Guogen Shan

2.5k citations
146 papers · 1.7k indexed · h-index 22

Impact in

Papers in

Guogen Shan

133 papers receiving 1.7k citations

Peers

Guogen Shan
Comparison fields: 5 of 178
  • Statistics and Probability 681
  • Management Science and Operations Research 308
  • Statistics, Probability and Uncertainty 129
  • Research and Theory 12
  • Psychiatry and Mental health 178
Replace Andrew P. Grieve with:
Andrew P. Grieve United Kingdom
Adrian Mander United Kingdom
Munyaradzi Dimairo United Kingdom
Dipankar Bandyopadhyay United States
Rebecca Holman Netherlands
Maria Blettner Germany
Simon Day United Kingdom
Kit C. B. Roes Netherlands
Timothy Collier United Kingdom
Gernot Wassmer Germany
Guogen Shan relative to Andrew P. Grieve United Kingdom Andrew P. Grieve's profile →
Citations per field
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Andrew P. Grieve · 1×
Citations per year

Countries citing papers authored by Guogen Shan

Since Specialization
Citations

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

Fields of papers citing papers by Guogen Shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20242
4 20242
5 20242
6 20241
7 20232
8 20222
9 20229
10 20213
11 202019
12 20203
13 20191
14 201833
15 201839
16 201623
17 20158
18
EHR Adoption and Cost of Care – Evidence from Patient Safety Indicators
20154
19 20142
20 201018

About Guogen Shan

Guogen Shan is a scholar working on Statistics and Probability, Management Science and Operations Research, Statistics, Probability and Uncertainty, Psychiatry and Mental health and Research and Theory, having authored 146 papers that have together received 1.7k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (64 papers), Optimal Experimental Design Methods (33 papers), Statistical Methods and Bayesian Inference (32 papers), Statistical Methods and Inference (15 papers), Traumatic Brain Injury Research (13 papers), Dementia and Cognitive Impairment Research (11 papers), Reliability and Agreement in Measurement (9 papers) and Advanced Statistical Methods and Models (9 papers). The work is most often cited by research in Statistics and Probability (681 citations), Management Science and Operations Research (308 citations), Statistics, Probability and Uncertainty (129 citations), Research and Theory (12 citations) and Psychiatry and Mental health (178 citations). Guogen Shan has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Shawn Gerstenberger, Gregory E. Wilding, Alan D. Hutson, Weizhen Wang, Chang‐Xing Ma, Hua Zhang, Charles Bernick, Ece Bayram, Tao Jiang and Sarah J. Banks. Their work appears in journals such as Journal of Biopharmaceutical Statistics, Statistical Methods in Medical Research, BMC Medical Research Methodology, PLoS ONE and Statistics in Biopharmaceutical Research.

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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