Timothy L. Lash

21.7k citations
348 papers · 15.0k indexed · 7 hit papers · h-index 60

Impact in

Papers in

    • Advanced Causal Inference Techniques 32
    • Statistical Methods in Clinical Trials 21
    • Global Cancer Incidence and Screening 48
    • Cancer Risks and Factors 33

Timothy L. Lash

332 papers receiving 14.6k citations

Hit Papers

The Incidence of Breast Cancer Recurrence 10-32 Years After Primary Diagnosis 2021 · 189 citations
18919862026199920124008001.2k

Peers

Timothy L. Lash
Comparison fields: 5 of 198
  • Family Practice 546
  • Statistics and Probability 1.2k
  • Oncology 3.6k
  • Cancer Research 1.9k
  • Internal Medicine 399
Replace Samy Suissa with:
Samy Suissa Canada
Benjamin Djulbegović United States
Petra Macaskill Australia
J. Jaime United States
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Liam Smeeth United Kingdom
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Timothy L. Lash relative to Samy Suissa Canada Samy Suissa's profile →
Citations per field
00.5×1.5×1.8×
Samy Suissa · 1×
Citations per year

Countries citing papers authored by Timothy L. Lash

Since Specialization
Citations

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

Fields of papers citing papers by Timothy L. Lash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy L. Lash. 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 Timothy L. Lash. The network helps show where Timothy L. Lash may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20252
3 20242
4 20245
5 20241
6 20245
7 20233
8 202318
9 20227
10 20222
11 202112
12 202133
13 20208
14 20207
15 20204
16 20199
17 201628
18 201511
19 20156
20 200797

About Timothy L. Lash

Timothy L. Lash is a scholar working on Statistics and Probability, Oncology, Cancer Research, Statistics, Probability and Uncertainty and Internal Medicine, having authored 348 papers that have together received 15.0k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (48 papers), Estrogen and related hormone effects (44 papers), Breast Cancer Treatment Studies (44 papers), Cancer Risks and Factors (33 papers), Advanced Causal Inference Techniques (32 papers), Health Systems, Economic Evaluations, Quality of Life (25 papers), Statistical Methods in Clinical Trials (21 papers) and Suicide and Self-Harm Studies (18 papers). The work is most often cited by research in Family Practice (546 citations), Statistics and Probability (1.2k citations), Oncology (3.6k citations), Cancer Research (1.9k citations) and Internal Medicine (399 citations). Timothy L. Lash has collaborated with scholars based in United States, Denmark and Sweden. Frequent co-authors include Henrik Toft Sørensen, Rebecca A. Silliman, Kenneth J. Rothman, Matthew P. Fox, Sander Greenland, Aliza K. Fink, Christian Fynbo Christiansen, Deirdre Cronin‐Fenton, Steffen Christensen and Sandra Kruchov Thygesen. Their work appears in journals such as Epidemiology, American Journal of Epidemiology, Breast Cancer Research and Treatment, Acta Oncologica and Cancer.

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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