Sukhleen Kour

882 citations
17 papers · 366 indexed · h-index 11
  • Neurology top 10%
    • Amyotrophic Lateral Sclerosis Research 7
  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research 8
    • Cancer-related molecular mechanisms research 7
    • RNA Research and Splicing 8
    • RNA modifications and cancer 6
    • Circular RNAs in diseases 5
    • Mitochondrial Function and Pathology 2
    • biodegradable polymer synthesis and properties 1

Sukhleen Kour

17 papers receiving 365 citations

Peers

Sukhleen Kour
Comparison fields: 5 of 55
  • Aging 15
  • Neurology 125
  • Genetics 85
  • Cancer Research 114
  • Molecular Biology 278
Replace Huadong Fan with:
Huadong Fan China
Yongjia Duan China
Matthew J. Keuss United Kingdom
Vilma Rraklli Sweden
Emily A. Scarborough United States
Kyota Yasuda Japan
Lauren M. Gittings United States
Kira Allmeroth Germany
D.B. Dogini Brazil
Philippe Jolivet France
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Citations per field
00.5×
Huadong Fan · 1×
Citations per year

Countries citing papers authored by Sukhleen Kour

Since Specialization
Citations

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

Fields of papers citing papers by Sukhleen Kour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 20241
2 20243
3 20246
4 20238
5 20236
6 202213
7 202137
8 202121
9 202022
10 202054
11 202032
12 201924
13 201617
14 201512
15 201585
16 201517
17 20158

About Sukhleen Kour

Sukhleen Kour is a scholar working on Genetics, Cancer Research and Neurology, having authored 17 papers that have together received 366 indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (8 papers), RNA Research and Splicing (8 papers), Cancer-related molecular mechanisms research (7 papers), Amyotrophic Lateral Sclerosis Research (7 papers), RNA modifications and cancer (6 papers), Circular RNAs in diseases (5 papers), Mitochondrial Function and Pathology (2 papers) and biodegradable polymer synthesis and properties (1 paper). The work is most often cited by research in Aging (15 citations), Neurology (125 citations) and Genetics (85 citations). Sukhleen Kour has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Pramod C. Rath, Udai Bhan Pandey, Eric N. Anderson, Nandini Ramesh, Christopher J. Donnelly, Dhivyaa Rajasundaram, Amanda M. Gleixner, Elizabeth L. Daley, Evangelos Kiskinis and Julia Kofler. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Neuron.

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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