Dandan Li

6.1k citations
226 papers · 3.9k indexed · 1 hit paper · h-index 34

Impact in

Papers in

Dandan Li

210 papers receiving 3.8k citations

Hit Papers

Single-Cell Reconstruction of Progression Trajectory Reveals Intervention Principles in Pathological Cardiac Hypertrophy 2020 · 178 citations
178202020262022202450100150

Peers

Dandan Li
Comparison fields: 5 of 169
  • Pharmacology 533
  • Endocrinology, Diabetes and Metabolism 498
  • Cancer Research 334
  • Infectious Diseases 398
  • Molecular Biology 1.4k
Replace Ling Zheng with:
Ling Zheng China
Tannaz Jamialahmadi Iran
Bina Joe United States
Flávio Reis Portugal
Linlin Chen China
Yan Li China
Jing Li China
Yong-ming Yao China
Qi Zhang China
Jiao Guo China
Dandan Li relative to Ling Zheng China Ling Zheng's profile →
Citations per field
00.5×1.5×1.9×
Ling Zheng · 1×
Citations per year

Countries citing papers authored by Dandan Li

Since Specialization
Citations

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

Fields of papers citing papers by Dandan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20241
3 20240
4 20243
5 20242
6 202324
7 202322
8 202315
9 20230
10 20231
11 20235
12 20236
13 202210
14 202216
15 202147
16 202016
17 202033
18 201640
19
[Effect of pathway training on rest heart rate and the application of β-blocker in coronary heart disease patients: an open-label, multi-center, prospective study].
20154
20 201222

About Dandan Li

Dandan Li is a scholar working on Internal Medicine, Pharmacology, Infectious Diseases, Microbiology and Gastroenterology, having authored 226 papers that have together received 3.9k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (14 papers), Viral gastroenteritis research and epidemiology (10 papers), Gut microbiota and health (10 papers), Antiplatelet Therapy and Cardiovascular Diseases (8 papers), Venous Thromboembolism Diagnosis and Management (8 papers), Hematopoietic Stem Cell Transplantation (7 papers), Diabetes Treatment and Management (7 papers) and COVID-19 Clinical Research Studies (6 papers). The work is most often cited by research in Pharmacology (533 citations), Endocrinology, Diabetes and Metabolism (498 citations), Cancer Research (334 citations), Infectious Diseases (398 citations) and Molecular Biology (1.4k citations). Dandan Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jinming Li, Huilin Tang, Tiansheng Wang, Su Shen, Bingying Zhou, Honghao Zheng, Zheng‐Xin Wang, Yue Dong, Zhenwei Fang and Zongna Ren. Their work appears in journals such as Blood, Vaccines, Diabetes Obesity and Metabolism, European Journal of Pharmacology and Vaccine.

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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