Karen Ling

2.8k citations
37 papers · 1.2k indexed · h-index 19

Impact in

  • Genetics top 2%
    • Neurogenetic and Muscular Disorders Research
  • Physiology top 2%
    • Adenosine and Purinergic Signaling

Papers in

    • Neurogenetic and Muscular Disorders Research 15
    • Adenosine and Purinergic Signaling 5

Karen Ling

36 papers receiving 1.2k citations

Peers

Karen Ling
Comparison fields: 5 of 83
  • Genetics 551
  • Physiology 146
  • Molecular Biology 883
  • Cellular and Molecular Neuroscience 190
  • Neurology 116
Replace Natalia Rodríguez‐Muela with:
Natalia Rodríguez‐Muela Spain
Constanza J. Cortés United States
Caterina Morabito Italy
Nicol Birsa United Kingdom
Soledad Matus Chile
Matthew E.R. Butchbach United States
Michael A. Farrell Ireland
Shinji Hadano Japan
Silvia Corrochano Spain
Adam K. Bevan United States
Karen Ling relative to Natalia Rodríguez‐Muela Spain Natalia Rodríguez‐Muela's profile →
Citations per field
00.5×2.7×
Natalia Rodríguez‐Muela · 1×
Citations per year

Countries citing papers authored by Karen Ling

Since Specialization
Citations

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

Fields of papers citing papers by Karen Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202321
2 20237
3 20237
4 202314
5 20237
6 20225
7 202122
8 202121
9 20214
10 202015
11 202074
12 201928
13 201648
14 201225
15 201230
16 2011159
17 20067
18 200513
19 20049
20 200444

About Karen Ling

Karen Ling is a scholar working on Genetics, Physiology, Cellular and Molecular Neuroscience, Molecular Biology and Neurology, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (15 papers), RNA modifications and cancer (8 papers), RNA Research and Splicing (8 papers), Ion channel regulation and function (7 papers), Amyotrophic Lateral Sclerosis Research (6 papers), Adenosine and Purinergic Signaling (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Congenital Anomalies and Fetal Surgery (4 papers). The work is most often cited by research in Genetics (551 citations), Physiology (146 citations), Molecular Biology (883 citations), Cellular and Molecular Neuroscience (190 citations) and Neurology (116 citations). Karen Ling has collaborated with scholars based in United States, Hong Kong and United Kingdom. Frequent co-authors include Frank Rigo, Chien‐Ping Ko, Chien -Ping Ko, Zhihua Feng, Ming-Yi Lin, Brian Zingg, Karl Wah Keung Tsim, Roy C.Y. Choi, C. Frank Bennett and Eric A. Barnard. Their work appears in journals such as Neurobiology of Disease, Human Molecular Genetics, Journal of Biological Chemistry, Cell Reports and Journal of Neuroscience.

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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