Zengjun Li

2.2k citations
133 papers · 1.2k · h-index 19

Impact in

  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research
  • Hematology top 5%
    • Multiple Myeloma Research and Treatments

Papers in

Zengjun Li

120 papers receiving 1.2k citations

Peers

Zengjun Li
Comparison fields: 5 of 92
  • Genetics 227
  • Hematology 216
  • Oncology 390
  • Pathology and Forensic Medicine 245
  • Cancer Research 206
Replace Claire Seedhouse with:
Claire Seedhouse United Kingdom
Michal Bar‐Natan United States
Yoko Okitsu Japan
Chirag Acharya United States
Kwesi Teye Japan
Rosemary Young United Kingdom
Gajanan Bhat United States
Gualtiero Mariani Italy
Yasuyuki Hirashima Japan
Simon Bomken United Kingdom
Zengjun Li relative to Claire Seedhouse United Kingdom Claire Seedhouse's profile →
Citations per field
00.5×1.5×1.9×
Claire Seedhouse · 1×
Citations per year

Countries citing papers authored by Zengjun Li

Since Specialization
Citations

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

Fields of papers citing papers by Zengjun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016100
2 202094
3 201662
4 201656
5 201455
6 201450
7 201546
8 201645
9 201139
10 201039
11 201132
12 201526
13 201725
14 201225
15 202123
16 201623
17 202122
18 201522
19 201522
20 201718

About Zengjun Li

Zengjun Li is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Genetics, Oncology and Hematology, having authored 133 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (30 papers), Lymphoma Diagnosis and Treatment (29 papers), Multiple Myeloma Research and Treatments (17 papers), CAR-T cell therapy research (9 papers), Protein Degradation and Inhibitors (6 papers), MicroRNA in disease regulation (6 papers), Ubiquitin and proteasome pathways (5 papers) and Peptidase Inhibition and Analysis (5 papers). The work is most often cited by research in Genetics (227 citations), Hematology (216 citations), Oncology (390 citations), Pathology and Forensic Medicine (245 citations) and Cancer Research (206 citations). Zengjun Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yanlai Sun, Jianjun Han, Zhongfa Xu, Dehui Zou, Shuhua Yi, Huirong Xu, Lugui Qiu, Yan Xu, Jianning Li and Shuhui Deng. Their work appears in journals such as Blood, Oncotarget, Journal of Clinical Oncology, Frontiers in Immunology and Therapeutics and Clinical Risk Management.

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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