Guo Wu

17 papers receiving 355 citations

Peers

Guo Wu
Comparison fields: 5 of 69
  • Parasitology 216
  • Small Animals 32
  • Pediatrics, Perinatology and Child Health 60
  • Nutrition and Dietetics 49
  • Ecology 75
Replace Hannah M Coutinho with:
Hannah M Coutinho United States
Likit Matrakool Thailand
Mohamed Shehata Egypt
Hannah Wu United States
Izabela Voieta Brazil
Josefo Ferro Mozambique
Young‐Hee Ju South Korea
Britta Swai Tanzania
Marianne Luyendijk Netherlands
Katrin Frenzel Germany
Guo Wu relative to Hannah M Coutinho United States Hannah M Coutinho's profile →
Citations per field
00.5×3.7×
Hannah M Coutinho · 1×
Citations per year

Countries citing papers authored by Guo Wu

Since Specialization
Citations

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

Fields of papers citing papers by Guo Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1999117
2 199990
3 202160
4 202021
5 201120
6 202413
7 201712
8 200211
9 20037
10 20035
11 19955
12 20164
13 20083
14 20242
15 20231
16 20231
17
[Studies on human cytokine responses before and after praziquantel chemotherapy in an endemic area of schistosomiasis japonica].
20001
18
[Effect of abnormal lipid metabolism on immune microenvironment in tumors].
20210

About Guo Wu

Guo Wu is a scholar working on Parasitology, Ecology, Public Health, Environmental and Occupational Health, Nutrition and Dietetics and Immunology, having authored 18 papers that have together received 373 indexed citations. Recurring topics across this work include Parasites and Host Interactions (9 papers), Parasite Biology and Host Interactions (5 papers), Research on Leishmaniasis Studies (4 papers), Child Nutrition and Water Access (2 papers), Inflammasome and immune disorders (2 papers), Immune cells in cancer (2 papers), Vitamin K Research Studies (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Parasitology (216 citations), Small Animals (32 citations), Pediatrics, Perinatology and Child Health (60 citations), Nutrition and Dietetics (49 citations) and Ecology (75 citations). Guo Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include G R Olds, Stephen T. McGarvey, Lisa H. Shiue, Hongxun Wu, Catherine Nokes, Donald A. P. Bundy, Pierre Peters, Xiaoliang Huang, Haiquan Qin and Haizhou Liu. Their work appears in journals such as Parasite Immunology, Cellular Immunology, Clinical & Experimental Immunology, Review of Scientific Instruments and American Journal of Tropical Medicine and Hygiene.

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.

Explore authors with similar magnitude of impact