Da Gao

490 total citations
18 papers, 226 citations indexed

About

Da Gao is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Hematology. According to data from OpenAlex, Da Gao has authored 18 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Hematology. Recurrent topics in Da Gao's work include Multiple Myeloma Research and Treatments (4 papers), CNS Lymphoma Diagnosis and Treatment (3 papers) and Cardiovascular Disease and Adiposity (2 papers). Da Gao is often cited by papers focused on Multiple Myeloma Research and Treatments (4 papers), CNS Lymphoma Diagnosis and Treatment (3 papers) and Cardiovascular Disease and Adiposity (2 papers). Da Gao collaborates with scholars based in China, United States and Poland. Da Gao's co-authors include Yanwei Wang, Haiyan Lin, Shengjie Wang, Weifeng Xu, Shengjie Wang, Xianlei Cai, Yanwei Wang, Zicheng Wang, Congling Wang and Zhen Xiao and has published in prestigious journals such as Blood, Medicine and Journal of Cellular Biochemistry.

In The Last Decade

Da Gao

18 papers receiving 225 citations

Peers

Da Gao
Comparison fields: 5 of 48
  • Molecular Biology 132
  • Cancer Research 103
  • Cardiology and Cardiovascular Medicine 45
  • Epidemiology 39
  • Surgery 35
Replace Renata Caroline Costa de Freitas with:
Renata Caroline Costa de Freitas Brazil
Estera Bakinowska Poland
Marina Sánchez‐Frías Spain
Alex George United States
Xiaorong Tian China
Taiying Lu China
Scott H. Bradshaw Canada
Kaiming Luo China
Zhipeng Cao Australia
Renata Caroline Costa de Freitas Brazil View profile →
Citations per field, relative to Da Gao
Da Gao · 1×
Citations per year, relative to Da Gao
Da Gao · 1×

Countries citing papers authored by Da Gao

Since Specialization
Citations

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

Fields of papers citing papers by Da Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Da Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Da Gao. A scholar is included among the top collaborators of Da Gao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Da Gao. Da Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 3
2 8
3 1
4 1
5 1
6 2
7 2
8 1
9 6
10 43
11 8
12 23
13 4
14 9
15
Puerarin leads to K562 cell apoptosis of chronic myelogenous leukemia via induction of autophagy.
2
16 13
17 93
18
[Proliferation inhibition and apoptosis induction of K562 cells by D-limonene].
6

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

Rankless by CCL
2026