Xin Lü

21.5k citations
204 papers · 14.0k indexed · 3 hit papers · h-index 58

Impact in

  • Oncology top 0.1%
    • Cancer-related Molecular Pathways
  • Biotechnology top 0.1%
    • Cancer Research and Treatments

Papers in

Xin Lü

195 papers receiving 13.8k citations

Hit Papers

Live or let die: the cell's response to p53 2002 · 2.6k citations
2.6k199320262004201550010001.5k2.0k2.5k

Peers

Xin Lü
Comparison fields: 5 of 155
  • Oncology 7.2k
  • Biotechnology 1.5k
  • Cancer Research 2.3k
  • Molecular Biology 9.6k
  • Cell Biology 1.7k
Replace Jiandong Chen with:
Jiandong Chen United States
Ute M. Moll United States
Giannino Del Sal Italy
Giovanni Blandino Italy
Andrew Koff United States
Joyce M. Slingerland United States
Jun‐ya Kato Japan
Guillermina Lozano United States
Joanna Roberts New Zealand
Allan Balmain United States
Xin Lü relative to Jiandong Chen United States Jiandong Chen's profile →
Citations per field
00.5×1.7×
Jiandong Chen · 1×
Citations per year

Countries citing papers authored by Xin Lü

Since Specialization
Citations

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

Fields of papers citing papers by Xin Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20250
5 20243
6 202418
7 202314
8 20232
9 202313
10 20236
11 20228
12 202247
13 202042
14 20187
15 20169
16 201448
17 201337
18 20139
19 201163
20 1999139

About Xin Lü

Xin Lü is a scholar working on Biotechnology, Oncology, Molecular Biology, Cancer Research and Cell Biology, having authored 204 papers that have together received 14.0k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (88 papers), Cancer Research and Treatments (33 papers), Ubiquitin and proteasome pathways (31 papers), Epigenetics and DNA Methylation (24 papers), Cell death mechanisms and regulation (19 papers), Cancer, Hypoxia, and Metabolism (13 papers), RNA modifications and cancer (12 papers) and DNA Repair Mechanisms (9 papers). The work is most often cited by research in Oncology (7.2k citations), Biotechnology (1.5k citations), Cancer Research (2.3k citations), Molecular Biology (9.6k citations) and Cell Biology (1.7k citations). Xin Lü has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Karen H. Vousden, Daniel O’Connor, Elizabeth A. Slee, Daniele Bergamaschi, Shan Zhong, Giuseppe Trigiante, Tim Crook, Jung-Kuang Hsieh, Christophe Royer and S Fredersdorf. Their work appears in journals such as Proceedings of the National Academy of Sciences, Oncogene, Cell Death and Differentiation, Nature Communications 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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