Changqing Ma
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 5%
- Oncology top 10%
- Cancer Research top 5%
- Surgery top 10%
- Co-authors
- Uma ChandranGeorge K. MichalopoulosRajiv DhirMichael J. BecichFederico A. MonzonWenjing LiangMaureen A. Lyons‐WeilerMarcia S. Brose
- Topics
- Genetic factors in colorectal cancer (10 papers)Gastric Cancer Management and Outcomes (8 papers)Helicobacter pylori-related gastroenterology studies (8 papers)
- Journals
- Journal of Clinical OncologyMolecular and Cellular BiologyThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesChinaPhilippines
In The Last Decade
Changqing Ma
48 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 789
- Pulmonary and Respiratory Medicine 571
- Oncology 452
- Cancer Research 317
- Surgery 301
Countries citing papers authored by Changqing Ma
This map shows the geographic impact of Changqing Ma'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 Changqing Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changqing Ma more than expected).
Fields of papers citing papers by Changqing Ma
This network shows the impact of papers produced by Changqing Ma. 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 Changqing Ma. The network helps show where Changqing Ma may publish in the future.
Co-authorship network of co-authors of Changqing Ma
This figure shows the co-authorship network connecting the top 25 collaborators of Changqing Ma. A scholar is included among the top collaborators of Changqing Ma 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 Changqing Ma. Changqing Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 17 | |
| 6 | 29 | |
| 7 | 10 | |
| 8 | 17 | |
| 9 | 11 | |
| 10 | 9 | |
| 11 | 5 | |
| 12 | 16 | |
| 13 | 35 | |
| 14 | 4 | |
| 15 | 23 | |
| 16 | 227 | |
| 17 | 26 | |
| 18 | 72 | |
| 19 | 23 | |
| 20 | 116 |
About Changqing Ma
Changqing Ma is a scholar working on Gastroenterology, Pathology and Forensic Medicine and Oncology, having authored 50 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (10 papers), Gastric Cancer Management and Outcomes (8 papers) and Helicobacter pylori-related gastroenterology studies (8 papers). The work is most often cited by research in Cancer Research (317 citations), Genetics (205 citations) and Pulmonary and Respiratory Medicine (571 citations). Changqing Ma has collaborated with scholars based in United States, China and Philippines. Frequent co-authors include Uma Chandran, George K. Michalopoulos, Rajiv Dhir, Michael J. Becich, Federico A. Monzon, Wenjing Liang, Maureen A. Lyons‐Weiler, Marcia S. Brose, Michelle Bisceglia and Reetesh K. Pai. Their work appears in journals such as Journal of Clinical Oncology, Molecular and Cellular Biology and The Journal of Clinical Endocrinology & Metabolism.
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.