Scott L. Zeger

75.5k citations
344 papers · 55.9k indexed · 16 hit papers · h-index 83

Scott L. Zeger

326 papers receiving 53.4k citations

Hit Papers

Longitudinal data analysis using generalized linear models1986202619992012198619861988200220064.0k8.0k12.0k

Peers

Scott L. Zeger
Comparison fields: 5 of 233
  • Health, Toxicology and Mutagenesis 10.7k
  • Statistics and Probability 10.2k
  • General Health Professions 5.9k
  • Economics and Econometrics 5.0k
  • Epidemiology 5.0k
Replace John P. A. Ioannidis with:
John P. A. Ioannidis United States
Julian P. T. Higgins United Kingdom
James H. Ware United States
Ralph B. D’Agostino United States
George Davey Smith United Kingdom
Nan M. Laird United States
Sander Greenland United States
Walter C. Willett United States
Keith E. Muller United States
Jennifer Tetzlaff Canada
Scott L. Zeger relative to John P. A. Ioannidis United States John P. A. Ioannidis's profile →
Citations per field
00.5×2.8×
John P. A. Ioannidis · 1×
Citations per year

Countries citing papers authored by Scott L. Zeger

Since Specialization
Citations

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

Fields of papers citing papers by Scott L. Zeger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott L. Zeger

This figure shows the co-authorship network connecting the top 25 collaborators of Scott L. Zeger. A scholar is included among the top collaborators of Scott L. Zeger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Scott L. Zeger. Scott L. Zeger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 0
4 15
5 5
6 1
7 17
8 7
9 2
10 5
11 39
12 4
13 5
14 19
15 2
16
It's no longer a pipeline problem, so what are the root causes?
4
17
So Few Women Leaders.
22
18 286
19 66
20 7

About Scott L. Zeger

Scott L. Zeger is a scholar working on Statistics and Probability, Health, Toxicology and Mutagenesis and Emergency Medicine, having authored 344 papers that have together received 55.9k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (49 papers), Statistical Methods and Bayesian Inference (47 papers) and Statistical Methods and Inference (31 papers). The work is most often cited by research in Statistics and Probability (10.2k citations), Health, Toxicology and Mutagenesis (10.7k citations) and Geriatrics and Gerontology (1.3k citations). Scott L. Zeger has collaborated with scholars based in United States, United Kingdom and Nepal. Frequent co-authors include Kung‐Yee Liang, Kung‐Yee Liang, Peter J. Diggle, Francesca Dominici, Paul S. Albert, Jonathan M. Samet, Patrick J. Heagerty, Roger D. Peng, Jonathan M. Samet and Michelle L. Bell. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026