Pu Zhang
Impact in
- Hematology top 0.2%
- Acute Myeloid Leukemia Research
- Immunology top 1%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immune Response and Inflammation
Papers in
- Surgery 34
- Bladder and Urothelial Cancer Treatments 8
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- Epigenetics and DNA Methylation 6
- Co-authors
- Daniel G. Tenen (22 shared papers)Hanna S. Radomska (9 shared papers)Christopher J. Hetherington (6 shared papers)Dong‐Er Zhang (3 shared papers)Gretchen J. Darlington (1 shared paper)Claudia S. Huettner (3 shared papers)Tajhal Dayaram (6 shared papers)Koichi Akashi (6 shared papers)
- Journals
- Blood (10 papers)PLoS ONE (4 papers)International Journal of Nanomedicine (3 papers)Frontiers in Oncology (3 papers)Drug Delivery (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Pu Zhang
151 papers receiving 6.6k citations
Pu Zhang's Hit Papers
Peers
Comparison fields: 5 of 138
- Hematology 2.1k
- Immunology 1.5k
- Genetics 428
- Molecular Biology 2.9k
- Cancer Research 543
Countries citing papers authored by Pu Zhang
This map shows the geographic impact of Pu Zhang'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 Pu Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pu Zhang more than expected).
Fields of papers citing papers by Pu Zhang
This network shows the impact of papers produced by Pu Zhang. 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 Pu Zhang. The network helps show where Pu Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Pu Zhang, 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 163 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Absence of granulocyte colony-stimulating factor signaling and neutrophil development in CCAAT enhancer binding protein α-deficient mice Hit paper breakdown → | 1997 | 765 |
| 2 | Dominant-negative mutations of CEBPA, encoding CCAAT/enhancer binding protein-α (C/EBPα), in acute myeloid leukemia Hit paper breakdown → | 2001 | 682 |
| 3 | 1998 | 412 | |
| 4 | 2004 | 402 | |
| 5 | 2006 | 332 | |
| 6 | 2005 | 307 | |
| 7 | 2000 | 289 | |
| 8 | 2007 | 191 | |
| 9 | 2006 | 161 | |
| 10 | 2007 | 142 | |
| 11 | 2021 | 133 | |
| 12 | 2018 | 108 | |
| 13 | 2009 | 91 | |
| 14 | 2014 | 88 | |
| 15 | 2001 | 81 | |
| 16 | 2003 | 81 | |
| 17 | 2020 | 78 | |
| 18 | 2018 | 75 | |
| 19 | 2002 | 70 | |
| 20 | 2021 | 66 |
About Pu Zhang
Pu Zhang is a scholar working on Surgery, Molecular Biology, Hematology, Oncology and Immunology, having authored 163 papers that have together received 6.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (21 papers), Bladder and Urothelial Cancer Treatments (8 papers), Spine and Intervertebral Disc Pathology (8 papers), Nanoplatforms for cancer theranostics (8 papers), Peptidase Inhibition and Analysis (7 papers), Epigenetics and DNA Methylation (6 papers), Musculoskeletal pain and rehabilitation (5 papers) and Advanced Drug Delivery Systems (5 papers). The work is most often cited by research in Hematology (2.1k citations), Immunology (1.5k citations), Genetics (428 citations), Molecular Biology (2.9k citations) and Cancer Research (543 citations). Pu Zhang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Daniel G. Tenen, Hanna S. Radomska, Christopher J. Hetherington, Dong‐Er Zhang, Gretchen J. Darlington, Claudia S. Huettner, Tajhal Dayaram, Koichi Akashi, Beatrice U. Mueller and Susanne Schnittger. Their work appears in journals such as Blood, PLoS ONE, International Journal of Nanomedicine, Frontiers in Oncology and Drug Delivery.
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.