Nerissa Wu

879 citations
14 papers · 718 · h-index 10

Impact in

Papers in

Nerissa Wu

13 papers receiving 694 citations

Peers

Nerissa Wu
Comparison fields: 5 of 87
  • Health, Toxicology and Mutagenesis 540
  • Occupational Therapy 46
  • Cancer Research 108
  • Pollution 82
  • Environmental Chemistry 58
Replace Michael Lewin with:
Michael Lewin United States
David Cleverly United States
Jessica L. Levasseur United States
Colleen M. Makey United States
Julia O. Udesky United States
А. А. Shelepchikov Russia
Tadeusz Hałatek Poland
Wangzhen Zhang China
J.C. Remmers United States
Jessilynn Taylor
Nerissa Wu relative to Michael Lewin United States Michael Lewin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nerissa Wu

Since Specialization
Citations

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

Fields of papers citing papers by Nerissa Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2007398
2 201282
3 201565
4 202040
5 201234
6 200931
7 201622
8 201213
9 200113
10
Reducing Pathogen and Vector Attraction for Biosolids
19999
11 20257
12 20003
13 20251
14 20260

About Nerissa Wu

Nerissa Wu is a scholar working on Health, Toxicology and Mutagenesis, Environmental Chemistry, Occupational Therapy, Pediatrics, Perinatology and Child Health and Process Chemistry and Technology, having authored 14 papers that have together received 718 indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (5 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Air Quality and Health Impacts (4 papers), Per- and polyfluoroalkyl substances research (3 papers), Prenatal Screening and Diagnostics (2 papers), Occupational Health and Performance (2 papers), Atmospheric chemistry and aerosols (1 paper) and Indoor Air Quality and Microbial Exposure (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (540 citations), Occupational Therapy (46 citations), Cancer Research (108 citations), Pollution (82 citations) and Environmental Chemistry (58 citations). Nerissa Wu has collaborated with scholars based in United States, United Kingdom and Egypt. Frequent co-authors include Thomas F. Webster, Michael D. McClean, Robert C. Hale, Thomas Herrmann, Ellen Harvey, Mark J. La Guardia, Olaf Paepke, Joel Tickner, Jefferson Fowles and Mohamed Abou‐Elwafa Abdallah. Their work appears in journals such as Environmental Science & Technology, Compost Science & Utilization, Exposure and Health, Prenatal Diagnosis and International Journal of Environmental Research and Public Health.

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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