Ge Bai

2.9k citations
145 papers · 1.8k · h-index 23

Impact in

    • Healthcare Policy and Management
    • Health Systems, Economic Evaluations, Quality of Life
    • Pharmaceutical Economics and Policy
    • Global Health Care Issues
    • Primary Care and Health Outcomes
    • Patient Satisfaction in Healthcare
    • Healthcare cost, quality, practices

Papers in

    • Healthcare Policy and Management 45
    • Pharmaceutical Economics and Policy 13
    • Health Systems, Economic Evaluations, Quality of Life 11
    • Global Health Care Issues 15
    • Primary Care and Health Outcomes 12
    • Patient Satisfaction in Healthcare 11
    • Healthcare cost, quality, practices 9

Ge Bai

136 papers receiving 1.8k citations

Peers

Ge Bai
Comparison fields: 5 of 155
  • Economics and Econometrics 547
  • General Health Professions 377
  • Health Informatics 19
  • Family Practice 21
  • Health Information Management 48
Replace Sean P. Keehan with:
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Citations per field
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Sean P. Keehan · 1×
Citations per year

Countries citing papers authored by Ge Bai

Since Specialization
Citations

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

Fields of papers citing papers by Ge Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015131
2 2016113
3 201694
4 201273
5 201860
6 201659
7 202052
8 202146
9 202146
10 202343
11 201141
12 201737
13 201734
14 201829
15 201029
16 202129
17 201729
18 201728
19 202227
20 202326

About Ge Bai

Ge Bai is a scholar working on Economics and Econometrics, General Health Professions, Pharmacology, Oncology and Accounting, having authored 145 papers that have together received 1.8k indexed citations. Recurring topics across this work include Healthcare Policy and Management (45 papers), Global Health Care Issues (15 papers), Pharmaceutical Economics and Policy (13 papers), Primary Care and Health Outcomes (12 papers), Health Systems, Economic Evaluations, Quality of Life (11 papers), Patient Satisfaction in Healthcare (11 papers), Pharmaceutical industry and healthcare (10 papers) and Healthcare cost, quality, practices (9 papers). The work is most often cited by research in Economics and Econometrics (547 citations), General Health Professions (377 citations), Health Informatics (19 citations), Family Practice (21 citations) and Health Information Management (48 citations). Ge Bai has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Gerard F. Anderson, John Jiang, Robert A. Lavin, Mariana P. Socal, Martin A. Makary, Hossein Zare, Yang Wang, Aditi P. Sen, Daniel Polsky and David A. Hyman. Their work appears in journals such as Health Affairs, JAMA Network Open, Journal of General Internal Medicine, JAMA Internal Medicine and Medical Care Research and Review.

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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