R Zhang

543 citations
30 papers · 306 indexed · h-index 9
Topics
Metabolism, Diabetes, and Cancer (3 papers)Image Enhancement Techniques (3 papers)Diabetes Treatment and Management (3 papers)
Journals
SHILAP Revista de lepidopterologíaOncogeneNeuroscience

In The Last Decade

R Zhang

25 papers receiving 299 citations

Peers

R Zhang
Comparison fields: 5 of 73
  • Molecular Biology 139
  • Physiology 73
  • Cardiology and Cardiovascular Medicine 51
  • Surgery 49
  • Cancer Research 47
Replace Dario F. Riascos‐Bernal with:
Dario F. Riascos‐Bernal United States
Frank Kuhr United States
Mohamed Adam Canada
Charles Mackay United States
Thomas J.T. Anderson United States
Abel Martín-Garrido United States
Kristel M. Cromheeke Belgium
G. Hege Thoresen Norway
Ben Ma United States
R Zhang relative to Dario F. Riascos‐Bernal United States Dario F. Riascos‐Bernal's profile →
Citations per field
00.5×1.5×
Dario F. Riascos‐Bernal · 1×
Citations per year

Countries citing papers authored by R Zhang

Since Specialization
Citations

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

Fields of papers citing papers by R Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of R Zhang. A scholar is included among the top collaborators of R Zhang 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 R Zhang. R Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 1
4 1
5 0
6 2
7 0
8 3
9 2
10 6
11 7
12 9
13
ROS generation and autophagosome accumulation contribute to the DMAMCL-induced inhibition of glioma cell proliferation by regulating the ROS/MAPK signaling pathway and suppressing the Akt/mTOR signaling pathway
2
14 12
15 20
16 12
17 4
18 5
19
[3D solid model of mandible with dental arch via LOM method].
1
20
Nitric oxide synthase inhibitors attenuate transforming-growth-factor-beta 1-stimulated capillary organization in vitro.
99

About R Zhang

R Zhang is a scholar working on Toxicology, Cancer Research and Geriatrics and Gerontology, having authored 30 papers that have together received 306 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (3 papers), Image Enhancement Techniques (3 papers) and Diabetes Treatment and Management (3 papers). The work is most often cited by research in Biochemistry (24 citations), Cancer Research (47 citations) and Physiology (73 citations). R Zhang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Kaushik Desai, Guillermo García‐Cardeña, María Piedad Ruiz‐Torres, Andreas Papapetropoulos, Joseph A. Madri, R. Daniel Rudic, Bernd Mayer, Jiong Li, Qinxuan Gu and Zhenggang Zhu. Their work appears in journals such as SHILAP Revista de lepidopterología, Oncogene and Neuroscience.

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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