Philip E. Goodrum

680 total citations
18 papers, 465 citations indexed

About

Philip E. Goodrum is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Environmental Chemistry. According to data from OpenAlex, Philip E. Goodrum has authored 18 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Health, Toxicology and Mutagenesis, 6 papers in Pollution and 6 papers in Environmental Chemistry. Recurrent topics in Philip E. Goodrum's work include Toxic Organic Pollutants Impact (7 papers), Per- and polyfluoroalkyl substances research (6 papers) and Air Quality and Health Impacts (5 papers). Philip E. Goodrum is often cited by papers focused on Toxic Organic Pollutants Impact (7 papers), Per- and polyfluoroalkyl substances research (6 papers) and Air Quality and Health Impacts (5 papers). Philip E. Goodrum collaborates with scholars based in United States, Mexico and India. Philip E. Goodrum's co-authors include Gary Diamond, Janet K. Anderson, Anthony L. Luz, James M. Hassett, Susan P. Felter, Harlal Choudhury, William Stiteler, David L. Johnson, Susan Griffin and William M. Meylan and has published in prestigious journals such as Toxicological Sciences, Risk Analysis and Critical Reviews in Toxicology.

In The Last Decade

Philip E. Goodrum

18 papers receiving 439 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Philip E. Goodrum United States 11 329 173 155 66 50 18 465
H. Kahelin Finland 6 254 0.8× 253 1.5× 124 0.8× 21 0.3× 29 0.6× 8 399
Ann Colles Belgium 18 827 2.5× 291 1.7× 129 0.8× 66 1.0× 24 0.5× 40 1.0k
Bert Morrens Belgium 18 655 2.0× 240 1.4× 121 0.8× 43 0.7× 25 0.5× 32 815
Seung Do Yu South Korea 12 362 1.1× 136 0.8× 107 0.7× 55 0.8× 20 0.4× 29 518
Jeerawan Promvijit Thailand 8 327 1.0× 73 0.4× 63 0.4× 32 0.5× 32 0.6× 9 435
Anne Steenhout Belgium 9 286 0.9× 35 0.2× 209 1.3× 17 0.3× 22 0.4× 49 447
Hanne Line Daae Norway 14 457 1.4× 98 0.6× 77 0.5× 51 0.8× 57 1.1× 27 575
Choong-Hee Park South Korea 17 590 1.8× 44 0.3× 162 1.0× 43 0.7× 104 2.1× 36 760
Julien Caboche France 5 434 1.3× 137 0.8× 439 2.8× 13 0.2× 20 0.4× 7 590
Manuel Aguilar-Villalobos United States 14 494 1.5× 137 0.8× 229 1.5× 67 1.0× 37 0.7× 23 665

Countries citing papers authored by Philip E. Goodrum

Since Specialization
Citations

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

Fields of papers citing papers by Philip E. Goodrum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip E. Goodrum. 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 Philip E. Goodrum. The network helps show where Philip E. Goodrum may publish in the future.

Co-authorship network of co-authors of Philip E. Goodrum

This figure shows the co-authorship network connecting the top 25 collaborators of Philip E. Goodrum. A scholar is included among the top collaborators of Philip E. Goodrum 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 Philip E. Goodrum. Philip E. Goodrum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Anderson, Janet K., Philip E. Goodrum, Louis Anthony Cox, et al.. (2023). Weight of evidence evaluation for chemical-induced immunotoxicity for PFOA and PFOS: findings from an independent panel of experts. Critical Reviews in Toxicology. 53(1). 34–51. 14 indexed citations
3.
Goodrum, Philip E., et al.. (2020). Application of a Framework for Grouping and Mixtures Toxicity Assessment of PFAS: A Closer Examination of Dose-Additivity Approaches. Toxicological Sciences. 179(2). 262–278. 66 indexed citations
4.
Luz, Anthony L., et al.. (2019). Perfluorohexanoic acid toxicity, part I: Development of a chronic human health toxicity value for use in risk assessment. Regulatory Toxicology and Pharmacology. 103. 41–55. 52 indexed citations
5.
Anderson, Janet K., et al.. (2019). Perfluorohexanoic acid toxicity, part II: Application of human health toxicity value for risk characterization. Regulatory Toxicology and Pharmacology. 103. 10–20. 40 indexed citations
6.
Iwai, Hiroyuki, Alan M. Hoberman, Philip E. Goodrum, Emma Mendelsohn, & Janet K. Anderson. (2019). Addendum to Iwai and Hoberman (2014)—Reassessment of Developmental Toxicity of PFHxA in Mice. International Journal of Toxicology. 38(3). 183–191. 6 indexed citations
7.
Goodrum, Philip E., et al.. (2017). THE DOSE-RESPONSE HILL SLOPE USED IN THE AQUATIC TOXICITY MODULE OF OIL SPILL MODELS SHOULD BE MUCH STEEPER. International Oil Spill Conference Proceedings. 2017(1). 940–958. 1 indexed citations
8.
Maddaloni, Mark, et al.. (2005). Assessing Lead Risks at Non-Residential Hazardous Waste Sites. Human and Ecological Risk Assessment An International Journal. 11(5). 967–1003. 9 indexed citations
9.
Henry, Linda, et al.. (2005). Identifying Technologies and Communicating the Benefits and Risks of Disinfecting Wet Weather Flows. Proceedings of the Water Environment Federation. 2005(1). 351–375. 1 indexed citations
10.
Griffith, Daniel A., et al.. (2003). Application of Geostatistics to Risk Assessment. Risk Analysis. 23(5). 945–960. 21 indexed citations
11.
Choudhury, Harlal, et al.. (2001). URINARY CADMIUM ELIMINATION AS A BIOMARKER OF EXPOSURE FOR EVALUATING A CADMIUM DIETARY EXPOSURE - BIOKINETICS MODEL. Journal of Toxicology and Environmental Health. 63(5). 321–350. 105 indexed citations
12.
Griffin, Susan, Philip E. Goodrum, Gary Diamond, et al.. (1999). Application of a Probabilistic Risk Assessment Methodology to a Lead Smelter Site. Human and Ecological Risk Assessment An International Journal. 5(4). 845–868. 4 indexed citations
13.
Griffin, Susan, Philip E. Goodrum, Gary Diamond, et al.. (1999). Application of a Probabilistic Risk Assessment Methodology to a Lead Smelter Site. Human and Ecological Risk Assessment An International Journal. 5(4). 845–868. 18 indexed citations
14.
Diamond, Gary, et al.. (1998). Gastrointestinal Absorption of Metals. Drug and Chemical Toxicology. 21(2). 223–251. 27 indexed citations
15.
Diamond, Gary, et al.. (1997). Gastrointestinal Absorption of Metals. Drug and Chemical Toxicology. 20(4). 345–368. 51 indexed citations
16.
Price, Paul S., et al.. (1996). Monte Carlo Modeling of Time‐Dependent Exposures Using a Microexposure Event Approach. Risk Analysis. 16(3). 339–348. 25 indexed citations
17.
Goodrum, Philip E., Gary Diamond, James M. Hassett, & David L. Johnson. (1996). Monte Carlo modeling of childhood lead exposure: Development of a probabilistic methodology for use with the Usepa Ieubk model for lead in children. Human and Ecological Risk Assessment An International Journal. 2(4). 681–708. 15 indexed citations
18.
Price, Paul S., et al.. (1995). Monte Carlo Modeling of Time-Dependent Exposures Using a Microexposure Event Approach. Risk Analysis. 16(3). 339–348. 2 indexed citations

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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