Mojun Zhu

423 citations
28 papers · 157 · h-index 5

Impact in

Papers in

    • Cancer Immunotherapy and Biomarkers 7
    • Colorectal Cancer Treatments and Studies 5
    • Lung Cancer Research Studies 3
    • Pancreatic and Hepatic Oncology Research 3

Mojun Zhu

24 papers receiving 156 citations

Peers

Mojun Zhu
Comparison fields: 5 of 45
  • Oncology 77
  • Applied Microbiology and Biotechnology 4
  • Cancer Research 30
  • Structural Biology 1
  • Molecular Biology 46
Replace Yosuke Tanaka with:
Yosuke Tanaka Japan
Christina Henson United States
Ruby Kwak United States
Dingcheng Shen China
Shen-Chih Chang United States
Mareike Bommert Germany
Deepthi James United States
Karl Metzger Germany
Hong-Fen Wu China
Enxiao Li China
Mojun Zhu relative to Yosuke Tanaka Japan Yosuke Tanaka's profile →
Citations per field
00.5×2.6×
Yosuke Tanaka · 1×
Citations per year

Countries citing papers authored by Mojun Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Mojun Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mojun Zhu, 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 Mojun Zhu Line = papers co-authored together Mojun Zhu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202340
2 202140
3 201924
4 20219
5 20256
6 20234
7 20194
8 20224
9 20243
10 20253
11 20233
12 20232
13 20242
14 20232
15 20232
16 20241
17 20201
18 20201
19 20251
20 20231

About Mojun Zhu

Mojun Zhu is a scholar working on Oncology, Surgery, Molecular Biology, Epidemiology and Pathology and Forensic Medicine, having authored 28 papers that have together received 157 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (7 papers), Colorectal Cancer Treatments and Studies (5 papers), Genetic factors in colorectal cancer (5 papers), Cancer Genomics and Diagnostics (3 papers), Lung Cancer Research Studies (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Immunotherapy and Immune Responses (3 papers) and Neuroendocrine Tumor Research Advances (3 papers). The work is most often cited by research in Oncology (77 citations), Applied Microbiology and Biotechnology (4 citations), Cancer Research (30 citations), Structural Biology (1 citation) and Molecular Biology (46 citations). Mojun Zhu has collaborated with scholars based in United States, Hungary and Germany. Frequent co-authors include Wen Wee, Tanios Bekaii‐Saab, Robert R. McWilliams, Ling Han, Vincent Quagliarello, Heather Allore, Jing Li, Nguyen H. Tran, Manisha Juthani‐Mehta and Nicholas Chia. Their work appears in journals such as Journal of Clinical Oncology, Cancers, Advanced Science, Clinical Cancer Research and Advanced Biology.

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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