Lanzhen Yan

1.0k citations
16 papers · 727 · 1 hit paper · h-index 11

Impact in

Papers in

    • Cancer-related Molecular Pathways 2
    • Pancreatic and Hepatic Oncology Research 2
    • CRISPR and Genetic Engineering 3
    • RNA modifications and cancer 2
    • Ubiquitin and proteasome pathways 2

Lanzhen Yan

15 papers receiving 717 citations

Lanzhen Yan's Hit Papers

NKG2D-CAR T cells eliminate senescent cells in aged mice and nonhuman primates 2023 · 151 citations
1510+1+2Years since publication50100150

Peers

Lanzhen Yan
Comparison fields: 5 of 77
  • Reproductive Medicine 116
  • Aging 16
  • Oncology 139
  • Cancer Research 69
  • Genetics 139
Replace Gabriel L. Manske with:
Gabriel L. Manske United States
Sheng Ding China
Catherine T. Y. Nguyen United States
Yael Kalma Israel
Andrea L. Marat Canada
Liani Devito United Kingdom
Toshie Shinagawa Japan
Brian Reichholf Austria
Mieke Geens Belgium
Thorsten Boroviak United Kingdom
Lanzhen Yan relative to Gabriel L. Manske United States Gabriel L. Manske's profile →
Citations per field
00.5×1.5×2.1×
Gabriel L. Manske · 1×
Citations per year

Countries citing papers authored by Lanzhen Yan

Since Specialization
Citations

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

Fields of papers citing papers by Lanzhen Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
NKG2D-CAR T cells eliminate senescent cells in aged mice and nonhuman primates
Hit paper breakdown →
2023151
2 2019136
3 202195
4 201673
5 201854
6 201745
7 200537
8 201737
9 201930
10 201723
11 202321
12 201910
13 20166
14 20216
15 20213
16 20060

About Lanzhen Yan

Lanzhen Yan is a scholar working on Oncology, Molecular Biology, Immunology, Genetics and Aging, having authored 16 papers that have together received 727 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (3 papers), Reproductive Biology and Fertility (2 papers), RNA modifications and cancer (2 papers), Cancer-related Molecular Pathways (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Ubiquitin and proteasome pathways (2 papers), Animal Genetics and Reproduction (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Reproductive Medicine (116 citations), Aging (16 citations), Oncology (139 citations), Cancer Research (69 citations) and Genetics (139 citations). Lanzhen Yan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xudong Zhao, Bin Sun, Dong Yang, Nan Liu, Wenwen Wei, Yibin Deng, Shirong Li, Xiuyun Liu, Xiaoyue Cui and Xianning Zhang. Their work appears in journals such as Nature Communications, Theranostics, Journal of Hematology & Oncology, Cancer Research and Cell.

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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