Long Han

539 citations
30 papers · 420 · h-index 13

Impact in

  • Pharmacology top 10%
    • Silk-based biomaterials and applications
    • Electrospun Nanofibers in Biomedical Applications

Papers in

    • Cardiovascular, Neuropeptides, and Oxidative Stress Research 2
    • Knee injuries and reconstruction techniques 2

Long Han

29 papers receiving 410 citations

Peers

Long Han
Comparison fields: 5 of 83
  • Pharmacology 42
  • Biomaterials 59
  • Molecular Medicine 16
  • Pharmacology 46
  • Rheumatology 34
Replace Hyuck Choi with:
Hyuck Choi South Korea
Chengpeng Li China
Mirosław Sopel Poland
Huiliang Qiu United States
Siming Wei China
Deqin Kong China
Zhixian Zong China
Naseer Ahmad India
Meimei Wu China
Yongsong Xu China
Long Han relative to Hyuck Choi South Korea Hyuck Choi's profile →
Citations per field
00.5×1.5×2.0×
Hyuck Choi · 1×
Citations per year

Countries citing papers authored by Long Han

Since Specialization
Citations

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

Fields of papers citing papers by Long Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200571
2 202242
3 201933
4 202130
5 202128
6 201426
7 202025
8 201723
9 202122
10 202115
11 202114
12 201513
13 201712
14 20209
15 20199
16 20218
17 20208
18 20197
19 20226
20 20214

About Long Han

Long Han is a scholar working on Surgery, Epidemiology, Molecular Biology, Rheumatology and Urology, having authored 30 papers that have together received 420 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (4 papers), Silk-based biomaterials and applications (3 papers), Periodontal Regeneration and Treatments (3 papers), Circular RNAs in diseases (2 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers), Adipose Tissue and Metabolism (2 papers), Knee injuries and reconstruction techniques (2 papers) and Regulation of Appetite and Obesity (2 papers). The work is most often cited by research in Pharmacology (42 citations), Biomaterials (59 citations), Molecular Medicine (16 citations), Pharmacology (46 citations) and Rheumatology (34 citations). Long Han has collaborated with scholars based in China and South Korea. Frequent co-authors include Penghua Fang, Zhenwen Zhang, Nanwei Xu, Mei Yu, Shiyu Han, Wenbin Shang, Sung Vin Yim, Hae Jeong Park, Long Zheng and Jianjian Yin. Their work appears in journals such as Journal of Cancer, Science of Advanced Materials, Phytomedicine, Experimental Gerontology and Acupuncture & Electro-Therapeutics Research.

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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