Chris Gennings

12.9k citations
272 papers · 9.2k indexed · 1 hit paper · h-index 50

Chris Gennings

262 papers receiving 9.0k citations

Hit Papers

Characterization of Weighted Quantile Sum Regression for ...8992014202620182022250500750

Peers

Chris Gennings
Comparison fields: 5 of 192
  • Health, Toxicology and Mutagenesis 4.7k
  • Environmental Chemistry 746
  • Pollution 796
  • Critical Care and Intensive Care Medicine 284
  • Nutrition and Dietetics 789
Replace Bhramar Mukherjee with:
Bhramar Mukherjee United States
Jennifer F. Bobb United States
Pau‐Chung Chen Taiwan
Jack S. Mandel United States
Lars Lind Sweden
Ulf Strömberg Sweden
Amy H. Herring United States
Stephanie J. London United States
Jan A. Staessen Belgium
Ivan Rusyn United States
Chris Gennings relative to Bhramar Mukherjee United States Bhramar Mukherjee's profile →
Citations per field
00.5×1.5×
Bhramar Mukherjee · 1×
Citations per year

Countries citing papers authored by Chris Gennings

Since Specialization
Citations

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

Fields of papers citing papers by Chris Gennings

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris Gennings. 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 Chris Gennings. The network helps show where Chris Gennings may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20242
4 202351
5 202211
6 20229
7 20221
8 202210
9 202049
10 201822
11 201849
12 2017127
13 201732
14 201642
15
Selecting Spatial Scale of Covariates in Regression Models of Environmental Exposures
20151
16 201562
17 200553
18 199726
19 199537
20 199033

About Chris Gennings

Chris Gennings is a scholar working on Health, Toxicology and Mutagenesis, Statistics and Probability and Management Science and Operations Research, having authored 272 papers that have together received 9.2k indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (54 papers), Health, Environment, Cognitive Aging (34 papers), Heavy Metal Exposure and Toxicity (34 papers), Air Quality and Health Impacts (28 papers), Optimal Experimental Design Methods (26 papers), Birth, Development, and Health (21 papers), Toxic Organic Pollutants Impact (19 papers) and Carcinogens and Genotoxicity Assessment (18 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (4.7k citations), Environmental Chemistry (746 citations) and Pollution (796 citations). Chris Gennings has collaborated with scholars based in United States, Mexico and Sweden. Frequent co-authors include David C. Wheeler, Pam Factor‐Litvak, Caroline K. Carrico, Carl‐Gustaf Bornehag, Russ Hauser, Thomas F. Webster, Robert O. Wright, Kevin M. Crofton, Eva M. Tanner and Manish Arora. Their work appears in journals such as Environment International, Journal of Agricultural Biological and Environmental Statistics, Environmental Research, Environmental Health Perspectives and Toxicological Sciences.

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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