Junxia Tang

19 papers receiving 735 citations

Peers

Junxia Tang
Comparison fields: 5 of 78
  • Critical Care and Intensive Care Medicine 253
  • Developmental Neuroscience 198
  • Biological Psychiatry 38
  • Anesthesiology and Pain Medicine 59
  • Biochemistry 47
Replace Sijie Tan with:
Sijie Tan China
Giuseppina Talarico Italy
Chaoli Huang China
Sharon Ohayon Israel
Dambinova Sa Russia
J. Abraham United States
T.C. Der United States
Yogendra H. Raol United States
Marina Lin United States
Rolf Anckarsäter Sweden
Junxia Tang relative to Sijie Tan China Sijie Tan's profile →
Citations per field
00.5×2×4×6×8×9.4×
Sijie Tan · 1×
Citations per year

Countries citing papers authored by Junxia Tang

Since Specialization
Citations

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

Fields of papers citing papers by Junxia Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2011161
2 200486
3 200564
4 201251
5 201146
6 201046
7 200239
8 200332
9 200431
10 201430
11 201630
12 200426
13 201124
14 202124
15 201223
16 201218
17 201715
18 202010
19 20213

About Junxia Tang

Junxia Tang is a scholar working on Molecular Biology, Critical Care and Intensive Care Medicine, Cellular and Molecular Neuroscience, Genetics and Developmental Neuroscience, having authored 19 papers that have together received 759 indexed citations. Recurring topics across this work include Intensive Care Unit Cognitive Disorders (6 papers), Anesthesia and Neurotoxicity Research (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Medicinal Plants and Bioactive Compounds (2 papers), Genetic Associations and Epidemiology (2 papers), Diet and metabolism studies (1 paper) and S100 Proteins and Annexins (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (253 citations), Developmental Neuroscience (198 citations), Biological Psychiatry (38 citations), Anesthesiology and Pain Medicine (59 citations) and Biochemistry (47 citations). Junxia Tang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Maryellen F. Eckenhoff, Roderic G. Eckenhoff, Dimitry Baranov, Leslie M. Shaw, Lin He, Niufan Gu, Guoyin Feng, Guang He, Sean T. Garrity and Yifeng Shen. Their work appears in journals such as Biochemical and Biophysical Research Communications, Molecular Psychiatry, Genome Research, Progress in Neuro-Psychopharmacology and Biological Psychiatry and Biological and Pharmaceutical Bulletin.

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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