Felicia Wu

23.9k total citations · 4 hit papers
116 papers, 7.0k citations indexed

About

Felicia Wu is a scholar working on Plant Science, Health, Toxicology and Mutagenesis and Molecular Biology. According to data from OpenAlex, Felicia Wu has authored 116 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Plant Science, 15 papers in Health, Toxicology and Mutagenesis and 13 papers in Molecular Biology. Recurrent topics in Felicia Wu's work include Mycotoxins in Agriculture and Food (56 papers), Wheat and Barley Genetics and Pathology (32 papers) and Genetically Modified Organisms Research (18 papers). Felicia Wu is often cited by papers focused on Mycotoxins in Agriculture and Food (56 papers), Wheat and Barley Genetics and Pathology (32 papers) and Genetically Modified Organisms Research (18 papers). Felicia Wu collaborates with scholars based in United States, China and Canada. Felicia Wu's co-authors include Yan Liu, John D. Groopman, James J. Pestka, Gordon S. Shephard, Nicole Mitchell, Hasan Güçlü, Chen Chen, Nikita Saha Turna, Gary P. Munkvold and Charles R. Hurburgh and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Felicia Wu

113 papers receiving 6.7k citations

Hit Papers

Global Burden of Aflatoxin-Induced Hepatocellular Carcino... 2010 2026 2015 2020 2010 2014 2011 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Felicia Wu United States 41 4.5k 1.2k 1.1k 733 509 116 7.0k
Yun Yun Gong United Kingdom 55 5.0k 1.1× 1.7k 1.5× 1.4k 1.3× 556 0.8× 1.0k 2.0× 258 10.5k
Yan Li China 46 3.0k 0.7× 2.6k 2.2× 633 0.6× 853 1.2× 246 0.5× 387 8.5k
Pradeep Kumar India 41 3.0k 0.6× 1.8k 1.5× 1.4k 1.2× 448 0.6× 243 0.5× 227 7.6k
José M. Soriano Spain 39 2.8k 0.6× 1.0k 0.9× 1.5k 1.3× 434 0.6× 175 0.3× 234 5.4k
Anil Kumar Sharma India 60 4.7k 1.0× 3.9k 3.4× 907 0.8× 554 0.8× 431 0.8× 833 15.8k
H.J. van der Fels‐Klerx Netherlands 49 2.5k 0.6× 924 0.8× 2.3k 2.0× 340 0.5× 512 1.0× 229 7.6k
Nélson Lima Portugal 47 2.8k 0.6× 1.2k 1.0× 1.0k 0.9× 1.3k 1.8× 754 1.5× 226 6.2k
Carlos Augusto Fernandes de Oliveira Brazil 51 3.8k 0.8× 1.2k 1.0× 3.1k 2.8× 333 0.5× 301 0.6× 306 7.6k
Sanjay Kumar India 55 4.2k 0.9× 5.2k 4.4× 1.2k 1.1× 347 0.5× 261 0.5× 893 13.6k
Bruno De Meulenaer Belgium 56 3.7k 0.8× 1.4k 1.2× 4.0k 3.6× 584 0.8× 541 1.1× 293 10.5k

Countries citing papers authored by Felicia Wu

Since Specialization
Citations

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

Fields of papers citing papers by Felicia Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felicia Wu

