Dong-Jun Lin

494 citations
11 papers · 429 · h-index 11

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Cell Biology top 10%
    • Microtubule and mitosis dynamics

Papers in

    • Acute Myeloid Leukemia Research 5
    • Chronic Myeloid Leukemia Treatments 2
    • Microtubule and mitosis dynamics 5

Dong-Jun Lin

11 papers receiving 425 citations

Peers

Dong-Jun Lin
Comparison fields: 5 of 52
  • Hematology 82
  • Cell Biology 107
  • Cancer Research 69
  • Molecular Biology 255
  • Oncology 76
Replace Su‐Fern Tan with:
Su‐Fern Tan United States
Jennifer S. Carew United States
Ceri M. Wiggins United Kingdom
Ju In Eom South Korea
Jitendra Kumar Kanaujiya India
Maria Nyåkern Italy
Wun‐Shaing Wayne Chang Taiwan
Lilian Stärck Germany
Jeannene Butler United States
Christian Argueta United States
Dong-Jun Lin relative to Su‐Fern Tan United States Su‐Fern Tan's profile →
Citations per field
00.5×5.4×
Su‐Fern Tan · 1×
Citations per year

Countries citing papers authored by Dong-Jun Lin

Since Specialization
Citations

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

Fields of papers citing papers by Dong-Jun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201281
2 201472
3 201359
4 200950
5 201638
6 201337
7 201627
8 201122
9 200916
10 201514
11 201413

About Dong-Jun Lin

Dong-Jun Lin is a scholar working on Hematology, Cell Biology, Molecular Biology, Epidemiology and Cancer Research, having authored 11 papers that have together received 429 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Microtubule and mitosis dynamics (5 papers), Chronic Myeloid Leukemia Treatments (2 papers), Retinoids in leukemia and cellular processes (2 papers), Autophagy in Disease and Therapy (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), NF-κB Signaling Pathways (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Hematology (82 citations), Cell Biology (107 citations), Cancer Research (69 citations), Molecular Biology (255 citations) and Oncology (76 citations). Dong-Jun Lin has collaborated with scholars based in China. Frequent co-authors include Quentin Liu, Zi-Jie Long, Jie Xu, Fei-Meng Zheng, Min Yan, Xiang‐Bo Wan, Chun‐Kui Shao, Xing Wu, Fang Tang and Yu Luo. Their work appears in journals such as Journal of Translational Medicine, PLoS ONE, Molecular Cancer, International Journal of Oncology and Autophagy.

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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