Linlin Lv

650 citations
30 papers · 433 · h-index 12

Impact in

Papers in

    • Ubiquitin and proteasome pathways 5
    • Cancer-related gene regulation 4
    • Pancreatic and Hepatic Oncology Research 3
    • Cancer-related Molecular Pathways 2

Linlin Lv

28 papers receiving 426 citations

Peers

Linlin Lv
Comparison fields: 5 of 96
  • Cancer Research 73
  • Oncology 93
  • Molecular Biology 234
  • Biological Psychiatry 8
  • Complementary and alternative medicine 25
Replace Deok Yong Sim with:
Deok Yong Sim South Korea
Xinxin Deng China
Yanna Jiao China
Yingying Wang China
Lu Wen China
Jianlin Ren China
Sławomir Mańdziuk Poland
Ghader Babaei Iran
Sameer Ullah Khan India
Suneetha Amara United States
Linlin Lv relative to Deok Yong Sim South Korea Deok Yong Sim's profile →
Citations per field
00.5×1.5×
Deok Yong Sim · 1×
Citations per year

Countries citing papers authored by Linlin Lv

Since Specialization
Citations

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

Fields of papers citing papers by Linlin Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013100
2 202242
3 202342
4 202337
5 202225
6 202120
7 202318
8 202317
9 202216
10 202314
11 202311
12 202111
13 202310
14 202210
15 20239
16 20139
17 20238
18 20098
19 20217
20 20235

About Linlin Lv

Linlin Lv is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Organic Chemistry, having authored 30 papers that have together received 433 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Cancer-related gene regulation (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Quinazolinone synthesis and applications (2 papers), Pancreatitis Pathology and Treatment (2 papers), Cancer-related Molecular Pathways (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Cancer Research (73 citations), Oncology (93 citations), Molecular Biology (234 citations), Biological Psychiatry (8 citations) and Complementary and alternative medicine (25 citations). Linlin Lv has collaborated with scholars based in China. Frequent co-authors include Deshi Dong, Xiaohan Zhai, Huijian Wu, Xufeng Tao, Lingli Zheng, Yan Qi, Lina Xu, Xu Han, Lianhong Yin and Jinyong Peng. Their work appears in journals such as Biomedicine & Pharmacotherapy, Cell Death Discovery, RSC Advances, Cell Death and Disease and Frontiers in Oncology.

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.

Explore authors with similar magnitude of impact