Hannah Wu

18 papers receiving 279 citations

Peers

Hannah Wu
Comparison fields: 5 of 50
  • Parasitology 160
  • Hepatology 31
  • Hematology 41
  • Pediatrics, Perinatology and Child Health 50
  • Small Animals 19
Replace Hannah M Coutinho with:
Hannah M Coutinho United States
Laura J. Appleby United Kingdom
Guo Wu China
J. A. Lenzi Brazil
Chi-Ling Fu United States
Charles M. Noyer United States
Tobias Brummaier Thailand
Omar Lweno Tanzania
Izabela Voieta Brazil
Britta Swai Tanzania
Hannah Wu relative to Hannah M Coutinho United States Hannah M Coutinho's profile →
Citations per field
00.5×4.4×
Hannah M Coutinho · 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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200666
2 201564
3 201634
4 201926
5 201917
6 201714
7 201814
8 202112
9 202112
10 20235
11 20234
12 20213
13 20233
14 20212
15 20182
16 20212
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 20240
20 20250

About Hannah Wu

Hannah Wu is a scholar working on Parasitology, Ecology, Public Health, Environmental and Occupational Health, Nutrition and Dietetics and Pediatrics, Perinatology and Child Health, having authored 23 papers that have together received 282 indexed citations. Recurring topics across this work include Parasites and Host Interactions (18 papers), Parasite Biology and Host Interactions (4 papers), Child Nutrition and Water Access (3 papers), Iron Metabolism and Disorders (3 papers), Liver Disease and Transplantation (2 papers), Global Maternal and Child Health (2 papers), Research on Leishmaniasis Studies (2 papers) and Liver Diseases and Immunity (1 paper). The work is most often cited by research in Parasitology (160 citations), Hepatology (31 citations), Hematology (41 citations), Pediatrics, Perinatology and Child Health (50 citations) and Small Animals (19 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, Veronica Tallo, Emily A. McDonald, Blanca Jarilla, Jonathan D. Kurtis and Hannah M Coutinho. Their work appears in journals such as PLoS neglected tropical diseases, The Journal of Infectious Diseases, Transactions of the Royal Society of Tropical Medicine and Hygiene, Pediatric Research and The Lancet Global 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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