Xiaohua Gao

3.9k citations
94 papers · 3.1k indexed · h-index 29

Xiaohua Gao

91 papers receiving 3.0k citations

Peers

Xiaohua Gao
Comparison fields: 5 of 117
  • Molecular Medicine 515
  • Toxicology 254
  • Geriatrics and Gerontology 221
  • Rehabilitation 272
  • Genetics 342
Replace Constanze Buhrmann with:
Constanze Buhrmann Germany
Dharmalingam Subramaniam United States
Shireen Vali United States
Tzong‐Der Way Taiwan
Ganesan Padmavathi India
Sung‐Kwon Moon South Korea
Min Ho Han South Korea
Chiao‐Wen Lin Taiwan
Wahn Soo Choi South Korea
Jaya P. Gaddipati United States
Xiaohua Gao relative to Constanze Buhrmann Germany Constanze Buhrmann's profile →
Citations per field
00.5×5.7×
Constanze Buhrmann · 1×
Citations per year

Countries citing papers authored by Xiaohua Gao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohua Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20247
4 20241
5 20234
6 20230
7 20236
8 20223
9 20229
10 20224
11 20219
12 20211
13 20215
14 20205
15
Role of telomerase in anticancer activity of pristimerin in prostate cancer cells
201513
16
Anticancer activity of pristimerin in ovarian carcinoma cells is mediated through the inhibition of prosurvival Akt/NF-κB/mTOR signaling.
201423
17 200913
18 200990
19 2008149
20 200781

About Xiaohua Gao

Xiaohua Gao is a scholar working on Toxicology, Molecular Medicine and Cancer Research, having authored 94 papers that have together received 3.1k indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (18 papers), Bioactive Compounds and Antitumor Agents (17 papers), Natural product bioactivities and synthesis (14 papers), Cell death mechanisms and regulation (9 papers), Curcumin's Biomedical Applications (9 papers), Natural Compounds in Disease Treatment (7 papers), PI3K/AKT/mTOR signaling in cancer (6 papers) and Telomeres, Telomerase, and Senescence (6 papers). The work is most often cited by research in Molecular Medicine (515 citations), Toxicology (254 citations) and Geriatrics and Gerontology (221 citations). Xiaohua Gao has collaborated with scholars based in United States, China and South Africa. Frequent co-authors include Subhash C. Gautam, Dorrah Deeb, Scott A. Dulchavsky, Robert Chapman, Hao Jiang, Yongbo Liu, Ali S. Arbab, George Divine, Nalini Janakiraman and Yong Xu. Their work appears in journals such as International Journal of Oncology, Biochemical Pharmacology, Pediatric Allergy and Immunology, Molecules and Cancers.

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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