John Lawrence

2.0k citations
70 papers · 1.1k · h-index 18

Impact in

Papers in

    • Statistical Methods in Clinical Trials 24
    • Advanced Causal Inference Techniques 10
    • Statistical Methods and Inference 5
    • Statistical Methods and Bayesian Inference 4

John Lawrence

66 papers receiving 1.1k citations

Peers

John Lawrence
Comparison fields: 5 of 138
  • Statistics and Probability 285
  • Renewable Energy, Sustainability and the Environment 219
  • Management Science and Operations Research 133
  • Statistics, Probability and Uncertainty 67
  • Nephrology 45
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Citations per field
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Citations per year

Countries citing papers authored by John Lawrence

Since Specialization
Citations

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

Fields of papers citing papers by John Lawrence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015243
2 2002146
3 200646
4 200744
5 201643
6 201241
7 199834
8 201734
9 199432
10 201230
11 200228
12 200328
13 199623
14
The effect of somatostatin on 5-hydroxytryptamine release from a carcinoid tumor.
199022
15 199719
16 199719
17 197218
18 199117
19 201317
20 199716

About John Lawrence

John Lawrence is a scholar working on Statistics and Probability, Surgery, Cardiology and Cardiovascular Medicine, Economics and Econometrics and Statistics, Probability and Uncertainty, having authored 70 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (24 papers), Health Systems, Economic Evaluations, Quality of Life (11 papers), Advanced Causal Inference Techniques (10 papers), Meta-analysis and systematic reviews (8 papers), Optimal Experimental Design Methods (8 papers), Statistical Methods and Inference (5 papers), Statistical Methods and Bayesian Inference (4 papers) and Blood Pressure and Hypertension Studies (3 papers). The work is most often cited by research in Statistics and Probability (285 citations), Renewable Energy, Sustainability and the Environment (219 citations), Management Science and Operations Research (133 citations), Statistics, Probability and Uncertainty (67 citations) and Nephrology (45 citations). John Lawrence has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Hung Hung, Sue‐Jane Wang, Christopher E. D. Chidsey, Paul C. McIntyre, Andrew G. Scheuermann, Paul K. Hurley, Kyle W. Kemp, Yi Tsong, Henry Feuer and Jogarao Gobburu. Their work appears in journals such as Journal of Biopharmaceutical Statistics, Journal of Pediatric Surgery, Biometrical Journal, Statistics in Biopharmaceutical Research and Statistics in Medicine.

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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