Jun Zhu

7.4k total citations
177 papers, 2.5k citations indexed

About

Jun Zhu is a scholar working on Pathology and Forensic Medicine, Oncology and Genetics. According to data from OpenAlex, Jun Zhu has authored 177 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Pathology and Forensic Medicine, 88 papers in Oncology and 49 papers in Genetics. Recurrent topics in Jun Zhu's work include Lymphoma Diagnosis and Treatment (111 papers), Chronic Lymphocytic Leukemia Research (46 papers) and Viral-associated cancers and disorders (40 papers). Jun Zhu is often cited by papers focused on Lymphoma Diagnosis and Treatment (111 papers), Chronic Lymphocytic Leukemia Research (46 papers) and Viral-associated cancers and disorders (40 papers). Jun Zhu collaborates with scholars based in China, Ethiopia and United States. Jun Zhu's co-authors include Yuqin Song, Weiping Liu, Xiaopei Wang, Lingyan Ping, Zhitao Ying, Yan Xie, Wen Zheng, Ningjing Lin, Lijuan Deng and Meifeng Tu and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Jun Zhu

157 papers receiving 2.5k citations

Peers

Jun Zhu
Comparison fields: 5 of 111
  • Oncology 1.4k
  • Pathology and Forensic Medicine 1.3k
  • Genetics 558
  • Immunology 552
  • Molecular Biology 479
Replace Theodoros P. Vassilakopoulos with:
Theodoros P. Vassilakopoulos Greece
Ahmad Halwani United States
Nishitha Reddy United States
Louis F. Diehl United States
Simon Rule United Kingdom
Marı́a Dolores Caballero Spain
Mustafa Beneklı Türkiye
Anna Marina Liberati Italy
Julio Delgado Spain
Laura C. Cappelli United States
Theodoros P. Vassilakopoulos Greece View profile →
Citations per field, relative to Jun Zhu
Jun Zhu · 1×
Citations per year, relative to Jun Zhu
Jun Zhu · 1×

Countries citing papers authored by Jun Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Zhu. A scholar is included among the top collaborators of Jun 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 Jun Zhu. Jun 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 2
3 1
4 1
5 1
6 1
7 1
8 13
9 5
10 4
11 0
12 111
13
MiR-101 promotes nasopharyngeal carcinoma cell apoptosis through inhibiting Ras/Raf/MEK/ERK signaling pathway
10
14 109
15 8
16 3
17
Effect of Anti-Cyclic Citrullinated Peptide 2 Immunoglobulin M Serostatus on Efficacy Outcomes Following Treatment with Abatacept Plus Methotrexate
1
18 13
19
[Comparison between R-CHOP regimen and CHOP regimen in treating naive diffuse large B-cell lymphoma in China--a multi-center randomized trail].
13
20 6

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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