Guoxing Soon

595 citations
25 papers · 388 · h-index 11

Impact in

Papers in

    • Statistical Methods in Clinical Trials 17
    • Advanced Causal Inference Techniques 13
    • Statistical Methods and Inference 10
    • HIV/AIDS Research and Interventions 3
    • HIV/AIDS drug development and treatment 3

Guoxing Soon

25 papers receiving 382 citations

Peers

Guoxing Soon
Comparison fields: 5 of 90
  • Statistics and Probability 178
  • Statistics, Probability and Uncertainty 50
  • Virology 29
  • Infectious Diseases 65
  • Economics and Econometrics 79
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Citations per year

Countries citing papers authored by Guoxing Soon

Since Specialization
Citations

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

Fields of papers citing papers by Guoxing Soon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201389
2 200356
3 201256
4 201730
5 201322
6 201519
7 201616
8 201715
9 201012
10 199612
11 201410
12 20177
13 20107
14 20137
15 20226
16 20146
17 20185
18 20143
19 20123
20 20082

About Guoxing Soon

Guoxing Soon is a scholar working on Statistics and Probability, Infectious Diseases, Management Science and Operations Research, Virology and Immunology, having authored 25 papers that have together received 388 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (17 papers), Advanced Causal Inference Techniques (13 papers), Statistical Methods and Inference (10 papers), Optimal Experimental Design Methods (4 papers), HIV Research and Treatment (3 papers), HIV/AIDS Research and Interventions (3 papers), HIV/AIDS drug development and treatment (3 papers) and Biosimilars and Bioanalytical Methods (2 papers). The work is most often cited by research in Statistics and Probability (178 citations), Statistics, Probability and Uncertainty (50 citations), Virology (29 citations), Infectious Diseases (65 citations) and Economics and Econometrics (79 citations). Guoxing Soon has collaborated with scholars based in United States, Netherlands and Thailand. Frequent co-authors include Lei Nie, Zhiwei Zhang, Harry W. Haverkos, Wallace B. Pickworth, Haitao Chu, Bradley P. Carlin, James D. Neaton, Robert L Kane, Beth A Virnig and Kimberly Struble. Their work appears in journals such as Statistics in Medicine, Journal of the Royal Statistical Society Series C (Applied Statistics), Biometrics, BMJ Open and The International Journal of Biostatistics.

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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