Suneet Kaur

934 citations
28 papers · 601 · h-index 10

Impact in

Papers in

Suneet Kaur

24 papers receiving 589 citations

Peers

Suneet Kaur
Comparison fields: 5 of 99
  • Cellular and Molecular Neuroscience 175
  • Molecular Biology 373
  • Endocrine and Autonomic Systems 19
  • Endocrinology, Diabetes and Metabolism 46
  • Pharmacology 44
Replace Shimeng Guo with:
Shimeng Guo China
Frederik Fierens Belgium
Mika Fujimoto Japan
Ling Pang United States
Kalyan Tirupula United States
W. Beindl Austria
Rajko Igić United States
Rodolfo Pedro Rothlin Argentina
Hisashi Fujita Japan
Laura Martin United States
Suneet Kaur relative to Shimeng Guo China Shimeng Guo's profile →
Citations per field
00.5×1.5×2.3×
Shimeng Guo · 1×
Citations per year

Countries citing papers authored by Suneet Kaur

Since Specialization
Citations

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

Fields of papers citing papers by Suneet Kaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017185
2 2018155
3 200764
4 201835
5 201821
6 200420
7 202018
8 201417
9 201412
10 20159
11 20248
12 20238
13 20218
14 20206
15 20196
16 20236
17 20165
18 20224
19 20233
20 20243

About Suneet Kaur

Suneet Kaur is a scholar working on Molecular Biology, Applied Microbiology and Biotechnology, Infectious Diseases, Cellular and Molecular Neuroscience and Cell Biology, having authored 28 papers that have together received 601 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Receptor Mechanisms and Signaling (5 papers), Antibiotic Use and Resistance (4 papers), Enzyme Catalysis and Immobilization (3 papers), Cellular transport and secretion (3 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Diphtheria, Corynebacterium, and Tetanus (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (175 citations), Molecular Biology (373 citations), Endocrine and Autonomic Systems (19 citations), Endocrinology, Diabetes and Metabolism (46 citations) and Pharmacology (44 citations). Suneet Kaur has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Sudha K. Shenoy, Pierre‐Yves Jean‐Charles, Lori A. Bastian, Cynthia J. Coffman, Kelli D. Allen, Karen M. Stechuchak, Howard A. Rockman, Ravinder S. Jolly, Michel Bouvier and Jialu Wang. Their work appears in journals such as Journal of Biological Chemistry, Emerging infectious diseases, Catalysis Science & Technology, Journal of Cardiovascular Pharmacology and Journal of General Internal Medicine.

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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