Zhigang C. Wang
- Molecular Biology top 2%
- Oncology top 1%
- Cancer Research top 1%
- Genetics top 5%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- J. Dirk IglehartAndrea L. RichardsonAlexander MironXin LüArcangela De NicoloMyles BrownShridar GanesanDavid M. Livingston
- Topics
- BRCA gene mutations in cancer (6 papers)Cancer Genomics and Diagnostics (6 papers)DNA Repair Mechanisms (5 papers)
- Partner nations
- United StatesDenmarkUnited Kingdom
In The Last Decade
Zhigang C. Wang
21 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Biology 2.6k
- Oncology 1.9k
- Cancer Research 1.1k
- Genetics 536
- Pulmonary and Respiratory Medicine 479
Countries citing papers authored by Zhigang C. Wang
This map shows the geographic impact of Zhigang C. Wang'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 Zhigang C. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhigang C. Wang more than expected).
Fields of papers citing papers by Zhigang C. Wang
This network shows the impact of papers produced by Zhigang C. Wang. 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 Zhigang C. Wang. The network helps show where Zhigang C. Wang may publish in the future.
Co-authorship network of co-authors of Zhigang C. Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhigang C. Wang. A scholar is included among the top collaborators of Zhigang C. Wang 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 Zhigang C. Wang. Zhigang C. Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 103 | |
| 2 | 18 | |
| 3 | CDK7-Dependent Transcriptional Addiction in Triple-Negative Breast Cancerbreakdown → | 347 |
| 4 | 180 | |
| 5 | 105 | |
| 6 | 412 | |
| 7 | 112 | |
| 8 | Autocrine TGF-β and stromal cell-derived factor-1 (SDF-1) signaling drives the evolution of tumor-promoting mammary stromal myofibroblastsbreakdown → | 659 |
| 9 | 79 | |
| 10 | 365 | |
| 11 | 131 | |
| 12 | 188 | |
| 13 | Amplification of chromosome 8q22 and metastasis of breast cancers | 2 |
| 14 | X chromosomal abnormalities in basal-like human breast cancerbreakdown → | 668 |
| 15 | 159 | |
| 16 | 15 | |
| 17 | 143 | |
| 18 | 2 | |
| 19 | 150 | |
| 20 | 11 |
About Zhigang C. Wang
Zhigang C. Wang is a scholar working on Cancer Research, Oncology and Genetics, having authored 22 papers that have together received 3.9k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (6 papers), Cancer Genomics and Diagnostics (6 papers) and DNA Repair Mechanisms (5 papers). The work is most often cited by research in Cancer Research (1.1k citations), Oncology (1.9k citations) and Molecular Biology (2.6k citations). Zhigang C. Wang has collaborated with scholars based in United States, Denmark and United Kingdom. Frequent co-authors include J. Dirk Iglehart, Andrea L. Richardson, Andrea L. Richardson, Alexander Miron, Xin Lü, Arcangela De Nicolo, Myles Brown, Shridar Ganesan, David M. Livingston and Xiaodong Liao. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Medicine.
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.