Liting Jia

1.3k citations
47 papers · 1.0k · h-index 18

Impact in

Papers in

Liting Jia

46 papers receiving 983 citations

Peers

Liting Jia
Comparison fields: 5 of 97
  • Obstetrics and Gynecology 202
  • Pediatrics, Perinatology and Child Health 367
  • Developmental Neuroscience 48
  • Immunology 203
  • Parasitology 61
Replace Christophe Buffat with:
Christophe Buffat France
Priscila Rezeck Nunes Brazil
Benjamin T. Jackson United States
Denise G. Hemmings Canada
Philippe De Nayer Belgium
Attila Molvarec Hungary
Miguel A. Alejandre Alcázar Germany
Christine Chauveau France
Zongli Diao China
Maryam Rashidi Iran
Liting Jia relative to Christophe Buffat France Christophe Buffat's profile →
Citations per field
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Christophe Buffat · 1×
Citations per year

Countries citing papers authored by Liting Jia

Since Specialization
Citations

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

Fields of papers citing papers by Liting Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009264
2 201358
3 201153
4 201945
5 201342
6 201540
7 201335
8 201535
9 201529
10 201328
11 201428
12 201227
13 201822
14 201721
15 201221
16 201720
17 201319
18 201219
19 201717
20 201315

About Liting Jia

Liting Jia is a scholar working on Immunology, Molecular Biology, Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Public Health, Environmental and Occupational Health, having authored 47 papers that have together received 1.0k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (11 papers), Pregnancy and preeclampsia studies (10 papers), Thyroid Disorders and Treatments (7 papers), MicroRNA in disease regulation (4 papers), Neonatal and fetal brain pathology (3 papers), Immune Cell Function and Interaction (3 papers), Prenatal Screening and Diagnostics (3 papers) and Birth, Development, and Health (3 papers). The work is most often cited by research in Obstetrics and Gynecology (202 citations), Pediatrics, Perinatology and Child Health (367 citations), Developmental Neuroscience (48 citations), Immunology (203 citations) and Parasitology (61 citations). Liting Jia has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Linlin Zhang, Zhan Zhang, Zhan Zhang, Falin Xu, Cheng Xiu-yong, Ling Ji, Xiaoyan Guo, Wenqing Kang, Hong Xiong and Klas Blomgren. Their work appears in journals such as European Journal of Pharmacology, Clinical Biochemistry, Reproductive Sciences, Journal of Molecular Histology and Clinica Chimica Acta.

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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