Xiaoling Jiang

64 papers receiving 1.1k citations

Peers

Xiaoling Jiang
Comparison fields: 5 of 85
  • Endocrine and Autonomic Systems 48
  • Aging 14
  • Clinical Biochemistry 30
  • Cancer Research 80
  • Public Health, Environmental and Occupational Health 163
Replace Markus Brielmeier with:
Markus Brielmeier Germany
Wenke Jonas Germany
Tobias Fromme Germany
Takehito Kuwayama Japan
Kuiyang Zheng China
Kazuya Matsumoto Japan
Jin Hyun Jun South Korea
Koji Uetsuka Japan
Renata L.S. Goncalves United States
Gregory K. Fontenot United States
Xiaoling Jiang relative to Markus Brielmeier Germany Markus Brielmeier's profile →
Citations per field
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Markus Brielmeier · 1×
Citations per year

Countries citing papers authored by Xiaoling Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005106
2 200769
3 201569
4 200966
5 201562
6 200855
7 201252
8 201540
9 201335
10 200332
11 201531
12 201330
13 201027
14 201926
15 201325
16 200722
17 202121
18 201320
19 200818
20 201418

About Xiaoling Jiang

Xiaoling Jiang is a scholar working on Clinical Biochemistry, Public Health, Environmental and Occupational Health, Molecular Biology, Genetics and Pharmacology, having authored 71 papers that have together received 1.1k indexed citations. Recurring topics across this work include Down syndrome and intellectual disability research (10 papers), Fungal and yeast genetics research (9 papers), Genetic and phenotypic traits in livestock (7 papers), Fungal Biology and Applications (5 papers), Metabolism and Genetic Disorders (3 papers), Genomics and Phylogenetic Studies (3 papers), MicroRNA in disease regulation (3 papers) and Paraoxonase enzyme and polymorphisms (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (48 citations), Aging (14 citations), Clinical Biochemistry (30 citations), Cancer Research (80 citations) and Public Health, Environmental and Occupational Health (163 citations). Xiaoling Jiang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zhaowei Cai, Hong Fang, Chuanfeng Wang, Jennifer A. Teske, Catherine M. Kotz, Colleen M. Novak, James A. Levine, Ningying Xu, Chi Yang and Lifan Zhang. Their work appears in journals such as Human Molecular Genetics, International Journal of Molecular Sciences, Scientific Reports, PLoS ONE and G3 Genes Genomes Genetics.

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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