Ling Long

817 citations
38 papers · 561 · h-index 13

Impact in

Papers in

Ling Long

34 papers receiving 548 citations

Peers

Ling Long
Comparison fields: 5 of 113
  • Reproductive Medicine 129
  • Biomaterials 75
  • Clinical Psychology 88
  • Applied Psychology 12
  • Cancer Research 34
Replace Lei Yan with:
Lei Yan China
Mina Jafarabadi Iran
Isabelle Martineau Canada
Jiedong Wang China
Kuang‐Ho Chen Taiwan
Ming‐Yi Huang United States
Matthew Topel United States
Fatemeh Jafari Iran
Mengdie Li China
Chee Wai Ku Singapore
Ling Long relative to Lei Yan China Lei Yan's profile →
Citations per field
00.5×10×20×27×
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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 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013126
2 201580
3 201956
4 201736
5
TFRC promotes epithelial ovarian cancer cell proliferation and metastasis via up-regulation of AXIN2 expression.
202036
6 202433
7 202122
8 202016
9 201915
10 202114
11 202213
12 202413
13 202313
14 202111
15 201910
16 20189
17 20239
18 20248
19 20257
20
Experimental studies on the mechanics and acoustics of tight carbonate rock
20085

About Ling Long

Ling Long is a scholar working on Reproductive Medicine, Biomedical Engineering, Molecular Biology, Ecology and Immunology, having authored 38 papers that have together received 561 indexed citations. Recurring topics across this work include Reproductive Health and Technologies (5 papers), Isotope Analysis in Ecology (4 papers), Nanoplatforms for cancer theranostics (4 papers), Ovarian cancer diagnosis and treatment (3 papers), Marine and coastal ecosystems (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Mercury impact and mitigation studies (3 papers) and Bone health and osteoporosis research (2 papers). The work is most often cited by research in Reproductive Medicine (129 citations), Biomaterials (75 citations), Clinical Psychology (88 citations), Applied Psychology (12 citations) and Cancer Research (34 citations). Ling Long has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Man Li, Wei He, Jing Li, Peng Li, Tao Wang, Long Chen, Yongju Yu, Xing Zhou, Xiaohui Li and Yongyao Lin. Their work appears in journals such as Environmental Science & Technology, Journal of Nanobiotechnology, Environmental Pollution, Journal of Trace Elements in Medicine and Biology and Disease Markers.

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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