Sumit Arora

29 papers receiving 661 citations

Peers

Sumit Arora
Comparison fields: 5 of 104
  • Biochemistry 68
  • Pharmaceutical Science 58
  • Complementary and alternative medicine 55
  • Pharmacology 56
  • Food Science 98
Replace Yaseen Hussain with:
Yaseen Hussain China
Mohammed Kaleem Saudi Arabia
Yanting Huang China
Juanjuan Zhao China
Salman A. A. Mohammed Saudi Arabia
Juber Akhtar India
Shirley C. Chen United States
Dilip M. Mondhe India
Isha Taneja India
Aljawharah Alqathama Saudi Arabia
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Citations per field
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Citations per year

Countries citing papers authored by Sumit Arora

Since Specialization
Citations

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

Fields of papers citing papers by Sumit Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201180
2 201662
3 201462
4 201859
5 201758
6 201355
7 201544
8 201537
9 202034
10 201234
11 202029
12 202119
13 202118
14 201418
15 201814
16 201413
17 202112
18 202112
19
Antibacterial, antifungal, antioxidant and phytochemical study on the leaves extract of Grewia optiva.
20116
20 20135

About Sumit Arora

Sumit Arora is a scholar working on Molecular Biology, Computational Theory and Mathematics, Endocrinology, Diabetes and Metabolism, Plant Science and Organic Chemistry, having authored 31 papers that have together received 692 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Natural Antidiabetic Agents Studies (4 papers), Natural product bioactivities and synthesis (3 papers), Diverse Scientific Research Studies (3 papers), Seaweed-derived Bioactive Compounds (3 papers), Pharmacological Effects of Natural Compounds (3 papers), Phytochemistry and Biological Activities (2 papers) and Seed and Plant Biochemistry (2 papers). The work is most often cited by research in Biochemistry (68 citations), Pharmaceutical Science (58 citations), Complementary and alternative medicine (55 citations), Pharmacology (56 citations) and Food Science (98 citations). Sumit Arora has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Prakash R. Itankar, Prashant Verma, Subhash R. Yende, Ajay P. Singh, Sapan Shah, Seema Singh, Arun Bhardwaj, Sanjeev K. Srivastava, Arun T. Patil and Nikhil Tyagi. Their work appears in journals such as Journal of Traditional and Complementary Medicine, Journal of Ethnopharmacology, Journal of Biomolecular Structure and Dynamics, Revista Brasileira de Farmacognosia and British Journal of Cancer.

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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