Sukhvinder Kaur

1.2k citations
13 papers · 257 · 1 hit paper · h-index 9

Impact in

Papers in

Sukhvinder Kaur

10 papers receiving 239 citations

Sukhvinder Kaur's Hit Papers

Active learning-assisted directed evolution 2025 · 29 citations
290Years since publication510152025

Peers

Sukhvinder Kaur
Comparison fields: 5 of 101
  • Environmental Chemistry 42
  • Pollution 40
  • Health, Toxicology and Mutagenesis 42
  • Psychiatry and Mental health 37
  • Endocrine and Autonomic Systems 14
Replace Beata Starek‐Świechowicz with:
Beata Starek‐Świechowicz Poland
Jade Chaker France
María Pía Muñoz Chile
Li-Chun Huang China
Albert-László Barabási United States
Yuki Kosugi Japan
Xiaoyan Huang China
Manuel Lozano Spain
Sietske A. Berghuis Netherlands
Yun-Chung Hsiao United States
Sukhvinder Kaur relative to Beata Starek‐Świechowicz Poland Beata Starek‐Świechowicz's profile →
Citations per field
00.5×4.6×
Beata Starek‐Świechowicz · 1×
Citations per year

Countries citing papers authored by Sukhvinder Kaur

Since Specialization
Citations

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

Fields of papers citing papers by Sukhvinder Kaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Sukhvinder Kaur, 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 Sukhvinder Kaur Line = papers co-authored together Sukhvinder Kaur links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201188
2 201030
3
Active learning-assisted directed evolution
Hit paper breakdown →
202529
4 200923
5 201923
6 201919
7 201914
8 201813
9 201811
10 20196
11
FINANCIAL INCLUSION IN INDIA
20171
12 20050
13 20200

About Sukhvinder Kaur

Sukhvinder Kaur is a scholar working on Psychiatry and Mental health, Molecular Biology, Endocrine and Autonomic Systems, Environmental Chemistry and Genetics, having authored 13 papers that have together received 257 indexed citations. Recurring topics across this work include Migraine and Headache Studies (5 papers), Neuroscience of respiration and sleep (3 papers), Arsenic contamination and mitigation (2 papers), Folate and B Vitamins Research (1 paper), Nicotinic Acetylcholine Receptors Study (1 paper), Employee Performance and Management (1 paper), Neurological Complications and Syndromes (1 paper) and Grief, Bereavement, and Mental Health (1 paper). The work is most often cited by research in Environmental Chemistry (42 citations), Pollution (40 citations), Health, Toxicology and Mutagenesis (42 citations), Psychiatry and Mental health (37 citations) and Endocrine and Autonomic Systems (14 citations). Sukhvinder Kaur has collaborated with scholars based in India and United States. Frequent co-authors include Arif Ali, Majid Rasool Kamli, Arun Kumar Pandey, Jason Yang, Yisong Yue, Frances H. Arnold, Tarundeep Singh, Manmeet Kaur, Rajesh Kumar and Nidhi Bhatnagar. Their work appears in journals such as Current Microbiology, Nature Communications, Neurological Sciences, Molecular Biology Reports and Canadian Journal of Microbiology.

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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