Jing‐Xia Hao

2.3k citations
57 papers · 1.9k · h-index 29

Impact in

Papers in

Jing‐Xia Hao

55 papers receiving 1.8k citations

Peers

Jing‐Xia Hao
Comparison fields: 5 of 93
  • Physiology 1.3k
  • Cellular and Molecular Neuroscience 888
  • Pharmacology 135
  • Anesthesiology and Pain Medicine 73
  • Physiology 67
Replace Teresa Pélissier with:
Teresa Pélissier Chile
Maria D. Rutkowski United States
Nancy Nutile‐McMenemy United States
Marc R. Suter Switzerland
Sarah M. Sweitzer United States
Ying Zang China
Xu‐Hong Wei China
A. Mauborgne France
José M. Baeyens Spain
Ilona Obara Poland
Jing‐Xia Hao relative to Teresa Pélissier Chile Teresa Pélissier's profile →
Citations per field
00.5×1.5×
Teresa Pélissier · 1×
Citations per year

Countries citing papers authored by Jing‐Xia Hao

Since Specialization
Citations

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

Fields of papers citing papers by Jing‐Xia Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jing‐Xia Hao. 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 Jing‐Xia Hao. The network helps show where Jing‐Xia Hao may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997117
2 2004105
3 199899
4 201379
5 200573
6 199467
7 199665
8 199759
9 199856
10 199950
11 199449
12 200147
13 200245
14 200443
15 200043
16 200342
17 200641
18 200240
19 200439
20 200538

About Jing‐Xia Hao

Jing‐Xia Hao is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Pharmacology and Pathology and Forensic Medicine, having authored 57 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (49 papers), Neuropeptides and Animal Physiology (20 papers), Ion channel regulation and function (10 papers), Nerve injury and regeneration (8 papers), Botulinum Toxin and Related Neurological Disorders (7 papers), Spinal Cord Injury Research (6 papers), Pharmacological Effects of Natural Compounds (4 papers) and Musculoskeletal pain and rehabilitation (4 papers). The work is most often cited by research in Physiology (1.3k citations), Cellular and Molecular Neuroscience (888 citations), Pharmacology (135 citations), Anesthesiology and Pain Medicine (73 citations) and Physiology (67 citations). Jing‐Xia Hao has collaborated with scholars based in Sweden, United States and China. Frequent co-authors include Xiao‐Jun Xu, Zsuzsanna Wiesenfeld‐Hallin, Isabella Shi Xu, Tomas Hökfelt, Wei Yu, Weiping Wu, Xiaojun Xu, Tamás Bartfai, Gordon Blackburn-Munro and Tianle Gao. Their work appears in journals such as Pain, European Journal of Pharmacology, Brain Research, Anesthesia & Analgesia and Neuroreport.

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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