Fang Lv

4.1k citations
176 papers · 2.5k indexed · h-index 28

Impact in

Papers in

Fang Lv

163 papers receiving 2.5k citations

Peers

Fang Lv
Comparison fields: 5 of 155
  • Cancer Research 331
  • Orthopedics and Sports Medicine 159
  • Reproductive Medicine 150
  • Endocrinology, Diabetes and Metabolism 250
  • Oncology 354
Replace Zengli Zhang with:
Zengli Zhang China
Min Yao China
Zohreh Rahimi Iran
Min Joo Kim South Korea
Raymond Poon Canada
Qiang Zeng China
Zhiping Huang China
Mei Hong China
Qiong Wang China
Shaohua Wang China
Fang Lv relative to Zengli Zhang China Zengli Zhang's profile →
Citations per field
00.5×1.5×2.3×
Zengli Zhang · 1×
Citations per year

Countries citing papers authored by Fang Lv

Since Specialization
Citations

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

Fields of papers citing papers by Fang Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20250
5 20243
6 20249
7 20246
8 202411
9 20244
10 202318
11 20234
12 202341
13
A Factor Analysis Model for Rapid Evaluation of the Semen Quality of Fertile Men in China
20221
14 202253
15 201910
16 201711
17 20164
18 20148
19
CHINA RENEWABLE ENERGY STATUS AND PROSPECTIVE DURING THE TWELFTH FIVE-YEAR PLAN (2011-2015)
20113
20
Comparative Study on Chlorophyll Fluorescence Character of Five Kinds of Camellia
20031

About Fang Lv

Fang Lv is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Microbiology, Oncology and Rheumatology, having authored 176 papers that have together received 2.5k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (24 papers), Connective tissue disorders research (18 papers), Diabetes Management and Research (9 papers), Bone and Dental Protein Studies (9 papers), Cancer Immunotherapy and Biomarkers (8 papers), Metabolism, Diabetes, and Cancer (8 papers), Bone health and treatments (7 papers) and Cancer-related molecular mechanisms research (7 papers). The work is most often cited by research in Cancer Research (331 citations), Orthopedics and Sports Medicine (159 citations), Reproductive Medicine (150 citations), Endocrinology, Diabetes and Metabolism (250 citations) and Oncology (354 citations). Fang Lv has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiaoling Cai, Linong Ji, Chu Lin, Wenjia Yang, Yan Jiang, Weibo Xia, Xiaoping Xing, Rongji Dai, Yulin Deng and Ou Wang. Their work appears in journals such as Osteoporosis International, Clinica Chimica Acta, Frontiers in Endocrinology, Journal of Asian Natural Products Research and Pharmacological 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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