G. Lu

6.0k citations
13 papers · 4.6k indexed · 3 hit papers · h-index 10

G. Lu

12 papers receiving 4.5k citations

Hit Papers

Consistency and inconsistency in network meta‐analysis:...1.5k200420262011201850010001.5k

Peers

G. Lu
Comparison fields: 5 of 177
  • Statistics, Probability and Uncertainty 781
  • Statistics and Probability 645
  • Experimental and Cognitive Psychology 331
  • Psychiatry and Mental health 323
  • Internal Medicine 77
Replace Rebecca Turner with:
Rebecca Turner United Kingdom
Guobing Lu United Kingdom
D G Altman United Kingdom
Neil Hawkins United Kingdom
Jessica Barrett United Kingdom
Joie Ensor United Kingdom
Jørgen Hilden Denmark
Kym I E Snell United Kingdom
Agnès Dechartres France
Eleanor Pullenayegum Canada
G. Lu relative to Rebecca Turner United Kingdom Rebecca Turner's profile →
Citations per field
00.5×1.5×
Rebecca Turner · 1×
Citations per year

Countries citing papers authored by G. Lu

Since Specialization
Citations

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

Fields of papers citing papers by G. Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 20240
2 20238
3 20165
4
Consistency and inconsistency in network meta‐analysis: concepts and models for multi‐arm studiesbreakdown →
20121464
5 2009142
6 200846
7 200790
8
The Interpretation of Random-Effects Meta-Analysis in Decision Modelsbreakdown →
2005715
9
Combination of direct and indirect evidence in mixed treatment comparisonsbreakdown →
20041698
10 200454
11 2004269
12 200325
13 199357

About G. Lu

G. Lu is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Economics and Econometrics, Analytical Chemistry and Agronomy and Crop Science, having authored 13 papers that have together received 4.6k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (5 papers), Statistical Methods and Bayesian Inference (4 papers), Statistical Methods in Clinical Trials (4 papers), Economic and Environmental Valuation (2 papers), Statistical Distribution Estimation and Applications (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Statistical Methods and Inference (2 papers) and Influenza Virus Research Studies (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (781 citations), Statistics and Probability (645 citations), Experimental and Cognitive Psychology (331 citations), Psychiatry and Mental health (323 citations) and Internal Medicine (77 citations). G. Lu has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include A. E. Ades, Julian P. T. Higgins, Jessica Barrett, Dan Jackson, Ian R. White, Karl Claxton, Alex J. Sutton, N.J. Cooper, Fotios Siannis and J. B. Copas. Their work appears in journals such as Statistics in Medicine, Biostatistics, Medical Decision Making, Forests and Research Synthesis Methods.

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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