Hehai Pan

1.4k citations
16 papers · 1.0k · 1 hit paper · h-index 13

Impact in

Papers in

Hehai Pan

16 papers receiving 1.0k citations

Hehai Pan's Hit Papers

Painful intervertebral disc degeneration and inflammation: from laboratory evidence to clinical interventions 2021 · 331 citations
3310+1+3Years since publication100200300

Peers

Hehai Pan
Comparison fields: 5 of 74
  • Pathology and Forensic Medicine 575
  • Pharmacology 269
  • Rheumatology 183
  • Orthopedics and Sports Medicine 67
  • Cancer Research 77
Replace Emanuel J. Novais with:
Emanuel J. Novais United States
Joana Caldeira Portugal
Asha Guttapalli United States
Feng‐Juan Lyu China
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Elizabeth S. Silagi United States
Hehai Pan relative to Emanuel J. Novais United States Emanuel J. Novais's profile →
Citations per field
00.5×4.4×
Emanuel J. Novais · 1×
Citations per year

Countries citing papers authored by Hehai Pan

Since Specialization
Citations

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

Fields of papers citing papers by Hehai Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
Painful intervertebral disc degeneration and inflammation: from laboratory evidence to clinical interventions
Hit paper breakdown →
2021331
2 2020202
3 2018118
4 201874
5 201448
6 201843
7 201940
8 201833
9 201432
10 201525
11 202116
12 202214
13 201814
14 201412
15 201611
16 20202

About Hehai Pan

Hehai Pan is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Rheumatology, Surgery and Pharmacology, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (7 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Pregnancy-related medical research (2 papers), Hip disorders and treatments (2 papers), Bone Metabolism and Diseases (2 papers), Spondyloarthritis Studies and Treatments (2 papers), Cancer Mechanisms and Therapy (1 paper) and Bone and Joint Diseases (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (575 citations), Pharmacology (269 citations), Rheumatology (183 citations), Orthopedics and Sports Medicine (67 citations) and Cancer Research (77 citations). Hehai Pan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhaomin Zheng, Haowen Cui, Zemin Li, Jianru Wang, James C. Iatridis, Xu Cao, Kmc Cheung, Feng‐Juan Lyu, Hua Wang and Jun Long. Their work appears in journals such as Journal of Orthopaedic Research®, Bone Research, Briefings in Functional Genomics, Arthritis & Rheumatology and Experimental & Molecular Medicine.

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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