Nianqing Xiao
- Oncology top 5%
- Molecular Biology
- Cancer Research top 5%
- Pulmonary and Respiratory Medicine top 10%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Zoran GatalicaJohn L. MarshallDavid SpetzlerAri M. VanderwaldeSemir VranićCarrie SnyderDonald DefrancoHenry T. Lynch
- Topics
- Cancer Genomics and Diagnostics (5 papers)Immunotherapy and Immune Responses (4 papers)Genetic factors in colorectal cancer (3 papers)
- Partner nations
- United StatesSingaporeBosnia and Herzegovina
In The Last Decade
Nianqing Xiao
26 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Oncology 847
- Molecular Biology 624
- Cancer Research 377
- Pulmonary and Respiratory Medicine 337
- Pathology and Forensic Medicine 298
Countries citing papers authored by Nianqing Xiao
This map shows the geographic impact of Nianqing Xiao'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 Nianqing Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nianqing Xiao more than expected).
Fields of papers citing papers by Nianqing Xiao
This network shows the impact of papers produced by Nianqing Xiao. 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 Nianqing Xiao. The network helps show where Nianqing Xiao may publish in the future.
Co-authorship network of co-authors of Nianqing Xiao
This figure shows the co-authorship network connecting the top 25 collaborators of Nianqing Xiao. A scholar is included among the top collaborators of Nianqing Xiao 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 Nianqing Xiao. Nianqing Xiao 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 | 11 | |
| 3 | Microsatellite instability status determined by next‐generation sequencing and compared with | 333 |
| 4 | 14 | |
| 5 | 92 | |
| 6 | 9 | |
| 7 | 16 | |
| 8 | Programmed Cell Death 1 (PD-1) and Its Ligand (PD-L1) in Common Cancers and Their Correlation with Molecular Cancer Typebreakdown → | 416 |
| 9 | 66 | |
| 10 | 19 | |
| 11 | 8 | |
| 12 | 2 | |
| 13 | 74 | |
| 14 | 31 | |
| 15 | 37 | |
| 16 | 114 | |
| 17 | 152 | |
| 18 | 50 | |
| 19 | 32 | |
| 20 | 28 |
About Nianqing Xiao
Nianqing Xiao is a scholar working on Cancer Research, Immunology and Otorhinolaryngology, having authored 26 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), Immunotherapy and Immune Responses (4 papers) and Genetic factors in colorectal cancer (3 papers). The work is most often cited by research in Oncology (847 citations), Cancer Research (377 citations) and Pathology and Forensic Medicine (298 citations). Nianqing Xiao has collaborated with scholars based in United States, Singapore and Bosnia and Herzegovina. Frequent co-authors include Zoran Gatalica, John L. Marshall, David Spetzler, Ari M. Vanderwalde, Semir Vranić, Carrie Snyder, Donald Defranco, Henry T. Lynch, Daniel A. Holterman and Inga Rose. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.
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.