Dianbo Long

517 citations
19 papers · 373 · h-index 11

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Rheumatology top 10%
    • Osteoarthritis Treatment and Mechanisms

Papers in

Dianbo Long

19 papers receiving 372 citations

Peers

Dianbo Long
Comparison fields: 5 of 51
  • Cancer Research 169
  • Rheumatology 130
  • Molecular Biology 242
  • Geriatrics and Gerontology 8
  • Immunology and Allergy 10
Replace Kendal McCulloch with:
Kendal McCulloch United Kingdom
Didier Philipot France
Kelvin Sin Chi Cheung United Kingdom
Mitsuyasu Iwasawa Japan
Zelda Plener Belgium
Zihao Yao China
Matthew J. Barter United Kingdom
Kathleen Cheung United Kingdom
Je‐Yong Choi South Korea
Xingzhao Wen China
Dianbo Long relative to Kendal McCulloch United Kingdom Kendal McCulloch's profile →
Citations per field
00.5×4.5×
Kendal McCulloch · 1×
Citations per year

Countries citing papers authored by Dianbo Long

Since Specialization
Citations

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

Fields of papers citing papers by Dianbo Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2018127
2 202191
3 202126
4 202224
5 202414
6 202214
7 202413
8 202211
9 202411
10 202210
11 202210
12 20257
13 20214
14 20233
15 20242
16 20062
17 20252
18 20251
19 20241

About Dianbo Long

Dianbo Long is a scholar working on Molecular Biology, Rheumatology, Cancer Research, Surgery and Epidemiology, having authored 19 papers that have together received 373 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (9 papers), Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (5 papers), RNA Research and Splicing (4 papers), Knee injuries and reconstruction techniques (2 papers), Autophagy in Disease and Therapy (2 papers), PARP inhibition in cancer therapy (1 paper) and Bone and Joint Diseases (1 paper). The work is most often cited by research in Cancer Research (169 citations), Rheumatology (130 citations), Molecular Biology (242 citations), Geriatrics and Gerontology (8 citations) and Immunology and Allergy (10 citations). Dianbo Long has collaborated with scholars based in China. Frequent co-authors include Guping Mao, Yan Kang, Ziji Zhang, Yiyang Xu, Zhiwen Li, Xiaoyi Zhao, Hong Sun, Zibo Yang, Zhiqi Zhang and Yan Kang. Their work appears in journals such as Reproduction Fertility and Development, Advanced Science, Oxidative Medicine and Cellular Longevity, Gene and Stem Cell Research & Therapy.

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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