Ge Gao

469 total citations
26 papers, 335 citations indexed

About

Ge Gao is a scholar working on Epidemiology, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Ge Gao has authored 26 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 8 papers in Statistics and Probability and 3 papers in Molecular Biology. Recurrent topics in Ge Gao's work include Survey Sampling and Estimation Techniques (6 papers), HIV, Drug Use, Sexual Risk (6 papers) and Reproductive Biology and Fertility (2 papers). Ge Gao is often cited by papers focused on Survey Sampling and Estimation Techniques (6 papers), HIV, Drug Use, Sexual Risk (6 papers) and Reproductive Biology and Fertility (2 papers). Ge Gao collaborates with scholars based in China, Japan and Taiwan. Ge Gao's co-authors include Yuhua Ruan, Hui Shi, Peng Zhou, Da‐Bing Lu, Qi Xiao, Dongliang Li, Jin Zhou, Rui Song, Yongrui He and Liang Wang and has published in prestigious journals such as PLoS ONE, Journal of Lipid Research and Molecular Cancer.

In The Last Decade

Ge Gao

21 papers receiving 328 citations

Peers

Ge Gao
Comparison fields: 5 of 108
  • Molecular Biology 102
  • Epidemiology 65
  • Infectious Diseases 43
  • Physiology 38
  • Cardiology and Cardiovascular Medicine 35
Replace Krista Goodman with:
Krista Goodman United States
Yutong Zhou China
Jean‐Pierre Jourdan France
Juan Song China
Rintu Kutum India
So Jung Park South Korea
Anu Gupta United States
Marissa F. Dockendorf United States
Michael Laimighofer Germany
Krista Goodman United States View profile →
Citations per field, relative to Ge Gao
Ge Gao · 1×
Citations per year, relative to Ge Gao
Ge Gao · 1×

Countries citing papers authored by Ge Gao

Since Specialization
Citations

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

Fields of papers citing papers by Ge Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ge Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Ge Gao. A scholar is included among the top collaborators of Ge Gao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ge Gao. Ge Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 0
4 31
5 1
6 23
7 5
8 66
9 4
10 6
11 7
12 18
13 9
14
The cardinal number estimation of men who have sex with men, in china.
1
15 0
16
The Survey among MSM Population in Beijing Using Two-Stage Sampling Method on RRT Model
0
17
STRATIFIED CLUSTER SAMPLING UNDER MULTIPLICATIVE MODEL FOR QUANTITATIVE SENSITIVE QUESTION SURVEY
1
18
[Efficacy comparison between micro invasive occlusion procedure and extracorporeal circulation procedure for treating patients with simple ventricular septal defect].
1
19 9
20 21

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

Rankless by CCL
2026