Chen‐Pin Wang

54 papers receiving 555 citations

Peers

Chen‐Pin Wang
Comparison fields: 5 of 89
  • Geriatrics and Gerontology 43
  • Emergency Medicine 41
  • Aging 8
  • Psychiatry and Mental health 60
  • Statistics and Probability 35
Replace Kendra Davis‐Plourde with:
Kendra Davis‐Plourde United States
Shayne N. Freemantle United Kingdom
Mary Rosenzweig Denmark
Andrew D. Mosholder United States
Konrad Schmidt Germany
Kathrin Jobski Germany
William Molloy Ireland
Andrew T. McAfee United States
Anne Bénard‐Laribière France
Pascal Caillet France
Chen‐Pin Wang relative to Kendra Davis‐Plourde United States Kendra Davis‐Plourde's profile →
Citations per field
00.5×8.2×
Kendra Davis‐Plourde · 1×
Citations per year

Countries citing papers authored by Chen‐Pin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chen‐Pin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen‐Pin Wang. 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 Chen‐Pin Wang. The network helps show where Chen‐Pin Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201658
2
Frailty Attenuates the Impact of Metformin on Reducing Mortality in Older Adults with Type 2 Diabetes.
201453
3 202237
4 201228
5 202128
6 201027
7 201925
8 201524
9 200719
10 200917
11 202016
12
Self-care communication during medical encounters: implications for future electronic medical records.
200614
13 202213
14 202211
15 202510
16 201410
17 202010
18 201110
19
Statins and Finasteride Use Differentially Modify the Impact of Metformin on Prostate Cancer Incidence in Men with Type 2 Diabetes.
201410
20 20259

About Chen‐Pin Wang

Chen‐Pin Wang is a scholar working on Statistics and Probability, General Health Professions, Epidemiology, Clinical Psychology and Cardiology and Cardiovascular Medicine, having authored 59 papers that have together received 570 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (5 papers), Statistical Methods and Bayesian Inference (5 papers), Traumatic Brain Injury Research (5 papers), Frailty in Older Adults (4 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Vascular Procedures and Complications (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Cardiac Arrest and Resuscitation (3 papers). The work is most often cited by research in Geriatrics and Gerontology (43 citations), Emergency Medicine (41 citations), Aging (8 citations), Psychiatry and Mental health (60 citations) and Statistics and Probability (35 citations). Chen‐Pin Wang has collaborated with scholars based in United States, Philippines and Australia. Frequent co-authors include Mary Jo Pugh, Carlos Lorenzo, Sara Espinoza, Megan E. Amuan, Carlos A. Jaramillo, Eric M. Mortensen, Paula K. Shireman, David F. Tate, Blessen C. Eapen and Laurel A. Copeland. Their work appears in journals such as Innovation in Aging, Journal of the American College of Surgeons, Neurology, Journal of the American Geriatrics Society and Annals of Surgery.

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.

Explore authors with similar magnitude of impact