Phillip E. Heck

570 total citations · 1 hit paper
8 papers, 410 citations indexed

About

Phillip E. Heck is a scholar working on Pollution, Plant Science and Industrial and Manufacturing Engineering. According to data from OpenAlex, Phillip E. Heck has authored 8 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pollution, 3 papers in Plant Science and 2 papers in Industrial and Manufacturing Engineering. Recurrent topics in Phillip E. Heck's work include Enzyme-mediated dye degradation (3 papers), Wastewater Treatment and Nitrogen Removal (2 papers) and Biochemical and biochemical processes (2 papers). Phillip E. Heck is often cited by papers focused on Enzyme-mediated dye degradation (3 papers), Wastewater Treatment and Nitrogen Removal (2 papers) and Biochemical and biochemical processes (2 papers). Phillip E. Heck collaborates with scholars based in United States. Phillip E. Heck's co-authors include Michael D. Aitken, Ian J. Massey, Yue Zhang, Jennifer Weidhaas, James VanDerslice, Rubayat Jamal, Nathan LaCross, Zachary T. Aanderud, Kevin T. Torgersen and D. Keith Roper and has published in prestigious journals such as The Science of The Total Environment, Water Research and Environmental Toxicology and Chemistry.

In The Last Decade

Phillip E. Heck

8 papers receiving 392 citations

Hit Papers

Correlation of SARS-CoV-2 RNA in wastewater with COVID-19... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Phillip E. Heck United States 5 225 169 99 62 50 8 410
Subir Kundu India 13 37 0.2× 160 0.9× 19 0.2× 188 3.0× 17 0.3× 38 437
Mary Eleftheriadou Cyprus 8 43 0.2× 152 0.9× 8 0.1× 56 0.9× 22 0.4× 8 390
Hyun‐Ju Um South Korea 11 22 0.1× 220 1.3× 39 0.4× 299 4.8× 21 0.4× 21 427
Trevor S. Marks United Kingdom 8 62 0.3× 82 0.5× 27 0.3× 176 2.8× 209 4.2× 13 471
Elda A. Flores-Contreras Mexico 13 34 0.2× 94 0.6× 52 0.5× 77 1.2× 35 0.7× 26 328
Yangyang Dong China 10 30 0.1× 35 0.2× 23 0.2× 132 2.1× 44 0.9× 17 374
Katharina Hoenes Germany 11 37 0.2× 142 0.8× 11 0.1× 89 1.4× 10 0.2× 23 387
Soo-Ji Kim South Korea 5 32 0.1× 155 0.9× 32 0.3× 46 0.7× 7 0.1× 8 410
Song Zhu China 12 23 0.1× 154 0.9× 19 0.2× 74 1.2× 68 1.4× 23 411
Doris Yoong Wen Di United States 9 78 0.3× 116 0.7× 8 0.1× 108 1.7× 224 4.5× 14 477

Countries citing papers authored by Phillip E. Heck

Since Specialization
Citations

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

Fields of papers citing papers by Phillip E. Heck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phillip E. Heck

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

All Works

8 of 8 papers shown
1.
Weidhaas, Jennifer, Zachary T. Aanderud, D. Keith Roper, et al.. (2021). Correlation of SARS-CoV-2 RNA in wastewater with COVID-19 disease burden in sewersheds. The Science of The Total Environment. 775. 145790–145790. 237 indexed citations breakdown →
2.
Aitken, Michael D. & Phillip E. Heck. (1998). Turnover Capacity of Coprinus cinereus Peroxidase for Phenol and Monosubstituted Phenols. Biotechnology Progress. 14(3). 487–492. 45 indexed citations
3.
Aitken, Michael D., et al.. (1994). Characterization of reaction products from the enzyme catalyzed oxidation of phenolic pollutants. Water Research. 28(9). 1879–1889. 95 indexed citations
4.
Massey, Ian J., Michael D. Aitken, Louise M. Ball, & Phillip E. Heck. (1994). Mutagenicity screening of reaction products from the enzyme-catalyzed oxidation of phenolic pollutants. Environmental Toxicology and Chemistry. 13(11). 1743–1752. 19 indexed citations
5.
Aitken, Michael D., Phillip E. Heck, Lisa Alvarez‐Cohen, Stefan Grimberg, & William T. Stringfellow. (1993). Activated sludge. Water Environment Research. 65(4). 324–336. 1 indexed citations
6.
Heck, Phillip E., Ian J. Massey, & Michael D. Aitken. (1992). Toxicity of Reaction Products from Enzymatic Oxidation of Phenolic Pollutants. Water Science & Technology. 26(9-11). 2369–2371. 10 indexed citations
7.
Aitken, Michael D., Phillip E. Heck, Richard O. Mines, & Joseph H. Sherrard. (1992). Activated sludge. Water Environment Research. 64(4). 347–359. 1 indexed citations
8.
Randtke, Stephen J., et al.. (1985). A Critical Assessment of the Influence of Management Practices on Water Quality, Water Treatment, and Sport Fishing in Multipurpose Reservoirs in Kansas. KU ScholarWorks (The University of Kansas). 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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