Danli Kong

1.4k citations
34 papers · 1.1k · h-index 14

Impact in

Papers in

Danli Kong

33 papers receiving 1.1k citations

Peers

Danli Kong
Comparison fields: 5 of 111
  • Cancer Research 480
  • Geriatrics and Gerontology 60
  • Biological Psychiatry 31
  • Molecular Biology 643
  • Rehabilitation 63
Replace Yuanlin Ding with:
Yuanlin Ding China
Lin Dou China
Miaomiao Fan China
Jie Xiong China
Honglei Yin China
Ziwen Wang China
Jincheng Liu China
Mingjing Yan China
Manman Wang China
Danli Kong relative to Yuanlin Ding China Yuanlin Ding's profile →
Citations per field
00.5×1.5×2.4×
Yuanlin Ding · 1×
Citations per year

Countries citing papers authored by Danli Kong

Since Specialization
Citations

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

Fields of papers citing papers by Danli Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017245
2 2015195
3 2019111
4 2019110
5 201573
6 202063
7 201641
8 201137
9 201334
10 202224
11 202424
12 201523
13 202322
14 201520
15 201512
16
Elevated circulating miR-126-3p expression in patients with acute myocardial infarction: its diagnostic value.
201712
17 202211
18 201711
19 20246
20 20246

About Danli Kong

Danli Kong is a scholar working on Molecular Biology, Epidemiology, Endocrinology, Diabetes and Metabolism, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), MicroRNA in disease regulation (5 papers), Sirtuins and Resveratrol in Medicine (4 papers), Circular RNAs in diseases (4 papers), Tryptophan and brain disorders (3 papers), Artificial Intelligence in Healthcare (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). The work is most often cited by research in Cancer Research (480 citations), Geriatrics and Gerontology (60 citations), Biological Psychiatry (31 citations), Molecular Biology (643 citations) and Rehabilitation (63 citations). Danli Kong has collaborated with scholars based in China, United States and Greece. Frequent co-authors include Yuanlin Ding, Haibing Yu, Yuqing He, Haiyan Pan, Zhigang Huang, Yugang Jiang, Tao Li, Congcong Pan, Chengkai Xu and Kai Wang. Their work appears in journals such as Scientific Reports, BioMed Research International, Frontiers in Pharmacology, Frontiers in Psychiatry and Diabetes Technology & Therapeutics.

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.

Explore authors with similar magnitude of impact