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

All Works

20 of 20 papers shown
1.
Gamlath, Charitha J. & Felicia Wu. (2025). AI and Biotechnology to Combat Aflatoxins: Future Directions for Modern Technologies in Reducing Aflatoxin Risk. Toxins. 17(11). 524–524. 1 indexed citations
2.
DiFonzo, Christina, David A. Hennessy, Jinhua Zhao, et al.. (2025). Too much of a good thing: Lessons from compromised rootworm Bt maize in the US Corn Belt. Science. 387(6737). 984–989. 6 indexed citations
3.
Wu, Felicia, et al.. (2025). Assessing causal relationships between lead exposure and non-cancerous health effects through the Bradford Hill Criteria. Critical Reviews in Food Science and Nutrition. 66(11). 2191–2214.
4.
Wu, Felicia, et al.. (2024). Aflatoxin M1 in milk and dairy products: The state of the evidence for child growth impairment. Food and Chemical Toxicology. 193. 115008–115008. 6 indexed citations
5.
Anderson, Nathan, Linda J. Harris, Bradley P. Marks, et al.. (2024). Food Safety Research and Extension Needs for the U.S. Low-Moisture Food Industry. Journal of Food Protection. 87(10). 100358–100358. 3 indexed citations
7.
Wu, Felicia. (2022). Mycotoxin risks are lower in biotech corn. Current Opinion in Biotechnology. 78. 102792–102792. 18 indexed citations
8.
Schaafsma, A. W., et al.. (2020). The Change in Winter Wheat Response to Deoxynivalenol and Fusarium Head Blight Through Technological and Agronomic Progress. Plant Disease. 105(4). 840–850. 6 indexed citations
9.
Ogunade, Ibukun M, O.C.M. Queiroz, Yun Jiang, et al.. (2018). Silage review: Mycotoxins in silage: Occurrence, effects, prevention, and mitigation. Journal of Dairy Science. 101(5). 4034–4059. 184 indexed citations
10.
Chen, Chen & Felicia Wu. (2017). The need to revisit ochratoxin A risk in light of diabetes, obesity, and chronic kidney disease prevalence. Food and Chemical Toxicology. 103. 79–85. 20 indexed citations
11.
Mitchell, Nicole, Ram K. Chandyo, Binob Shrestha, et al.. (2017). Aflatoxin exposure during the first 36 months of life was not associated with impaired growth in Nepalese children: An extension of the MAL-ED study. PLoS ONE. 12(2). e0172124–e0172124. 48 indexed citations
12.
Wu, Felicia, John E. Linz, Muraleedharan G. Nair, et al.. (2017). Aflatoxin levels in sunflower seeds and cakes collected from micro- and small-scale sunflower oil processors in Tanzania. PLoS ONE. 12(4). e0175801–e0175801. 37 indexed citations
13.
Wu, Wenda, et al.. (2016). Modeling the emetic potencies of food-borne trichothecenes by benchmark dose methodology. Food and Chemical Toxicology. 94. 178–185. 10 indexed citations
14.
Wu, Felicia, et al.. (2014). Ochratoxin A and Human Health Risk: A Review of the Evidence. Critical Reviews in Food Science and Nutrition. 55(13). 1860–1869. 287 indexed citations
15.
Wu, Felicia. (2014). Perspective: Time to face the fungal threat. Nature. 516(7529). S7–S7. 57 indexed citations
16.
Palliyaguru, Dushani L. & Felicia Wu. (2012). Global geographical overlap of aflatoxin and hepatitis C: controlling risk factors for liver cancer worldwide. Food Additives & Contaminants Part A. 30(3). 534–540. 29 indexed citations
17.
Wu, Felicia, et al.. (2010). Evaluating the technical feasibility of aflatoxin risk reduction strategies in Africa. Food Additives & Contaminants Part A. 27(5). 658–676. 43 indexed citations
18.
Wu, Felicia, et al.. (2010). Costs and efficacy of public health interventions to reduce aflatoxin-induced human disease. Food Additives & Contaminants Part A. 27(7). 998–1014. 75 indexed citations
19.
Wu, Felicia, J. David Miller, & Elizabeth A. Casman. (2004). The Economic Impact of Bt Corn Resulting from Mycotoxin Reduction. Journal of Toxicology Toxin Reviews. 23(2-3). 397–424. 44 indexed citations
20.
Wu, Felicia. (2004). Explaining Public Resistance to Genetically Modified Corn: An Analysis of the Distribution of Benefits and Risks. Risk Analysis. 24(3). 715–726. 25 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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