Ling Lin

3.8k citations
99 papers · 2.9k indexed · h-index 29

Impact in

  • Aging top 5%
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

Ling Lin

91 papers receiving 2.9k citations

Peers

Ling Lin
Comparison fields: 5 of 136
  • Aging 73
  • Cancer Research 453
  • Immunology 511
  • Molecular Biology 1.6k
  • Nephrology 107
Replace Marten Szibor with:
Marten Szibor Germany
Ivo Buschmann Germany
Yangxin Li China
Jack Pollard United States
Yang Xiang China
Fei Liu China
Weidong Zhu China
James W. MacDonald United States
Paola de Candia Italy
Ling Lin relative to Marten Szibor Germany Marten Szibor's profile →
Citations per field
00.5×1.5×1.8×
Marten Szibor · 1×
Citations per year

Countries citing papers authored by Ling Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ling Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20237
4 202315
5 202211
6
Adenine Base Editing of Gamma Globin Gene Promoters Shows No Detectable Off-Target RNA or DNA Editing
20201
7 201975
8 201813
9 201527
10
Tissue Plasminogen Activator: Side Effects and Signaling.
20146
11 201436
12
Evolution of measure mode and proposition of "M+N" theory
20137
13
An Automatic Building-layout Algorithm Based on Inner Available Region
20131
14 2009105
15 200628
16 200525
17 200477
18 2004365
19
Ultrastructure of neural stem cell neurosphere cultured in vitro
20031
20 199645

About Ling Lin

Ling Lin is a scholar working on Cancer Research, Aging, Immunology, Nephrology and Hematology, having authored 99 papers that have together received 2.9k indexed citations. Recurring topics across this work include Viral Infections and Vectors (6 papers), Protease and Inhibitor Mechanisms (6 papers), MicroRNA in disease regulation (6 papers), Chronic Kidney Disease and Diabetes (6 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers), FOXO transcription factor regulation (5 papers), S100 Proteins and Annexins (5 papers) and Circular RNAs in diseases (5 papers). The work is most often cited by research in Aging (73 citations), Cancer Research (453 citations), Immunology (511 citations), Molecular Biology (1.6k citations) and Nephrology (107 citations). Ling Lin has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Stanford L. Peng, Kebin Hu, Jonathan D. Hron, Danielle Morse, Andrea Gerth, Augustine M.K. Choi, Jiaofei Cao, Stefan W. Ryter, Iván O. Rosas and Chang Hyeok An. Their work appears in journals such as Journal of Biological Chemistry, International Journal of Molecular Sciences, American Journal Of Pathology, PLoS ONE and Journal of Cellular Biochemistry.

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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