Dandan Lv

913 citations
19 papers · 713 indexed · h-index 14

Impact in

    • Cancer-related molecular mechanisms research
  • Immunology top 10%
    • Immune cells in cancer
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immunotherapy and Immune Responses

Papers in

    • Cancer, Hypoxia, and Metabolism 2
    • Immunotherapy and Immune Responses 3
    • Immune cells in cancer 3
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2

Dandan Lv

19 papers receiving 706 citations

Peers

Dandan Lv
Comparison fields: 5 of 82
  • Cancer Research 168
  • Immunology 230
  • Oncology 165
  • Molecular Biology 357
  • Molecular Medicine 22
Replace Xiaofeng Ding with:
Xiaofeng Ding China
Pattatheyil Arun India
Xuejiao Yang China
Nicholas A. Young United States
Helong Zhao United States
Zhuo-Wei Hu China
Minchan Gil South Korea
Wenqiang Quan China
Chong Luo China
Xiaoming Zhong China
Dandan Lv relative to Xiaofeng Ding China Xiaofeng Ding's profile →
Citations per field
00.5×1.6×
Xiaofeng Ding · 1×
Citations per year

Countries citing papers authored by Dandan Lv

Since Specialization
Citations

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

Fields of papers citing papers by Dandan Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 20241
2 20242
3 202336
4 2022120
5 20204
6 202029
7 20193
8 201817
9 201721
10 20174
11 201553
12 201379
13 201218
14 2012101
15 201235
16 201130
17 201118
18 200822
19 2008120

About Dandan Lv

Dandan Lv is a scholar working on Cancer Research, Immunology, Molecular Medicine, Cellular and Molecular Neuroscience and Microbiology, having authored 19 papers that have together received 713 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (3 papers), Immune cells in cancer (3 papers), Mitochondrial Function and Pathology (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Protein Tyrosine Phosphatases (2 papers), Cellular transport and secretion (2 papers) and Chemokine receptors and signaling (2 papers). The work is most often cited by research in Cancer Research (168 citations), Immunology (230 citations), Oncology (165 citations), Molecular Biology (357 citations) and Molecular Medicine (22 citations). Dandan Lv has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jing Fang, Dan Meng, Ha-Jeong Kim, Xiaojing Ma, Kejing Ying, Yiming Xu, Xue Zhang, Hua Su, Yan Zhang and Lixing Zhang. Their work appears in journals such as Advanced Science, Cellular and Molecular Immunology, Cell Research, Cardiovascular Research and Journal of Clinical Investigation.

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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