Xiao‐Feng He

1.5k citations
97 papers · 1.1k · h-index 22

Impact in

Papers in

Xiao‐Feng He

93 papers receiving 1.1k citations

Peers

Xiao‐Feng He
Comparison fields: 5 of 88
  • Hepatology 103
  • Obstetrics and Gynecology 73
  • Cancer Research 131
  • Oncology 184
  • Molecular Biology 415
Replace Juliane Hoffmann with:
Juliane Hoffmann Germany
Gustavo Aroca Colombia
Alejandra Romero Spain
Naoka Murakami United States
Hirotaka Fukasawa Japan
Shaokun Chuai United States
Florian Bösch Germany
Ian G. Kerr Canada
Kiminobu Arima Japan
Xiao‐Feng He relative to Juliane Hoffmann Germany Juliane Hoffmann's profile →
Citations per field
00.5×2.9×
Juliane Hoffmann · 1×
Citations per year

Countries citing papers authored by Xiao‐Feng He

Since Specialization
Citations

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

Fields of papers citing papers by Xiao‐Feng He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiao‐Feng He. 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 Xiao‐Feng He. The network helps show where Xiao‐Feng He may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201378
2 202056
3 201540
4 201134
5
A comparative study of damage to liver function after TACE with use of low-dose versus conventional-dose of anticancer drugs in hepatocellular carcinoma.
200732
6 201331
7
Combination of Transarterial Chemoembolization (TACE) and Radiofrequency Ablation (RFA) vs. Surgical Resection (SR) on Survival Outcome of Early Hepatocellular Carcinoma: A Meta-Analysis.
201531
8 201330
9 201428
10 201927
11 201126
12 201125
13 202224
14 202423
15 201223
16 201323
17 201322
18 201121
19 201221
20 201421

About Xiao‐Feng He

Xiao‐Feng He is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Oncology and Genetics, having authored 97 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glutathione Transferases and Polymorphisms (15 papers), DNA Repair Mechanisms (10 papers), BRCA gene mutations in cancer (7 papers), Folate and B Vitamins Research (6 papers), RNA modifications and cancer (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Pharmacogenetics and Drug Metabolism (5 papers) and Gastric Cancer Management and Outcomes (5 papers). The work is most often cited by research in Hepatology (103 citations), Obstetrics and Gynecology (73 citations), Cancer Research (131 citations), Oncology (184 citations) and Molecular Biology (415 citations). Xiao‐Feng He has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Jiao Su, Dapeng Ding, Xianghua Ye, Yuanhao Liang, Xuliang Shen, Ying Zhang, Zhizhong Liu, Yanhao Li, Jie Zhang and Haiying Yan. Their work appears in journals such as PLoS ONE, Frontiers in Genetics, Medicine, Molecular Biology Reports and Tumor Biology.

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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