Danielle C. Westerman

691 citations
14 papers · 541 · h-index 11

Impact in

Papers in

Danielle C. Westerman

14 papers receiving 537 citations

Peers

Danielle C. Westerman
Comparison fields: 5 of 74
  • Health, Toxicology and Mutagenesis 259
  • Water Science and Technology 221
  • Pollution 155
  • Environmental Chemistry 118
  • Industrial and Manufacturing Engineering 74
Replace Camilla Di Marcantonio with:
Camilla Di Marcantonio Italy
Jenny E. Zenobio United States
Kiranmayi Mangalgiri United States
Wilhelm Gebhardt Germany
Heon-Jun Lee South Korea
Glen Andrew de Vera United States
Gabriela Castro Spain
Jean-Philippe Croué Saudi Arabia
Kristin H. Cochran United States
Alessandro Frugis Italy
Danielle C. Westerman relative to Camilla Di Marcantonio Italy Camilla Di Marcantonio's profile →
Citations per field
00.5×3.5×
Camilla Di Marcantonio · 1×
Citations per year

Countries citing papers authored by Danielle C. Westerman

Since Specialization
Citations

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

Fields of papers citing papers by Danielle C. Westerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle C. Westerman. 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 Danielle C. Westerman. The network helps show where Danielle C. Westerman may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2018171
2 202089
3 202365
4 202246
5 201937
6 202331
7 202026
8 202019
9 201917
10 202313
11 201910
12 20229
13 20236
14 20222

About Danielle C. Westerman

Danielle C. Westerman is a scholar working on Health, Toxicology and Mutagenesis, Environmental Chemistry, Water Science and Technology, Pollution and Atmospheric Science, having authored 14 papers that have together received 541 indexed citations. Recurring topics across this work include Water Treatment and Disinfection (10 papers), Advanced oxidation water treatment (4 papers), Atmospheric chemistry and aerosols (3 papers), Pharmaceutical and Antibiotic Environmental Impacts (3 papers), Toxic Organic Pollutants Impact (3 papers), Wastewater Treatment and Reuse (2 papers), Per- and polyfluoroalkyl substances research (2 papers) and Environmental Chemistry and Analysis (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (259 citations), Water Science and Technology (221 citations), Pollution (155 citations), Environmental Chemistry (118 citations) and Industrial and Manufacturing Engineering (74 citations). Danielle C. Westerman has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Susan D. Richardson, Kristin H. Cochran, Daniel Schlenk, Dionysios D. Dionysiou, Ying Huang, Scott Coffin, Minghao Kong, Elvis Genbo Xu, Yiqing Liu and Ying Zhang. Their work appears in journals such as Environmental Science & Technology, Water Research, Harmful Algae, The Science of The Total Environment and Environmental Science Water Research & Technology.

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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