Junxia Tang

19 papers receiving 705 citations

Peers

Junxia Tang
Comparison fields: 5 of 79
  • Developmental Neuroscience 281
  • Critical Care and Intensive Care Medicine 277
  • Biological Psychiatry 42
  • Anesthesiology and Pain Medicine 83
  • Cellular and Molecular Neuroscience 117
Replace Marco Gruß with:
Marco Gruß Germany
Aleksandar R. Zivkovic Germany
Eric L. Goldwaser United States
Giuseppina Talarico Italy
Robert M. Dietz United States
Valerie B. Caraiscos Canada
Thomas Gillessen Germany
Sharon Ohayon Israel
Sean McKay United States
Junxia Tang relative to Marco Gruß Germany Marco Gruß's profile →
Citations per field
00.5×8.4×
Marco Gruß · 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

20 of 20 papers shown
#Work
1 2011155
2 200479
3 200563
4 201251
5 201046
6 201144
7 200240
8 200331
9 201430
10 200430
11 201629
12 200426
13 201222
14 201121
15 202120
16 201215
17 201714
18 20209
19 20213
20 20250

About Junxia Tang

Junxia Tang is a scholar working on Molecular Biology, Developmental Neuroscience, Critical Care and Intensive Care Medicine, Cellular and Molecular Neuroscience and Genetics, having authored 20 papers that have together received 728 indexed citations. Recurring topics across this work include Anesthesia and Neurotoxicity Research (8 papers), Intensive Care Unit Cognitive Disorders (7 papers), S100 Proteins and Annexins (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Genetic Associations and Epidemiology (2 papers), Anesthesia and Sedative Agents (2 papers), Medicinal Plants and Bioactive Compounds (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). The work is most often cited by research in Developmental Neuroscience (281 citations), Critical Care and Intensive Care Medicine (277 citations), Biological Psychiatry (42 citations), Anesthesiology and Pain Medicine (83 citations) and Cellular and Molecular Neuroscience (117 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, Michael Hammond, Yi‐Ju Li, Dimitry Baranov, Lin He, Niufan Gu, Guoyin Feng, Sean T. Garrity and Guang He. Their work appears in journals such as Biochemical and Biophysical Research Communications, Alzheimer s & Dementia, Biological and Pharmaceutical Bulletin, British Journal of Anaesthesia and Anesthesiology.

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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