Lingling Geng

1.9k citations
18 papers · 913 · h-index 14

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
    • Advanced biosensing and bioanalysis techniques
    • Single-cell and spatial transcriptomics
    • RNA Interference and Gene Delivery

Papers in

    • Glycosylation and Glycoproteins Research 4
    • Advanced Biosensing Techniques and Applications 4
    • DNA Repair Mechanisms 2
    • Chemical Synthesis and Analysis 2
    • ATP Synthase and ATPases Research 2
    • Monoclonal and Polyclonal Antibodies Research 6

Lingling Geng

18 papers receiving 909 citations

Peers

Lingling Geng
Comparison fields: 5 of 99
  • Aging 87
  • Molecular Biology 528
  • Geriatrics and Gerontology 23
  • Biomaterials 83
  • Physiology 136
Replace Min Qian with:
Min Qian China
Mohamed Kodiha Canada
Justine Stehn Australia
Tomoko Yaguchi Japan
Guillaume Montagnac France
Zheng Hu China
Misook Oh United States
Jiwon V. Park United States
Zeenia Kaul Japan
Lingling Geng relative to Min Qian China Min Qian's profile →
Citations per field
00.5×4.3×
Min Qian · 1×
Citations per year

Countries citing papers authored by Lingling Geng

Since Specialization
Citations

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

Fields of papers citing papers by Lingling Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2020244
2 201893
3 201693
4 201672
5 201959
6 201550
7 201648
8 201442
9 202339
10 202339
11 201536
12 201329
13 201025
14 201716
15 201411
16 201211
17 20154
18 20182

About Lingling Geng

Lingling Geng is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Physiology and Cancer Research, having authored 18 papers that have together received 913 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), Glycosylation and Glycoproteins Research (4 papers), Advanced Biosensing Techniques and Applications (4 papers), DNA Repair Mechanisms (2 papers), Chemical Synthesis and Analysis (2 papers), HER2/EGFR in Cancer Research (2 papers), ATP Synthase and ATPases Research (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). The work is most often cited by research in Aging (87 citations), Molecular Biology (528 citations), Geriatrics and Gerontology (23 citations), Biomaterials (83 citations) and Physiology (136 citations). Lingling Geng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Qiaojun Fang, Jing Qu, Zihua Wang, Zhiyuan Hu, Weiqi Zhang, Guang‐Hui Liu, Wei Wang, Si Wang, Xin Qi and Jian Gong. Their work appears in journals such as Protein & Cell, Journal of Chemical Information and Modeling, Analytical Chemistry, Theranostics and Advanced Healthcare Materials.

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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