Ling Long

984 citations
48 papers · 709 · h-index 14

Impact in

Papers in

Ling Long

43 papers receiving 691 citations

Peers

Ling Long
Comparison fields: 5 of 130
  • Reproductive Medicine 161
  • Biomaterials 83
  • Clinical Psychology 113
  • Geriatrics and Gerontology 17
  • Pediatrics, Perinatology and Child Health 84
Replace Xingxing Zhang with:
Xingxing Zhang China
Yanting Wu China
Biao Chen China
Hongjin Li United States
Seo‐Young Park South Korea
Shibin Wang China
T. K. Sarkar India
Ling Long relative to Xingxing Zhang China Xingxing Zhang's profile →
Citations per field
00.5×2.8×
Xingxing Zhang · 1×
Citations per year

Countries citing papers authored by Ling Long

Since Specialization
Citations

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

Fields of papers citing papers by Ling Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013124
2 201579
3 201666
4 201759
5 201954
6 201735
7
TFRC promotes epithelial ovarian cancer cell proliferation and metastasis via up-regulation of AXIN2 expression.
202035
8 202429
9 202120
10 202016
11 201915
12 202414
13 202114
14 202313
15 199412
16 202111
17 199211
18 201910
19 202210
20 20189

About Ling Long

Ling Long is a scholar working on Reproductive Medicine, Biomedical Engineering, Molecular Biology, Public Health, Environmental and Occupational Health and Pathology and Forensic Medicine, having authored 48 papers that have together received 709 indexed citations. Recurring topics across this work include Reproductive Health and Technologies (5 papers), Nanoplatforms for cancer theranostics (4 papers), Isotope Analysis in Ecology (4 papers), Mercury impact and mitigation studies (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Marine and coastal ecosystems (3 papers), Ovarian cancer diagnosis and treatment (3 papers) and Reproductive Biology and Fertility (3 papers). The work is most often cited by research in Reproductive Medicine (161 citations), Biomaterials (83 citations), Clinical Psychology (113 citations), Geriatrics and Gerontology (17 citations) and Pediatrics, Perinatology and Child Health (84 citations). Ling Long has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Man Li, Wei He, Jing Li, Tao Wang, Peng Li, Yongju Yu, Long Chen, Xing Zhou, Rongkai Xie and Xiaohui Li. Their work appears in journals such as Scientific Reports, ACS Applied Materials & Interfaces, Environmental Science & Technology, Journal of Nanobiotechnology and Frontiers in Microbiology.

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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