Jing Xia

1.8k citations
54 papers · 652 · h-index 14

Impact in

Papers in

Jing Xia

52 papers receiving 644 citations

Peers

Jing Xia
Comparison fields: 5 of 116
  • Parasitology 167
  • Public Health, Environmental and Occupational Health 221
  • Genetics 71
  • Rehabilitation 42
  • Infectious Diseases 94
Replace Ross Harley with:
Ross Harley United Kingdom
Rasool Jafari Iran
Virginia Pierce United States
M S Sridhar India
Maria Teresa Antognoni Italy
Pedro J. Ginel Spain
Andy O. Miller United States
James Di Canzio United States
Maria Kritsepi‐Konstantinou Greece
Brenda Govan Australia
Jing Xia relative to Ross Harley United Kingdom Ross Harley's profile →
Citations per field
00.5×8.4×
Ross Harley · 1×
Citations per year

Countries citing papers authored by Jing Xia

Since Specialization
Citations

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

Fields of papers citing papers by Jing Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008100
2 201553
3 201949
4 201547
5 201945
6 202124
7 201423
8 202121
9 201921
10 201820
11 201719
12 201616
13 201814
14 202114
15 202013
16 202013
17 201912
18 201112
19 202211
20 201710

About Jing Xia

Jing Xia is a scholar working on Parasitology, Public Health, Environmental and Occupational Health, Epidemiology, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 54 papers that have together received 652 indexed citations. Recurring topics across this work include Malaria Research and Control (11 papers), Mosquito-borne diseases and control (11 papers), Toxoplasma gondii Research Studies (10 papers), Parasites and Host Interactions (9 papers), Zoonotic diseases and public health (6 papers), Cytomegalovirus and herpesvirus research (6 papers), Global Maternal and Child Health (5 papers) and Metallurgy and Material Forming (5 papers). The work is most often cited by research in Parasitology (167 citations), Public Health, Environmental and Occupational Health (221 citations), Genetics (71 citations), Rehabilitation (42 citations) and Infectious Diseases (94 citations). Jing Xia has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Hong‐Juan Peng, Feng Lu, Yunfan He, Anding Zhang, Meilin Jin, Xuehui Cai, Hongkui He, Zigong Wei, Ran Li and Huanchun Chen. Their work appears in journals such as Malaria Journal, Parasites & Vectors, Materials Research Innovations, International Journal of Environmental Research and Public Health 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.

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