Alexander P. Keil
- Health, Toxicology and Mutagenesis top 0.5%
- Air Quality and Health Impacts 29
- Effects and risks of endocrine disrupting chemicals 25
- Health, Environment, Cognitive Aging 13
- Heavy Metal Exposure and Toxicity 10
- Environmental Chemistry top 2%
- Statistics and Probability top 2%
- Advanced Causal Inference Techniques 26
- Statistical Methods and Bayesian Inference 14
- Obstetrics and Gynecology top 5%
- Pollution top 5%
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- Birth, Development, and Health 19
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- Health Systems, Economic Evaluations, Quality of Life 15
- Co-authors
- Jessie P. BuckleyKelly K. FergusonAlexandra J. WhiteKatie M. O’BrienShanshan ZhaoDavid B. RichardsonJessie K. EdwardsJulie L. Daniels
- Partner nations
- United StatesCanadaNorway
In The Last Decade
Alexander P. Keil
127 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Health, Toxicology and Mutagenesis 1.9k
- Environmental Chemistry 337
- Statistics and Probability 229
- Obstetrics and Gynecology 181
- Pollution 261
Countries citing papers authored by Alexander P. Keil
This map shows the geographic impact of Alexander P. Keil'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 Alexander P. Keil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander P. Keil more than expected).
Fields of papers citing papers by Alexander P. Keil
This network shows the impact of papers produced by Alexander P. Keil. 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 Alexander P. Keil. The network helps show where Alexander P. Keil may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alexander P. Keil, 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 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 13 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 0 | |
| 10 | 2022 | 12 | |
| 11 | 2022 | 4 | |
| 12 | 2022 | 18 | |
| 13 | 2022 | 0 | |
| 14 | 2021 | 15 | |
| 15 | 2020 | 21 | |
| 16 | A Quantile-Based g-Computation Approach to Addressing the Effects of Exposure Mixturesbreakdown → | 2020 | 1062 |
| 17 | 2019 | 3 | |
| 18 | 2018 | 5 | |
| 19 | 2018 | 11 | |
| 20 | 2017 | 14 |
About Alexander P. Keil
Alexander P. Keil is a scholar working on Health, Toxicology and Mutagenesis, Statistics and Probability and Radiological and Ultrasound Technology, having authored 140 papers that have together received 3.4k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (29 papers), Advanced Causal Inference Techniques (26 papers), Effects and risks of endocrine disrupting chemicals (25 papers), Birth, Development, and Health (19 papers), Health Systems, Economic Evaluations, Quality of Life (15 papers), Statistical Methods and Bayesian Inference (14 papers), Health, Environment, Cognitive Aging (13 papers) and Heavy Metal Exposure and Toxicity (10 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.9k citations), Environmental Chemistry (337 citations) and Statistics and Probability (229 citations). Alexander P. Keil has collaborated with scholars based in United States, Canada and Norway. Frequent co-authors include Jessie P. Buckley, Kelly K. Ferguson, Alexandra J. White, Katie M. O’Brien, Shanshan Zhao, David B. Richardson, Jessie K. Edwards, Julie L. Daniels, Stephanie M. Engel and Brett T. Doherty. Their work appears in journals such as Circulation, Environmental Science & Technology and PLoS ONE.
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.