Ping Gao

748 citations
29 papers · 350 · h-index 11

Impact in

Papers in

Ping Gao

23 papers receiving 330 citations

Peers

Ping Gao
Comparison fields: 5 of 83
  • Statistics and Probability 195
  • Management Science and Operations Research 110
  • Statistics, Probability and Uncertainty 28
  • Microbiology 14
  • Economics and Econometrics 59
Replace Moreno Ursino with:
Moreno Ursino France
Cornelia Dunger‐Baldauf Switzerland
Jeff Maca United States
Gorana Capkun-Niggli Switzerland
Simona Skerjanec United States
Jonathan Monteleone United States
Julia B. Zalokar United States
K. F. Cheng Taiwan
Kanae Togo Japan
Thorsten Vetter Netherlands
Ping Gao relative to Moreno Ursino France Moreno Ursino's profile →
Citations per field
00.5×10×14.5×
Moreno Ursino · 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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200872
2 200971
3 201730
4 201122
5 201321
6 201717
7 201416
8 200714
9 201814
10 201911
11 202010
12 20148
13 20117
14 20167
15 20236
16 20165
17 20135
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 29 papers that have together received 350 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (12 papers), Optimal Experimental Design Methods (9 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Acute Ischemic Stroke Management (3 papers), Statistical Methods and Bayesian Inference (2 papers), Pharmaceutical studies and practices (2 papers) and Neurological Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Statistics and Probability (195 citations), Management Science and Operations Research (110 citations), Statistics, Probability and Uncertainty (28 citations), Microbiology (14 citations) and Economics and Econometrics (59 citations). Ping Gao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Cyrus R. Mehta, James H. Ware, Lingyun Liu, Deepak L. Bhatt, Robert A. Harrington, Simona Skerjanec, Pralay Senchaudhuri, Wenwei Yun, Peiyang Zhou and Min Zhang. Their work appears in journals such as Journal of Biopharmaceutical Statistics, Statistics in Medicine, Brain Research, Lipids in Health and Disease and Vaccine.

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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