Le Tao

1.6k citations
31 papers · 828 · h-index 18

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Hepatology top 10%
    • Liver physiology and pathology

Papers in

    • Bladder and Urothelial Cancer Treatments 4
    • Pediatric Hepatobiliary Diseases and Treatments 3
    • RNA modifications and cancer 3

Le Tao

31 papers receiving 820 citations

Peers

Le Tao
Comparison fields: 5 of 81
  • Cancer Research 349
  • Hepatology 78
  • Molecular Biology 502
  • Reproductive Medicine 58
  • Oncology 87
Replace Mohammad Arafa with:
Mohammad Arafa Egypt
Xueshuai Wan China
Gonzalo Carrasco-Aviño Chile
Minjie Mao China
Yifeng Tao China
Inuk Zandvakili United States
Agnieszka Adamek Poland
Suet‐Ying Kwan United States
Elizabeth Pang Hong Kong
Le Tao relative to Mohammad Arafa Egypt Mohammad Arafa's profile →
Citations per field
00.5×2.9×
Mohammad Arafa · 1×
Citations per year

Countries citing papers authored by Le Tao

Since Specialization
Citations

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

Fields of papers citing papers by Le Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013129
2 2021104
3 201463
4 201845
5 201844
6 201943
7 201643
8 201738
9 201534
10 201832
11 201629
12 201426
13
Potential role for phosphatidic acid in mediating the inflammatory responses to TNF alpha and IL-1 beta.
199425
14
The effect of zidovudine on platelet count in HIV-infected individuals.
199023
15 201822
16 201520
17 202019
18 201618
19 201910
20 201710

About Le Tao

Le Tao is a scholar working on Surgery, Molecular Biology, Epidemiology, Hepatology and Cancer Research, having authored 31 papers that have together received 828 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (9 papers), Liver Disease and Transplantation (6 papers), Liver physiology and pathology (5 papers), Bladder and Urothelial Cancer Treatments (4 papers), Cancer-related molecular mechanisms research (3 papers), RNA modifications and cancer (3 papers), Pediatric Hepatobiliary Diseases and Treatments (3 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (349 citations), Hepatology (78 citations), Molecular Biology (502 citations), Reproductive Medicine (58 citations) and Oncology (87 citations). Le Tao has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jianxin Qiu, Jifu Ge, Zhihong Liu, Jun Wang, Dongliang Xu, Erdun Bao, Mingyue Tan, Yigang Zeng, Juntao Jiang and Wei Wang. Their work appears in journals such as Cellular Physiology and Biochemistry, Biochemical and Biophysical Research Communications, Molecular Cancer Therapeutics, Journal of Cellular Biochemistry and Scientific Reports.

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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