Cai Lv

482 citations
20 papers · 304 · h-index 9

Impact in

Papers in

Cai Lv

20 papers receiving 301 citations

Peers

Cai Lv
Comparison fields: 5 of 49
  • Cancer Research 89
  • Pulmonary and Respiratory Medicine 118
  • Endocrinology, Diabetes and Metabolism 51
  • Reproductive Medicine 23
  • Molecular Biology 164
Replace Xueke You with:
Xueke You United States
Miao Lu China
Samornmas Kanngurn Thailand
Valerie Stone Hawthorne United States
Anke Meyer Germany
María Roqué Argentina
Piotr Popławski Poland
W. Kang South Korea
Aleksandra Pfeifer Poland
Delphine Guillotin United Kingdom
Cai Lv relative to Xueke You United States Xueke You's profile →
Citations per field
00.5×4.8×
Xueke You · 1×
Citations per year

Countries citing papers authored by Cai Lv

Since Specialization
Citations

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

Fields of papers citing papers by Cai Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201174
2 201957
3 201938
4 201938
5 201021
6 202016
7 20189
8 20238
9 20208
10 20196
11 20235
12
[Elevated substance P content in sputum and plasma in patients with COPD and its relationship with FEV1/FVC].
20005
13 20244
14
[Clinical and experimental study on the treatment of endometriosis with dan'e mixture].
19994
15 20224
16 20242
17 20232
18 20231
19 20091
20
[A pathological survey of the therapeutic effect on experimental hypoxic-ischemic encephalopathy].
19961

About Cai Lv

Cai Lv is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Reproductive Medicine and Public Health, Environmental and Occupational Health, having authored 20 papers that have together received 304 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (6 papers), Renal cell carcinoma treatment (6 papers), Renal and related cancers (4 papers), Epigenetics and DNA Methylation (3 papers), Cancer-related molecular mechanisms research (3 papers), Endometriosis Research and Treatment (3 papers), MicroRNA in disease regulation (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). The work is most often cited by research in Cancer Research (89 citations), Pulmonary and Respiratory Medicine (118 citations), Endocrinology, Diabetes and Metabolism (51 citations), Reproductive Medicine (23 citations) and Molecular Biology (164 citations). Cai Lv has collaborated with scholars based in China, Japan and Australia. Frequent co-authors include Bangbei Wan, Yuan Huang, Bo Liu, Gang Yu, Likui Lu, Saishu Yoshida, Yukio Kato, T. Kato, Kinji Inoue and Takao Susa. Their work appears in journals such as PeerJ, Aging, Human Reproduction, Andrology and Cellular and Molecular Life Sciences.

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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