Xin Lu

3.4k total citations · 1 hit paper
116 papers, 2.4k citations indexed

About

Xin Lu is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Xin Lu has authored 116 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 27 papers in Oncology and 24 papers in Epidemiology. Recurrent topics in Xin Lu's work include Hepatocellular Carcinoma Treatment and Prognosis (16 papers), RNA modifications and cancer (11 papers) and Cancer-related molecular mechanisms research (11 papers). Xin Lu is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (16 papers), RNA modifications and cancer (11 papers) and Cancer-related molecular mechanisms research (11 papers). Xin Lu collaborates with scholars based in China, United States and United Kingdom. Xin Lu's co-authors include Xinting Sang, Yilei Mao, Huayu Yang, Haitao Zhao, Shouxian Zhong, Jinhong Duan, Xian‐Da Yang, Yiyao Xu, Hongbing Zhang and Jiefu Huang and has published in prestigious journals such as New England Journal of Medicine, Nucleic Acids Research and Nature Communications.

In The Last Decade

Xin Lu

110 papers receiving 2.3k citations

Hit Papers

Evolutionary patterns and research frontiers in neoadjuva... 2023 2026 2024 2025 2023 25 50 75

Peers

Xin Lu
Comparison fields: 5 of 131
  • Molecular Biology 945
  • Oncology 514
  • Cancer Research 434
  • Epidemiology 412
  • Hepatology 394
Replace Guihua Chen with:
Guihua Chen China
Federica Genovese Denmark
Lu Cao China
Ruchi Bansal Netherlands
Nan Jiang China
Václav Liška Czechia
Sébastien Lepreux France
Shusen Zheng China
Masaaki Takamura Japan
Daniel C. Adelman United States
Guihua Chen China View profile →
Citations per field, relative to Xin Lu
Xin Lu · 1×
Citations per year, relative to Xin Lu
Xin Lu · 1×

Countries citing papers authored by Xin Lu

Since Specialization
Citations

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

Fields of papers citing papers by Xin Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Lu. A scholar is included among the top collaborators of Xin Lu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xin Lu. Xin Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 0
3 1
4 9
5
Evolutionary patterns and research frontiers in neoadjuvant immunotherapy: a bibliometric analysis breakdown →
92
6 4
7 7
8 6
9 7
10 51
11 16
12 14
13 5
14 9
15 2
16 20
17 18
18 55
19 4
20 1

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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