Pu Zhang

8.5k citations
163 papers · 6.5k indexed · 2 hit papers · h-index 36

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

    • Acute Myeloid Leukemia Research 21
    • Bladder and Urothelial Cancer Treatments 12

Pu Zhang

149 papers receiving 6.4k citations

Hit Papers

Dominant-negative mutations of CEBPA, encoding CCAAT/enhancer binding protein-α (C/EBPα), in acute myeloid leukemia 2001 · 681 citations
6811997202620062016250500750

Peers

Pu Zhang
Comparison fields: 5 of 140
  • Hematology 2.2k
  • Immunology 1.5k
  • Molecular Biology 3.1k
  • Genetics 476
  • Cancer Research 597
Replace Louis M. Pelus with:
Louis M. Pelus United States
Arinobu Tojo Japan
Helmut Hanenberg Germany
Paul‐Henri Roméo France
Hans‐Georg Kopp Germany
Marco Rossi Italy
Bi‐Sen Ding United States
Yue Lu United States
Ernest S. Kawasaki United States
Krisztina M. Zsebo United States
Pu Zhang relative to Louis M. Pelus United States Louis M. Pelus's profile →
Citations per field
00.5×2.8×
Louis M. Pelus · 1×
Citations per year

Countries citing papers authored by Pu Zhang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Pu Zhang Line = papers co-authored together Pu Zhang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20246
5 20248
6 20240
7 202322
8 20232
9 20233
10 202320
11 20233
12 20222
13 20213
14 202117
15 202037
16 202012
17 201842
18 201416
19 201325
20 200652

About Pu Zhang

Pu Zhang is a scholar working on Hematology, Surgery, Pharmacology, Reproductive Medicine and Pharmaceutical Science, having authored 163 papers that have together received 6.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (21 papers), Bladder and Urothelial Cancer Treatments (12 papers), Spine and Intervertebral Disc Pathology (9 papers), Nanoplatforms for cancer theranostics (9 papers), Musculoskeletal pain and rehabilitation (8 papers), Peptidase Inhibition and Analysis (7 papers), Epigenetics and DNA Methylation (6 papers) and Advanced Drug Delivery Systems (5 papers). The work is most often cited by research in Hematology (2.2k citations), Immunology (1.5k citations), Molecular Biology (3.1k citations), Genetics (476 citations) and Cancer Research (597 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, Frontiers in Oncology, Drug Delivery and International Journal of Nanomedicine.

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.

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