Xinghua Lu

5.3k citations
151 papers · 2.4k indexed · h-index 28
Topics
Bioinformatics and Genomic Networks (34 papers)Gene expression and cancer classification (24 papers)Pancreatic and Hepatic Oncology Research (15 papers)
Partner nations
United StatesChinaTaiwan

In The Last Decade

Xinghua Lu

144 papers receiving 2.4k citations

Peers

Xinghua Lu
Comparison fields: 5 of 160
  • Molecular Biology 1.3k
  • Artificial Intelligence 423
  • Oncology 383
  • Cancer Research 350
  • Surgery 205
Replace John V. Pearson with:
John V. Pearson Australia
Wilson Wen Bin Goh Singapore
Mickaël Guedj France
James C. Costello United States
Michael Krauthammer United States
Guanghua Xiao United States
Laura M. Heiser United States
Alexander Aliper Russia
Hyunju Lee South Korea
Nehmé El-Hachem Canada
Xinghua Lu relative to John V. Pearson Australia John V. Pearson's profile →
Citations per field
00.5×1.5×2.3×
John V. Pearson · 1×
Citations per year

Countries citing papers authored by Xinghua Lu

Since Specialization
Citations

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

Fields of papers citing papers by Xinghua Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinghua Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Xinghua Lu. A scholar is included among the top collaborators of Xinghua 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 Xinghua Lu. Xinghua 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
#WorkIndexed citations
1 2
2 1
3 1
4 12
5 18
6 5
7 3
8 6
9 101
10
Predicting Drug Sensitivity of Cancer Cell Lines via Collaborative Filtering with Contextual Attention
1
11 17
12 2
13 112
14 6
15 3
16 75
17 32
18 1
19 25
20
Establishment of a risk model based on study of risk factors for pancreatic cancer
1

About Xinghua Lu

Xinghua Lu is a scholar working on Cancer Research, Molecular Biology and Oncology, having authored 151 papers that have together received 2.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (34 papers), Gene expression and cancer classification (24 papers) and Pancreatic and Hepatic Oncology Research (15 papers). The work is most often cited by research in Health Informatics (73 citations), Cancer Research (350 citations) and Molecular Biology (1.3k citations). Xinghua Lu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Lujia Chen, Qiao Jin, Bhuwan Dhingra, William Cohen, Zheng­ping Liu, Chunhui Cai, Bin Zheng, Vicky Chen, Gregory F. Cooper and Songjian Lu. Their work appears in journals such as Journal of the American Chemical Society, Nucleic Acids Research and Nature Communications.

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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