Simran Deep Kaur

33 papers receiving 641 citations

Peers

Simran Deep Kaur
Comparison fields: 5 of 101
  • Drug Discovery 7
  • Biomaterials 139
  • Pharmaceutical Science 73
  • Biotechnology 26
  • Pollution 31
Replace Ruoshi Zhang with:
Ruoshi Zhang China
Sreejith Raveendran Japan
Anubhav Kaphle India
Eleonora Calzoni Italy
Endong Yang China
Juyoung Hwang South Korea
Mikhail A. Berestovoy Russia
Yunfeng Hu China
Aakanchha Jain India
Rajesh Kumar Singh India
Simran Deep Kaur relative to Ruoshi Zhang China Ruoshi Zhang's profile →
Citations per field
00.5×2×3×4.4×
Ruoshi Zhang · 1×
Citations per year

Countries citing papers authored by Simran Deep Kaur

Since Specialization
Citations

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

Fields of papers citing papers by Simran Deep Kaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019292
2 202358
3 202433
4 201532
5 202329
6 202128
7 202126
8 201523
9 202322
10 201815
11 202415
12 201313
13 202313
14 202212
15 20209
16
Immunohistochemical co-expression of c-erbb-2/Neu oncoprotein, altered tumour suppressor (p53) protein, EGF-R and EMA in histological subtypes of infiltrating duct carcinoma of the breast.
19998
17 20247
18 20257
19 20236
20 20235

About Simran Deep Kaur

Simran Deep Kaur is a scholar working on Pharmaceutical Science, Biomaterials, Cancer Research, Oncology and Health, Toxicology and Mutagenesis, having authored 41 papers that have together received 676 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (6 papers), Advancements in Transdermal Drug Delivery (4 papers), Drug Solubulity and Delivery Systems (3 papers), Advanced Drug Delivery Systems (2 papers), Listeria monocytogenes in Food Safety (2 papers), Environmental Toxicology and Ecotoxicology (2 papers), Smart Agriculture and AI (2 papers) and Catalytic C–H Functionalization Methods (1 paper). The work is most often cited by research in Drug Discovery (7 citations), Biomaterials (139 citations), Pharmaceutical Science (73 citations), Biotechnology (26 citations) and Pollution (31 citations). Simran Deep Kaur has collaborated with scholars based in India, Malaysia and United States. Frequent co-authors include Dinesh Kumar Chellappan, Kamal Dua, Murtaza M. Tambuwala, Rajeshkumar Shanmugam, Gaurav Gupta, Hamid A. Bakshi, Saurabh Satija, Daljeet Singh Dhanjal, Lakshmi Prasanth Thangavelu and Parvarish Sharma. Their work appears in journals such as ACS Omega, Critical Reviews in Analytical Chemistry, Environmental Monitoring and Assessment, Organic Letters and Journal of Dispersion Science and Technology.

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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