Liting Jia

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

Impact in

Papers in

Liting Jia

46 papers receiving 992 citations

Peers

Liting Jia
Comparison fields: 5 of 91
  • Obstetrics and Gynecology 162
  • Pediatrics, Perinatology and Child Health 291
  • Developmental Neuroscience 45
  • Parasitology 61
  • Immunology 176
Replace Christophe Buffat with:
Christophe Buffat France
Attila Molvarec Hungary
Mustafa Coşan Terek Türkiye
Claudia Bănescu Romania
Ariadne Malamitsi‐Puchner Greece
Letizia Schreiber Israel
Christine Chauveau France
Ying Xiang China
Hye Won Kim South Korea
Liting Jia relative to Christophe Buffat France Christophe Buffat's profile →
Citations per field
00.5×7.5×
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 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009266
2 201359
3 201153
4 201946
5 201342
6 201540
7 201335
8 201535
9 201529
10 201429
11 201328
12 201227
13 201222
14 201822
15 201721
16 201320
17 201720
18 201219
19 201717
20 201315

About Liting Jia

Liting Jia is a scholar working on Obstetrics and Gynecology, Immunology, Pediatrics, Perinatology and Child Health, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 46 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (9 papers), Thyroid Disorders and Treatments (6 papers), Reproductive System and Pregnancy (5 papers), MicroRNA in disease regulation (4 papers), Immune Cell Function and Interaction (3 papers), Prenatal Screening and Diagnostics (3 papers), Parasitic Infections and Diagnostics (2 papers) and Neonatal and fetal brain pathology (2 papers). The work is most often cited by research in Obstetrics and Gynecology (162 citations), Pediatrics, Perinatology and Child Health (291 citations), Developmental Neuroscience (45 citations), Parasitology (61 citations) and Immunology (176 citations). Liting Jia has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Linlin Zhang, Zhan Zhang, Falin Xu, Zhan Zhang, G Simbruner, Xiaoyan Guo, Wenqing Kang, Xiaoyang Wang, Changlian Zhu and Hong Xiong. Their work appears in journals such as Journal of Molecular Histology, European Journal of Pharmacology, Clinical Biochemistry, Reproductive Sciences 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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