Xiaoling Jiang

64 papers receiving 993 citations

Peers

Xiaoling Jiang
Comparison fields: 5 of 101
  • Endocrine and Autonomic Systems 62
  • Cancer Research 112
  • Cell Biology 107
  • Aging 11
  • Molecular Biology 423
Replace Caroline Morel with:
Caroline Morel United States
Marı́a J. Bragado Spain
Joseph Orly Israel
Terence P. Herbert United Kingdom
Nobuko Mori Japan
Josep M. Fernández‐Novell Spain
Kunal Rehani United States
Zhenqi Zhou United States
Kozo Matsumoto Japan
Tim van Zutphen Netherlands
Xiaoling Jiang relative to Caroline Morel United States Caroline Morel's profile →
Citations per field
00.5×1.5×2.2×
Caroline Morel · 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 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005105
2 200763
3 200963
4 201561
5 200855
6 201252
7 201541
8 201537
9 201334
10 200333
11 201530
12 201327
13 201027
14 201925
15 201323
16 200722
17 202120
18 201319
19 200818
20 201418

About Xiaoling Jiang

Xiaoling Jiang is a scholar working on Molecular Biology, Pharmacology, Genetics, Physiology and Plant Science, having authored 74 papers that have together received 1.0k indexed citations. Recurring topics across this work include Fungal Biology and Applications (7 papers), Down syndrome and intellectual disability research (6 papers), Meat and Animal Product Quality (5 papers), MicroRNA in disease regulation (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), Mycorrhizal Fungi and Plant Interactions (3 papers), Adipose Tissue and Metabolism (3 papers) and Regulation of Appetite and Obesity (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (62 citations), Cancer Research (112 citations), Cell Biology (107 citations), Aging (11 citations) and Molecular Biology (423 citations). Xiaoling Jiang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zhaowei Cai, Hong Fang, Jennifer A. Teske, Chuanfeng Wang, James A. Levine, Catherine M. Kotz, Colleen M. Novak, Xiaoyan Liu, Ningying Xu and Chi Yang. Their work appears in journals such as The Journal of Gene Medicine, G3 Genes Genomes Genetics, Cancer Research, Scientific Reports and Journal of genetics and genomics.

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