Sunanda Panda

91 papers receiving 1.9k citations

Peers

Sunanda Panda
Comparison fields: 5 of 97
  • Complementary and alternative medicine 473
  • Endocrinology, Diabetes and Metabolism 524
  • Biochemistry 102
  • Plant Science 565
  • Pharmacology 129
Replace Hye Jeong Yang with:
Hye Jeong Yang South Korea
Hsien‐Tsung Yao Taiwan
John A. O. Ojewole South Africa
Rubén Román‐Ramos Mexico
Jayaprakasam Bolleddula United States
Opeyemi Joshua Olatunji Thailand
Hikokíchi Oura Japan
Eugen J. Verspohl Germany
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Hiroshi Shimoda Japan
Sunanda Panda relative to Hye Jeong Yang South Korea Hye Jeong Yang's profile →
Citations per field
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Hye Jeong Yang · 1×
Citations per year

Countries citing papers authored by Sunanda Panda

Since Specialization
Citations

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

Fields of papers citing papers by Sunanda Panda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008222
2 2007143
3 2007127
4 2006106
5 2012105
6 200297
7 199985
8 199876
9 200371
10 200769
11 201767
12
Evidence for free radical scavenging activity of Ashwagandha root powder in mice.
199756
13 199954
14 199843
15 199942
16 200041
17 200840
18 200536
19 201335
20
Fruit extract of Emblica officinalis ameliorates hyperthyroidism and hepatic lipid peroxidation in mice.
200332

About Sunanda Panda

Sunanda Panda is a scholar working on Endocrinology, Diabetes and Metabolism, Complementary and alternative medicine, Animal Science and Zoology, Plant Science and Insect Science, having authored 102 papers that have together received 2.2k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (23 papers), Phytochemicals and Medicinal Plants (18 papers), Natural Antidiabetic Agents Studies (9 papers), Medicinal Plant Research (7 papers), Chemotherapy-induced cardiotoxicity and mitigation (4 papers), Animal Virus Infections Studies (4 papers), Cardiac Ischemia and Reperfusion (4 papers) and Moringa oleifera research and applications (4 papers). The work is most often cited by research in Complementary and alternative medicine (473 citations), Endocrinology, Diabetes and Metabolism (524 citations), Biochemistry (102 citations), Plant Science (565 citations) and Pharmacology (129 citations). Sunanda Panda has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Anand Kar, Mohammad Jafri, Sagarika Biswas, Ashok Kumar Sharma, Shyam Sunder Chaurasia, Hamendra Singh Parmar, Rajesh Sharma, Tushar Banerjee, Partha Sarathi Biswas and Meenakshi Singh. Their work appears in journals such as Pharmacological Research, Journal of Ethnopharmacology, Phytotherapy Research, Hormone and Metabolic Research and Bioorganic & Medicinal Chemistry Letters.

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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