Zhao Yang

524 total citations
21 papers, 408 citations indexed

About

Zhao Yang is a scholar working on Hematology, Oncology and Molecular Biology. According to data from OpenAlex, Zhao Yang has authored 21 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hematology, 8 papers in Oncology and 6 papers in Molecular Biology. Recurrent topics in Zhao Yang's work include Multiple Myeloma Research and Treatments (10 papers), Cancer Treatment and Pharmacology (4 papers) and Protein Degradation and Inhibitors (4 papers). Zhao Yang is often cited by papers focused on Multiple Myeloma Research and Treatments (10 papers), Cancer Treatment and Pharmacology (4 papers) and Protein Degradation and Inhibitors (4 papers). Zhao Yang collaborates with scholars based in United States, China and Germany. Zhao Yang's co-authors include Rubén Niesvizky, Meletios Α. Dimopoulos, Heinz Ludwig, Amy Kimball, Heng Cui, Xiaohong Chang, Li Tian, Farhad Ravandi, Bhakti Mehta and Hagop M. Kantarjian and has published in prestigious journals such as Journal of Clinical Oncology, Blood and European Journal of Neuroscience.

In The Last Decade

Zhao Yang

19 papers receiving 398 citations

Peers

Zhao Yang
Comparison fields: 5 of 50
  • Hematology 233
  • Oncology 199
  • Molecular Biology 177
  • Radiology, Nuclear Medicine and Imaging 73
  • Reproductive Medicine 67
Replace Robert H. Gersh with:
Robert H. Gersh United States
Frauke Ringel Germany
Shihong Yang Australia
Maximilian Fleischmann Germany
Iman Abou Dalle Lebanon
Ana T. Nunes United States
C O'Flaherty United States
Henning D. Popp Germany
Ana Montes United Kingdom
Arwen Stikvoort Sweden
Robert H. Gersh United States View profile →
Citations per field, relative to Zhao Yang
Zhao Yang · 1×
Citations per year, relative to Zhao Yang
Zhao Yang · 1×

Countries citing papers authored by Zhao Yang

Since Specialization
Citations

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

Fields of papers citing papers by Zhao Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhao Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhao Yang. A scholar is included among the top collaborators of Zhao Yang 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 Zhao Yang. Zhao Yang 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
# Work Indexed citations
1 0
2 1
3 6
4 1
5 100
6 11
7 26
8 43
9 3
10 29
11 2
12 63
13 2
14 2
15 18
16 70
17
[Expression of mast cell tryptase in scar].
2
18 1
19 10
20
[Clinical analysis of eight cases of bone metastasis of uterine carcinomas].
4

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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