X. Li

711 citations
22 papers · 550 · h-index 9

Impact in

Papers in

    • DNA Repair Mechanisms 1
    • Pancreatic function and diabetes 2
    • Infectious Aortic and Vascular Conditions 1

X. Li

21 papers receiving 534 citations

Peers

X. Li
Comparison fields: 5 of 75
  • Molecular Medicine 53
  • Insect Science 91
  • Plant Science 170
  • Endocrinology 22
  • Pathology and Forensic Medicine 66
Replace Kouji Hirao with:
Kouji Hirao Japan
Jatindra Nath Mohanty India
Noor Muhammad Pakistan
Rongya Yang China
Ji Young Choi South Korea
Emma Caraher Ireland
Zhen Zhu China
José Francisco Zambrano‐Zaragoza Mexico
Bingxin Xu China
X. Li relative to Kouji Hirao Japan Kouji Hirao's profile →
Citations per field
00.5×5.2×
Kouji Hirao · 1×
Citations per year

Countries citing papers authored by X. Li

Since Specialization
Citations

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

Fields of papers citing papers by X. Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001198
2 201693
3 200958
4 201155
5 201733
6 200421
7 201321
8 202421
9 201611
10 20106
11 20256
12 19926
13 20165
14 20254
15 20163
16 20262
17 20252
18 20222
19 20201
20 20251

About X. Li

X. Li is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Rheumatology and Endocrinology, Diabetes and Metabolism, having authored 22 papers that have together received 550 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (2 papers), Diabetes Management and Research (1 paper), DNA Repair Mechanisms (1 paper), Advanced Battery Technologies Research (1 paper), Ferroptosis and cancer prognosis (1 paper), Vascular Procedures and Complications (1 paper), Aortic Disease and Treatment Approaches (1 paper) and Infectious Aortic and Vascular Conditions (1 paper). The work is most often cited by research in Molecular Medicine (53 citations), Insect Science (91 citations), Plant Science (170 citations), Endocrinology (22 citations) and Pathology and Forensic Medicine (66 citations). X. Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhengdong Huang, Guangcun He, Haoran Liu, Zhaomin Zheng, Jianru Wang, Hao Yang, Zhonghai Li, Hongbo Pan, H. Wang and Zuojun Hu. Their work appears in journals such as European Journal of Vascular and Endovascular Surgery, Cell Death and Disease, Journal of Antimicrobial Chemotherapy, Human Molecular Genetics and Brazilian Journal of Medical and Biological Research.

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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