Ping Gao

767 citations
30 papers · 371 · h-index 11

Impact in

Papers in

Ping Gao

25 papers receiving 348 citations

Peers

Ping Gao
Comparison fields: 5 of 77
  • Statistics and Probability 204
  • Management Science and Operations Research 114
  • Statistics, Probability and Uncertainty 30
  • Economics and Econometrics 63
  • Microbiology 13
Replace Carl‐Fredrik Burman with:
Carl‐Fredrik Burman Sweden
Moreno Ursino France
Jeff Maca United States
Cornelia Dunger‐Baldauf Switzerland
Bhuvana Jayaraman United States
Anna McGlothlin United States
Takahiro Hasegawa Japan
Jonathan Monteleone United States
Simona Skerjanec United States
J. L. Haybittle United Kingdom
Ping Gao relative to Carl‐Fredrik Burman Sweden Carl‐Fredrik Burman's profile →
Citations per field
00.5×1.5×
Carl‐Fredrik Burman · 1×
Citations per year

Countries citing papers authored by Ping Gao

Since Specialization
Citations

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

Fields of papers citing papers by Ping Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200978
2 200876
3 201730
4 201323
5 201122
6 201417
7 201717
8 200715
9 201814
10 201911
11 202010
12 20169
13 20148
14 20237
15 20117
16 20136
17 20165
18
The Effect of Intensive Statin Therapy on Symptomatic Intracranial Arterial Stenosis.
20183
19 20252
20 20232

About Ping Gao

Ping Gao is a scholar working on Statistics and Probability, Management Science and Operations Research, Economics and Econometrics, Surgery and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 371 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (13 papers), Optimal Experimental Design Methods (10 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Statistical Methods and Bayesian Inference (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Gene expression and cancer classification (2 papers), Neurological Disease Mechanisms and Treatments (2 papers) and Health disparities and outcomes (2 papers). The work is most often cited by research in Statistics and Probability (204 citations), Management Science and Operations Research (114 citations), Statistics, Probability and Uncertainty (30 citations), Economics and Econometrics (63 citations) and Microbiology (13 citations). Ping Gao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Cyrus R. Mehta, James H. Ware, Lingyun Liu, Robert A. Harrington, Deepak L. Bhatt, Simona Skerjanec, Pralay Senchaudhuri, Wenwei Yun, Xianju Zhou and Zhihua Cao. Their work appears in journals such as Journal of Biopharmaceutical Statistics, Statistics in Medicine, Frontiers in Pharmacology, Circulation and Biometrics.

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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