Deepika Arora

48 papers receiving 745 citations

Peers

Deepika Arora
Comparison fields: 5 of 136
  • Pharmaceutical Science 48
  • Hematology 65
  • Pulmonary and Respiratory Medicine 129
  • Molecular Biology 264
  • Immunology 81
Replace Shengli Lai with:
Shengli Lai China
Hudan Pan China
Fengjiao Zhang China
Sisi Lin China
Yao Mu China
Seo‐Young Park South Korea
Ying Ye China
Maojie Wang China
Xiaomei Hu China
Swati Tiwari India
Deepika Arora relative to Shengli Lai China Shengli Lai's profile →
Citations per field
00.5×10×20×27.8×
Shengli Lai · 1×
Citations per year

Countries citing papers authored by Deepika Arora

Since Specialization
Citations

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

Fields of papers citing papers by Deepika Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201070
2 201970
3 201260
4 201155
5 201554
6 201239
7 201635
8 202235
9 202027
10 201626
11 201722
12 201322
13 202221
14
Comparative effect of Ocimum sanctum, Commiphora mukul, folic acid and ramipril on lipid peroxidation in experimentally-induced hyperlipidemia.
201021
15 201620
16 201619
17 202218
18 201116
19 202115
20 202214

About Deepika Arora

Deepika Arora is a scholar working on Molecular Biology, Plant Science, Surgery, Pulmonary and Respiratory Medicine and Computer Networks and Communications, having authored 56 papers that have together received 768 indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (3 papers), Innovative Teaching Methods (2 papers), IoT and Edge/Fog Computing (2 papers), Problem and Project Based Learning (2 papers), Craniofacial Disorders and Treatments (2 papers), Pesticide Exposure and Toxicity (2 papers), Aluminum Alloys Composites Properties (2 papers) and Sirtuins and Resveratrol in Medicine (2 papers). The work is most often cited by research in Pharmaceutical Science (48 citations), Hematology (65 citations), Pulmonary and Respiratory Medicine (129 citations), Molecular Biology (264 citations) and Immunology (81 citations). Deepika Arora has collaborated with scholars based in India, United States and Nepal. Frequent co-authors include Yogeshwer Shukla, Vipendra Kumar Singh, Matthew S. Halquist, Masahiro Sakagami, Sylvia‐Annette Böhmer, Frank‐D. Böhmer, Pamela Gehron Robey, Jörg P. Müller, Reinhard Bauer and Rinesh Godfrey. Their work appears in journals such as Journal of Anaesthesiology Clinical Pharmacology, Biochemical and Biophysical Research Communications, ACS Biomaterials Science & Engineering, Food and Chemical Toxicology and Phytotherapy Research.

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.

Explore authors with similar magnitude of impact