Yong S. Chang
- Molecular Biology top 10%
- Oncology top 5%
- Cancer Research top 5%
- Surgery top 10%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Lance L. MunnRakesh K. JainRosemary JonesEmmanuelle di TomasoDonald M. McDonaldJohn M. TarbellJohn A. FrangosPamela A. Trail
- Topics
- Tuberculosis Research and Epidemiology (7 papers)Angiogenesis and VEGF in Cancer (6 papers)Cancer, Hypoxia, and Metabolism (6 papers)
- Cited by
- Cancer ResearchHepatologyOncology
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Yong S. Chang
33 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Molecular Biology 1.0k
- Oncology 530
- Cancer Research 461
- Surgery 314
- Pulmonary and Respiratory Medicine 290
Countries citing papers authored by Yong S. Chang
This map shows the geographic impact of Yong S. Chang'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 Yong S. Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yong S. Chang more than expected).
Fields of papers citing papers by Yong S. Chang
This network shows the impact of papers produced by Yong S. Chang. 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 Yong S. Chang. The network helps show where Yong S. Chang may publish in the future.
Co-authorship network of co-authors of Yong S. Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Yong S. Chang. A scholar is included among the top collaborators of Yong S. Chang 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 Yong S. Chang. Yong S. Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 58 | |
| 7 | 20 | |
| 8 | 16 | |
| 9 | 40 | |
| 10 | 82 | |
| 11 | 49 | |
| 12 | 105 | |
| 13 | 52 | |
| 14 | Analysis of transcription and protein expression changes in the 786-O human renal cell carcinoma tumor xenograft model in response to treatment with the multi-kinase inhibitor sorafenib (BAY 43-9006) | 25 |
| 15 | 388 | |
| 16 | Preclinical chemotherapy with the VEGFR-2 and PDGFR inhibitor, BAY 57-9352, in combination with Capecitabine and Paclitaxel | 4 |
| 17 | 2 | |
| 18 | 25 | |
| 19 | 101 | |
| 20 | 56 |
About Yong S. Chang
Yong S. Chang is a scholar working on Cancer Research, Infectious Diseases and Physiology, having authored 36 papers that have together received 2.2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (7 papers), Angiogenesis and VEGF in Cancer (6 papers) and Cancer, Hypoxia, and Metabolism (6 papers). The work is most often cited by research in Cancer Research (461 citations), Hepatology (189 citations) and Oncology (530 citations). Yong S. Chang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Lance L. Munn, Rakesh K. Jain, Rosemary Jones, Emmanuelle di Tomaso, Donald M. McDonald, John M. Tarbell, John A. Frangos, Pamela A. Trail, Bahija Jallal and Thomas W. Gardner. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Cancer Research.
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.