Hannah Wu

18 papers receiving 272 citations

Peers

Hannah Wu
Comparison fields: 5 of 56
  • Parasitology 163
  • Hepatology 36
  • Nutrition and Dietetics 66
  • Pediatrics, Perinatology and Child Health 81
  • Hematology 44
Replace J. A. Lenzi with:
J. A. Lenzi Brazil
Tobias Brummaier Thailand
Guo Wu China
Wabyahe L. M. Malenganisho Tanzania
Kinjalka Ghosh India
Andrew Pascoe Australia
A. I. O. Williams Nigeria
Maggie McCarthy United States
Feridun Akkafa Türkiye
Mayumi Morizane Japan
Hannah Wu relative to J. A. Lenzi Brazil J. A. Lenzi's profile →
Citations per field
00.5×6.2×
J. A. Lenzi · 1×
Citations per year

Countries citing papers authored by Hannah Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hannah Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200666
2 201563
3 201634
4 201926
5 201915
6 201714
7 201814
8 202112
9 202111
10 20234
11 20233
12 20233
13 20212
14 20212
15 20212
16 20182
17 20241
18
Iconographies supplémentaires de l'article : Efficacy and safety of praziquantel for the treatment of human schistosomiasis during pregnancy: a phase 2, randomised, double-blind, placebo-controlled trial
20161
19 20250
20 20250

About Hannah Wu

Hannah Wu is a scholar working on Parasitology, Nutrition and Dietetics, Pediatrics, Perinatology and Child Health, Ecology and Public Health, Environmental and Occupational Health, having authored 21 papers that have together received 275 indexed citations. Recurring topics across this work include Parasites and Host Interactions (17 papers), Child Nutrition and Water Access (8 papers), Global Maternal and Child Health (7 papers), Parasite Biology and Host Interactions (4 papers), Iron Metabolism and Disorders (3 papers), Hemoglobinopathies and Related Disorders (2 papers), Global Health Workforce Issues (2 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Parasitology (163 citations), Hepatology (36 citations), Nutrition and Dietetics (66 citations), Pediatrics, Perinatology and Child Health (81 citations) and Hematology (44 citations). Hannah Wu has collaborated with scholars based in United States, Philippines and United Kingdom. Frequent co-authors include Jennifer F. Friedman, Remigio M. Olveda, Luz P. Acosta, Jonathan D. Kurtis, Mario Jiz, Emily A. McDonald, Veronica Tallo, Blanca Jarilla, Li Su and Hannah M Coutinho. Their work appears in journals such as PLoS neglected tropical diseases, The Journal of Infectious Diseases, Clinical Infectious Diseases, Scientific Reports and Vaccine.

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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