Tao Lu

5.3k citations
116 papers · 4.1k indexed · 1 hit paper · h-index 38
Topics
NF-κB Signaling Pathways (26 papers)Cancer-related gene regulation (21 papers)Epigenetics and DNA Methylation (16 papers)
Partner nations
United StatesChinaSweden

In The Last Decade

Tao Lu

114 papers receiving 4.1k citations

Hit Papers

The Pivotal Role of NF-kB in the Pathogenesis and Therape...2022202620232024202250100150200

Peers

Tao Lu
Comparison fields: 5 of 129
  • Molecular Biology 2.8k
  • Oncology 928
  • Cancer Research 839
  • Immunology 538
  • Pathology and Forensic Medicine 283
Replace Dakang Xu with:
Dakang Xu Australia
Huan Ren China
Jeffrey F. Waring United States
Yuan Fang China
Oliver H. Krämer Germany
Joshua W. Modell United States
Jean Mosser France
Zhigang Hu China
Yoku Hayakawa Japan
Bo Yan China
Tao Lu relative to Dakang Xu Australia Dakang Xu's profile →
Citations per field
00.5×1.5×2.1×
Dakang Xu · 1×
Citations per year

Countries citing papers authored by Tao Lu

Since Specialization
Citations

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

Fields of papers citing papers by Tao Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tao Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Tao Lu. A scholar is included among the top collaborators of Tao 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 Tao Lu. Tao 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 1
2 5
3 7
4 1
5 8
6 2
7 3
8 1
9 6
10 5
11 17
12 5
13 27
14
Targeting microenvironment in cancer therapeutics
2
15 83
16
Role of post-translational modification of the Y box binding protein 1 in human cancers
1
17
[Clinical and pathologic characteristics of Erdheim-Chester disease].
1
18
The structure and function of LuxR-family regulators
1
19 6
20 155

About Tao Lu

Tao Lu is a scholar working on Cancer Research, Molecular Biology and Oncology, having authored 116 papers that have together received 4.1k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (26 papers), Cancer-related gene regulation (21 papers) and Epigenetics and DNA Methylation (16 papers). The work is most often cited by research in Cancer Research (839 citations), Molecular Biology (2.8k citations) and Oncology (928 citations). Tao Lu has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include George R. Stark, Rasika Mundade, Wei Han, Lakshmi Prabhu, Benlian Wang, Aishat Motolani, Matthew Martin, Masaru Miyagi, Emily Sun and Andrei V. Gudkov. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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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