John Molitor
Impact in
-
- Air Quality and Health Impacts
- Climate Change and Health Impacts
- Statistics and Probability top 1%
- Markov Chains and Monte Carlo Methods
Papers in ⓘ
-
- Air Quality and Health Impacts 25
- Climate Change and Health Impacts 20
-
- Urban Transport and Accessibility 5
- Co-authors
- Paul Marjoram (10 shared papers)Vincent Plagnol (1 shared paper)Simon Tavaré (1 shared paper)E. Andrés Houseman (1 shared paper)Carmen J. Marsit (1 shared paper)Michael Jerrett (12 shared papers)Duncan C. Thomas (8 shared papers)Sylvia Richardson (5 shared papers)
- Journals
- Environment International (6 papers)Environmental Health Perspectives (4 papers)Environmental Research (4 papers)JAMA Network Open (3 papers)Human Heredity (2 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
John Molitor
56 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Health, Toxicology and Mutagenesis 894
- Statistics and Probability 419
- Speech and Hearing 236
- Aging 58
- Genetics 692
Countries citing papers authored by John Molitor
This map shows the geographic impact of John Molitor'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 Molitor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Molitor more than expected).
Fields of papers citing papers by John Molitor
This network shows the impact of papers produced by John Molitor. 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 Molitor. The network helps show where John Molitor may publish in the future.
Co-authors
The 25 scholars most cited alongside John Molitor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Markov chain Monte Carlo without likelihoods Hit paper breakdown → | 2003 | 709 |
| 2 | 2005 | 343 | |
| 3 | 2014 | 304 | |
| 4 | 2008 | 255 | |
| 5 | 2010 | 116 | |
| 6 | 2004 | 76 | |
| 7 | 2020 | 72 | |
| 8 | 2003 | 71 | |
| 9 | 2021 | 67 | |
| 10 | 2016 | 62 | |
| 11 | 2013 | 62 | |
| 12 | 2015 | 62 | |
| 13 | 2003 | 58 | |
| 14 | 2008 | 57 | |
| 15 | 2004 | 56 | |
| 16 | 2011 | 52 | |
| 17 | 2007 | 48 | |
| 18 | 2017 | 46 | |
| 19 | 2010 | 43 | |
| 20 | 2003 | 35 |
About John Molitor
John Molitor is a scholar working on Health, Toxicology and Mutagenesis, Transportation, Speech and Hearing, Aging and Statistics and Probability, having authored 59 papers that have together received 3.1k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (25 papers), Climate Change and Health Impacts (20 papers), Genetic Associations and Epidemiology (7 papers), Bayesian Methods and Mixture Models (6 papers), Urban Transport and Accessibility (5 papers), Noise Effects and Management (5 papers), Genetic and phenotypic traits in livestock (4 papers) and Energy and Environment Impacts (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (894 citations), Statistics and Probability (419 citations), Speech and Hearing (236 citations), Aging (58 citations) and Genetics (692 citations). John Molitor has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Paul Marjoram, Vincent Plagnol, Simon Tavaré, E. Andrés Houseman, Carmen J. Marsit, Michael Jerrett, Duncan C. Thomas, Sylvia Richardson, Michail Papathomas and Keyan Zhao. Their work appears in journals such as Environment International, Environmental Health Perspectives, Environmental Research, JAMA Network Open and Human Heredity.
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.