Jing‐Jer Lin

10.1k citations
176 papers · 6.8k indexed · 1 hit paper · h-index 45

Jing‐Jer Lin

168 papers receiving 6.5k citations

Hit Papers

ATM phosphorylates p95/nbs1 in an S-phase checkpoint pathway6432000202620082017200400600

Peers

Jing‐Jer Lin
Comparison fields: 5 of 150
  • Aging 219
  • Molecular Biology 5.1k
  • Cell Biology 985
  • Toxicology 162
  • Cancer Research 621
Replace Jiawei Wu with:
Jiawei Wu China
Tobias P. Dick Germany
Didier Picard Switzerland
Tsutomu Ohta Japan
Gloria C. Li United States
Kelvin Cain United Kingdom
Andrew D Sharrocks United Kingdom
Kenichi Suzuki Japan
Russell M. Lebovitz United States
Chris J. Norbury United Kingdom
Jing‐Jer Lin relative to Jiawei Wu China Jiawei Wu's profile →
Citations per field
00.5×1.5×2.1×
Jiawei Wu · 1×
Citations per year

Countries citing papers authored by Jing‐Jer Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jing‐Jer Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20242
4 20241
5 20244
6 202310
7 202116
8 2016157
9 201323
10
Birth Defects Data from Surveillance Hospitals in Hubei Province, China, 200l - 2008
20123
11 20072
12 200522
13 200533
14 200425
15 2003105
16
Evolution of Structures and Specific Recognitions in Aminoacyl-tRNA Synthetases
20021
17
ATM phosphorylates p95/nbs1 in an S-phase checkpoint pathwaybreakdown →
2000643
18 19962
19 1989156
20 19874

About Jing‐Jer Lin

Jing‐Jer Lin is a scholar working on Aging, Molecular Biology and Toxicology, having authored 176 papers that have together received 6.8k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (35 papers), DNA Repair Mechanisms (23 papers), DNA and Nucleic Acid Chemistry (23 papers), Advanced biosensing and bioanalysis techniques (23 papers), RNA and protein synthesis mechanisms (14 papers), RNA Interference and Gene Delivery (13 papers), CRISPR and Genetic Engineering (12 papers) and Cardiomyopathy and Myosin Studies (9 papers). The work is most often cited by research in Aging (219 citations), Molecular Biology (5.1k citations) and Cell Biology (985 citations). Jing‐Jer Lin has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Virginia A. Zakian, Aziz Sancar, Fumio Matsumura, John H.J. Petrini, Gethin Thomas, Shigeko Yamashiro, Henry C. Wu, Richard S. Maser, Seong‐Tae Kim and Michael B. Kastan. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications, The Journal of Cell Biology and Nucleic Acids Research.

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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