Nan Zhu

5.8k total citations · 3 hit papers
106 papers, 4.4k citations indexed

About

Nan Zhu is a scholar working on Molecular Biology, Hematology and Epidemiology. According to data from OpenAlex, Nan Zhu has authored 106 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 18 papers in Hematology and 16 papers in Epidemiology. Recurrent topics in Nan Zhu's work include Acute Myeloid Leukemia Research (18 papers), Nanoplatforms for cancer theranostics (12 papers) and Epigenetics and DNA Methylation (12 papers). Nan Zhu is often cited by papers focused on Acute Myeloid Leukemia Research (18 papers), Nanoplatforms for cancer theranostics (12 papers) and Epigenetics and DNA Methylation (12 papers). Nan Zhu collaborates with scholars based in China, United States and Germany. Nan Zhu's co-authors include Scott A. Armstrong, Amit Sinha, Kathrin M. Bernt, Andrei V. Krivtsov, Lars Bullinger, Joerg Faber, Kathrin M. Bernt, Andrew L. Kung, Roy M. Pollock and Victoria M. Richon and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Nan Zhu

99 papers receiving 4.3k citations

Hit Papers

MLL-Rearranged Leukemia Is Dependent on Aberrant H3K79 Me... 2011 2026 2016 2021 2011 2011 2012 200 400 600

Peers

Nan Zhu
Comparison fields: 5 of 141
  • Molecular Biology 3.1k
  • Cancer Research 1.0k
  • Hematology 815
  • Oncology 434
  • Immunology 348
Replace Jiang Lin with:
Jiang Lin China
John D. Hooper Australia
Daniel Young United States
Fei Huang China
Luigi Del Vecchio Italy
Germana Castelli Italy
Xabier Agirre Spain
Hao Xiong United States
Guilin Tang United States
Antonino Passaniti United States
Jiang Lin China View profile →
Citations per field, relative to Nan Zhu
Nan Zhu · 1×
Citations per year, relative to Nan Zhu
Nan Zhu · 1×

Countries citing papers authored by Nan Zhu

Since Specialization
Citations

This map shows the geographic impact of Nan Zhu'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 Nan Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Zhu more than expected).

Fields of papers citing papers by Nan Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nan Zhu. 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 Nan Zhu. The network helps show where Nan Zhu may publish in the future.

Co-authorship network of co-authors of Nan Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Zhu. A scholar is included among the top collaborators of Nan Zhu 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 Nan Zhu. Nan Zhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 0
5 0
6 11
7 9
8 3
9 8
10 22
11 63
12 28
13 41
14 54
15 132
16 131
17 26
18 4
19 2
20
MLL-Rearranged Leukemia Is Dependent on Aberrant H3K79 Methylation by DOT1L breakdown →
642

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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