Xiaoting Tang

782 citations
27 papers · 598 · h-index 11

Impact in

Papers in

Xiaoting Tang

25 papers receiving 585 citations

Peers

Xiaoting Tang
Comparison fields: 5 of 94
  • Immunology 131
  • Neurology 31
  • Biological Psychiatry 8
  • Molecular Biology 231
  • Infectious Diseases 54
Replace Prakash Patil with:
Prakash Patil India
Michael T. Shanahan United States
Carolina Manosalva Chile
Tongyi Shen China
Lili Gu China
Ling Wei China
Mingpu Qi China
Narendra Kumar Sharma India
Thunnicha Ondee Thailand
Yanbo Kou China
Xiaoting Tang relative to Prakash Patil India Prakash Patil's profile →
Citations per field
00.5×3.1×
Prakash Patil · 1×
Citations per year

Countries citing papers authored by Xiaoting Tang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoting Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015130
2 201965
3 200654
4 200854
5 201952
6 200551
7 201637
8 202236
9 202224
10 202119
11 202312
12 201910
13 20209
14 20179
15 20236
16
The Effect of Medial Branch Block on Postoperative Residual Pain Relieve After Percutaneous Kyphoplasty: A Randomized Controlled Trial With 12-Month Follow-up.
20216
17 20206
18 20186
19 20234
20 20223

About Xiaoting Tang

Xiaoting Tang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Electrical and Electronic Engineering, Surgery and Small Animals, having authored 27 papers that have together received 598 indexed citations. Recurring topics across this work include Gut microbiota and health (2 papers), Seed Germination and Physiology (2 papers), Integrated Circuits and Semiconductor Failure Analysis (2 papers), Mitochondrial Function and Pathology (2 papers), Cardiovascular Function and Risk Factors (2 papers), Glycosylation and Glycoproteins Research (1 paper), Advanced Battery Technologies Research (1 paper) and Barrier Structure and Function Studies (1 paper). The work is most often cited by research in Immunology (131 citations), Neurology (31 citations), Biological Psychiatry (8 citations), Molecular Biology (231 citations) and Infectious Diseases (54 citations). Xiaoting Tang has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include James E. Bruce, Wenjian Wang, Teng Zhang, Yu Chen, C. L. Larson, Michael E. Konkel, Dandan Wu, Mark Heipel, Anker Jón Hansen and Andrew J. Fleetwood. Their work appears in journals such as Biomolecules, Scientific Reports, Frontiers in Pharmacology, The Journal of Immunology and Clinical Epidemiology.

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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