Ping Wu
Impact in
- Cancer Research top 5%
- NF-κB Signaling Pathways
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- IL-33, ST2, and ILC Pathways
Papers in
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- NF-κB Signaling Pathways 6
-
- Immunotherapy and Immune Responses 3
- Co-authors
- Linda C. Burkly (9 shared papers)Ulf‐Håkan Stenman (9 shared papers)Jari Leinonen (4 shared papers)Jennifer S. Michaelson (3 shared papers)Anna Borodovsky (2 shared papers)Xingwen Dong (2 shared papers)Hannu K. Koistinen (5 shared papers)Martin Scott (2 shared papers)
- Journals
- The Prostate (3 papers)Biological Chemistry (2 papers)Gastroenterology (2 papers)PLoS ONE (2 papers)Clinical Immunology (1 paper)
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Ping Wu
64 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 118
- Cancer Research 337
- Immunology 425
- Nephrology 110
- Rheumatology 126
- Genetics 88
Countries citing papers authored by Ping Wu
This map shows the geographic impact of Ping Wu'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 Ping Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Wu more than expected).
Fields of papers citing papers by Ping Wu
This network shows the impact of papers produced by Ping Wu. 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 Ping Wu. The network helps show where Ping Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 196 | |
| 2 | 2012 | 84 | |
| 3 | 2014 | 78 | |
| 4 | 2014 | 72 | |
| 5 | 2011 | 72 | |
| 6 | 2000 | 71 | |
| 7 | 2017 | 68 | |
| 8 | 2008 | 66 | |
| 9 | 2016 | 57 | |
| 10 | 2021 | 48 | |
| 11 | 2006 | 47 | |
| 12 | 2011 | 46 | |
| 13 | 2009 | 45 | |
| 14 | 2002 | 43 | |
| 15 | 2008 | 42 | |
| 16 | 1990 | 40 | |
| 17 | 2013 | 39 | |
| 18 | 2004 | 35 | |
| 19 | 2008 | 32 | |
| 20 | 2003 | 29 |
About Ping Wu
Ping Wu is a scholar working on Cancer Research, Immunology, Nephrology, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 68 papers that have together received 1.6k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (6 papers), Prostate Cancer Treatment and Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Immunotherapy and Immune Responses (3 papers), Cardiac Imaging and Diagnostics (3 papers), Evacuation and Crowd Dynamics (2 papers), Computational Drug Discovery Methods (2 papers) and Systemic Lupus Erythematosus Research (2 papers). The work is most often cited by research in Cancer Research (337 citations), Immunology (425 citations), Nephrology (110 citations), Rheumatology (126 citations) and Genetics (88 citations). Ping Wu has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Linda C. Burkly, Ulf‐Håkan Stenman, Jari Leinonen, Jennifer S. Michaelson, Anna Borodovsky, Xingwen Dong, Hannu K. Koistinen, Martin Scott, Timothy S. Zheng and Erkki A. Koivunen. Their work appears in journals such as The Prostate, Biological Chemistry, Gastroenterology, PLoS ONE and Clinical Immunology.
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.