Lingli Long

36 papers receiving 978 citations

Peers

Lingli Long
Comparison fields: 5 of 111
  • Reproductive Medicine 115
  • Developmental Neuroscience 35
  • Pharmaceutical Science 48
  • Obstetrics and Gynecology 37
  • Immunology 104
Replace Seyed Noureddin Nematollahi‐Mahani with:
Seyed Noureddin Nematollahi‐Mahani Iran
Vishal Chavda India
Norshariza Nordin Malaysia
Fangfang Liu China
Lingli Chen China
Zhenni Zhang China
Carol D. Swartz United States
Ji-Min Cao China
Hye Sun Kim South Korea
Abolfazl Golestani Iran
Lingli Long relative to Seyed Noureddin Nematollahi‐Mahani Iran Seyed Noureddin Nematollahi‐Mahani's profile →
Citations per field
00.5×4.6×
Seyed Noureddin Nematollahi‐Mahani · 1×
Citations per year

Countries citing papers authored by Lingli Long

Since Specialization
Citations

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

Fields of papers citing papers by Lingli Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020142
2 201884
3 201780
4 201565
5 201959
6 201952
7 201949
8 202146
9 201436
10 201935
11 201933
12 201530
13 202030
14 201529
15 201923
16 202122
17 201819
18 202318
19 202016
20 201516

About Lingli Long

Lingli Long is a scholar working on Molecular Biology, Reproductive Medicine, Surgery, Immunology and Cellular and Molecular Neuroscience, having authored 37 papers that have together received 989 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (3 papers), Endometriosis Research and Treatment (2 papers), Hormonal and reproductive studies (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Immune cells in cancer (2 papers), Nerve injury and regeneration (2 papers), Spinal Cord Injury Research (2 papers) and Physiological and biochemical adaptations (2 papers). The work is most often cited by research in Reproductive Medicine (115 citations), Developmental Neuroscience (35 citations), Pharmaceutical Science (48 citations), Obstetrics and Gynecology (37 citations) and Immunology (104 citations). Lingli Long has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Mao‐Long Chen, Yunhui Cheng, Zhou Xu, Yubin Li, Xiaofang Lu, Yanqiu Chen, Shuhui Zheng, Canqiao Luo, Ningning Chen and Ying Tuo. Their work appears in journals such as Oncotarget, American Journal of Physiology-Lung Cellular and Molecular Physiology, Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology, Food Chemistry and Journal of Nanobiotechnology.

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.

Explore authors with similar magnitude of impact