Paul C. Lambert
- Statistics and Probability top 0.1%
- Statistical Methods and Inference 44
- Statistical Methods in Clinical Trials 28
- Advanced Causal Inference Techniques 26
- Statistical Methods and Bayesian Inference 25
- Oncology top 1%
- Global Cancer Incidence and Screening 57
- Colorectal Cancer Screening and Detection 51
- Hematology top 1%
- Obstetrics and Gynecology top 1%
-
- Health Systems, Economic Evaluations, Quality of Life 61
-
- Genetic factors in colorectal cancer 18
- Co-authors
- Alex J. SuttonKeith R. AbramsRichard D RileyMichael SweetingPatrick RoystonGhada Abo-ZaidPaul W. DickmanDavid R. Jones
- Journals
- Statistics in Medicine (26 papers)BMC Medical Research Methodology (19 papers)British Journal of Cancer (18 papers)
- Partner nations
- United KingdomSwedenNorway
In The Last Decade
Paul C. Lambert
220 papers receiving 12.5k citations
Hit Papers
Peers
Comparison fields: 5 of 206
- Statistics and Probability 2.1k
- Statistics, Probability and Uncertainty 1.2k
- Oncology 2.6k
- Hematology 870
- Obstetrics and Gynecology 532
Countries citing papers authored by Paul C. Lambert
This map shows the geographic impact of Paul C. Lambert'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 Paul C. Lambert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul C. Lambert more than expected).
Fields of papers citing papers by Paul C. Lambert
This network shows the impact of papers produced by Paul C. Lambert. 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 Paul C. Lambert. The network helps show where Paul C. Lambert may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paul C. Lambert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 12 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 6 | |
| 12 | 2021 | 4 | |
| 13 | 2021 | 56 | |
| 14 | 2021 | 12 | |
| 15 | STANDSURV: Stata module to compute standardized (marginal) survival and related functions | 2021 | 2 |
| 16 | 2020 | 34 | |
| 17 | 2012 | 15 | |
| 18 | Meta-analysis of individual participant data: rationale, conduct, and reportingbreakdown → | 2010 | 1083 |
| 19 | 1996 | 30 | |
| 20 | 1995 | 90 |
About Paul C. Lambert
Paul C. Lambert is a scholar working on Statistics and Probability, Oncology and Statistics, Probability and Uncertainty, having authored 225 papers that have together received 12.8k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (61 papers), Global Cancer Incidence and Screening (57 papers), Colorectal Cancer Screening and Detection (51 papers), Statistical Methods and Inference (44 papers), Statistical Methods in Clinical Trials (28 papers), Advanced Causal Inference Techniques (26 papers), Statistical Methods and Bayesian Inference (25 papers) and Genetic factors in colorectal cancer (18 papers). The work is most often cited by research in Statistics and Probability (2.1k citations), Statistics, Probability and Uncertainty (1.2k citations) and Oncology (2.6k citations). Paul C. Lambert has collaborated with scholars based in United Kingdom, Sweden and Norway. Frequent co-authors include Alex J. Sutton, Keith R. Abrams, Richard D Riley, Michael Sweeting, Patrick Royston, Ghada Abo-Zaid, Paul W. Dickman, David R. Jones, Michael J. Crowther and Therése Andersson. Their work appears in journals such as Statistics in Medicine, BMC Medical Research Methodology, British Journal of Cancer, Cancer Epidemiology and The Stata Journal Promoting communications on statistics and Stata.
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.