Xiaofeng Lv

1.7k citations
83 papers · 1.1k · h-index 20

Impact in

Papers in

Xiaofeng Lv

75 papers receiving 1.1k citations

Peers

Xiaofeng Lv
Comparison fields: 5 of 143
  • Endocrinology, Diabetes and Metabolism 387
  • Cancer Research 152
  • Nutrition and Dietetics 99
  • Biochemistry 37
  • Surgery 257
Replace Sílvia Canivell with:
Sílvia Canivell Spain
Stefan Blankenberg Germany
Constantine E. Kosmas United States
Carlos O. Mendivil Colombia
Bogdan Solnica Poland
Ji Hu China
Thomas F. Whayne United States
Xiaohong Lin China
Itamar Grosskopf Israel
Anna P. Pilbrow New Zealand
Xiaofeng Lv relative to Sílvia Canivell Spain Sílvia Canivell's profile →
Citations per field
00.5×3.1×
Sílvia Canivell · 1×
Citations per year

Countries citing papers authored by Xiaofeng Lv

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofeng Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201977
2 201271
3 201463
4 201257
5 202254
6 201242
7 201341
8 201240
9 201637
10 201633
11 201528
12 201428
13 201526
14 201724
15 201624
16 201223
17 202322
18 202022
19 201921
20 201620

About Xiaofeng Lv

Xiaofeng Lv is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Genetics and Nutrition and Dietetics, having authored 83 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes Management and Research (18 papers), Metabolism, Diabetes, and Cancer (12 papers), Diabetes Treatment and Management (12 papers), Clinical Nutrition and Gastroenterology (7 papers), Diabetes and associated disorders (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Infant Nutrition and Health (4 papers) and Genetic Associations and Epidemiology (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (387 citations), Cancer Research (152 citations), Nutrition and Dietetics (99 citations), Biochemistry (37 citations) and Surgery (257 citations). Xiaofeng Lv has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Xingguang Zhang, Wenying Yang, Zhaoping Li, Yanjun Liu, Xin Wang, Weibing Tang, Weiwei Jiang, Yuanyuan Li, Jun Liang and Hengjin Dong. Their work appears in journals such as Journal of Diabetes, Current Medical Research and Opinion, Scientific Reports, Diabetes Technology & Therapeutics and Pediatric Surgery International.

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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