Lanzhen Yan

961 citations
15 papers · 517 · 1 hit paper · h-index 11

Impact in

Papers in

    • CRISPR and Genetic Engineering 4
    • Single-cell and spatial transcriptomics 2
    • Epigenetics and DNA Methylation 2
    • Pancreatic and Hepatic Oncology Research 3
    • CAR-T cell therapy research 2
    • Cancer-related Molecular Pathways 2

Lanzhen Yan

14 papers receiving 512 citations

Lanzhen Yan's Hit Papers

NKG2D-CAR T cells eliminate senescent cells in aged mice and nonhuman primates 2023 · 114 citations
1140+1+2Years since publication255075100

Peers

Lanzhen Yan
Comparison fields: 5 of 70
  • Aging 18
  • Oncology 136
  • Cancer Research 67
  • Immunology 94
  • Molecular Biology 294
Replace Ilse G.L. Pauli with:
Ilse G.L. Pauli Belgium
Cristina Claverı́a Spain
Walter Carbone Switzerland
Tamara Riedt Germany
Satnam S. Banga United States
Néstor Saiz United States
Ivan Bedzhov Germany
Karim Chébli France
Tae‐Aug Kim United States
Takeshi Asakura Japan
Lanzhen Yan relative to Ilse G.L. Pauli Belgium Ilse G.L. Pauli's profile →
Citations per field
00.5×10×15×20.4×
Ilse G.L. Pauli · 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

15 of 15 papers shown
#Work
1
NKG2D-CAR T cells eliminate senescent cells in aged mice and nonhuman primates
Hit paper breakdown →
2023114
2 202173
3 201661
4 201852
5 201743
6 201737
7 200534
8 201928
9 201822
10 201720
11 202316
12 20199
13 20165
14 20213
15 20060

About Lanzhen Yan

Lanzhen Yan is a scholar working on Molecular Biology, Oncology, Surgery, Immunology and Genetics, having authored 15 papers that have together received 517 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Pancreatic function and diabetes (2 papers), Single-cell and spatial transcriptomics (2 papers), CAR-T cell therapy research (2 papers), Epigenetics and DNA Methylation (2 papers), Immune Cell Function and Interaction (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Aging (18 citations), Oncology (136 citations), Cancer Research (67 citations), Immunology (94 citations) and Molecular Biology (294 citations). Lanzhen Yan has collaborated with scholars based in China and United States. Frequent co-authors include Xudong Zhao, Bin Sun, Dong Yang, Qiu Tu, Nan Liu, Xianning Zhang, Xiuyun Liu, Wenwen Wei, Xiaoyue Cui and Yibin Deng. Their work appears in journals such as Cell Research, Nature Communications, Disease Models & Mechanisms, Theranostics 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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