13 202057
14 200854
15 200652
16 200146
17 201046
18 200944
19 200840
20 201940

About Eric M. Cheng

Eric M. Cheng is a scholar working on Health Information Management, Epidemiology, General Health Professions, Public Health, Environmental and Occupational Health and Neurology, having authored 97 papers that have together received 2.4k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (34 papers), Electronic Health Records Systems (11 papers), Health Promotion and Cardiovascular Prevention (10 papers), Healthcare Quality and Management (9 papers), Parkinson's Disease Mechanisms and Treatments (9 papers), Blood Pressure and Hypertension Studies (7 papers), Cerebrovascular and Carotid Artery Diseases (7 papers) and Health Policy Implementation Science (6 papers). The work is most often cited by research in Neurology (321 citations), Health Information Management (174 citations), General Health Professions (403 citations), Epidemiology (547 citations) and Rehabilitation (86 citations). Eric M. Cheng has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Barbara G. Vickrey, William E. Cunningham, Alex Chen, Stefanie D. Vassar, Dawn M. Bravata, Gretchen Lano Birbeck, Jeffrey L. Saver, Andrew D. Siderowf, Salomeh Keyhani and Kari Swarztrauber. Their work appears in journals such as Neurology, Stroke, BMC Neurology, Circulation Cardiovascular Quality and Outcomes and Journal of Stroke and Cerebrovascular 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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