Cong Mai

703 citations
27 papers · 528 · h-index 13

Impact in

    • Hepatocellular Carcinoma Treatment and Prognosis
  • Nephrology top 10%
    • Acute Kidney Injury Research

Papers in

Cong Mai

25 papers receiving 511 citations

Peers

Cong Mai
Comparison fields: 5 of 76
  • Hepatology 45
  • Nephrology 49
  • Clinical Biochemistry 20
  • Molecular Medicine 25
  • Cancer Research 48
Replace Gwon‐Soo Jung with:
Gwon‐Soo Jung South Korea
Hideyuki Higashi United States
Asif Ansari United Kingdom
Tomomi Hashidate‐Yoshida Japan
J Petrtýl Czechia
Yumei Liang China
Vivien Platt United Kingdom
Yao He China
Yangzhige He China
Simone Serafini Italy
Cong Mai relative to Gwon‐Soo Jung South Korea Gwon‐Soo Jung's profile →
Citations per field
00.5×2×3×4×
Gwon‐Soo Jung · 1×
Citations per year

Countries citing papers authored by Cong Mai

Since Specialization
Citations

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

Fields of papers citing papers by Cong Mai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202177
2 202467
3 201757
4 201346
5 202342
6 201636
7 201432
8 201721
9 201418
10 201415
11 202315
12 202214
13 201413
14 201413
15 202312
16 201711
17 202310
18 20247
19
XRCC1 Arg194Trp and Arg399Gln polymorphisms and risk of extrahepatic cholangiocarcinoma: a hospital-based case-control study in China.
20155
20 20185

About Cong Mai

Cong Mai is a scholar working on Pulmonary and Respiratory Medicine, Hepatology, Genetics, Geriatrics and Gerontology and Oncology, having authored 27 papers that have together received 528 indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Aortic aneurysm repair treatments (3 papers), Mesenchymal stem cell research (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), Extracellular vesicles in disease (2 papers), Photoacoustic and Ultrasonic Imaging (2 papers) and Aortic Disease and Treatment Approaches (2 papers). The work is most often cited by research in Hepatology (45 citations), Nephrology (49 citations), Clinical Biochemistry (20 citations), Molecular Medicine (25 citations) and Cancer Research (48 citations). Cong Mai has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Yunqiang Tang, Yuanfeng Gong, Yadi Liao, Tiejun Chen, Hui Tang, Yi Zhang, Wei Jin, Xin Li, Jun Ma and Bai‐Ou Guan. Their work appears in journals such as Medical Oncology, Nutrients, Cancer Management and Research, Cardiovascular Toxicology and Animal Cells and Systems.

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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