Sushma Devi

903 citations
45 papers · 566 · h-index 13

Impact in

Papers in

    • Pain Mechanisms and Treatments 4
    • Biochemical effects in animals 3
    • Adipose Tissue and Metabolism 3
    • Alzheimer's disease research and treatments 2

Sushma Devi

42 papers receiving 548 citations

Peers

Sushma Devi
Comparison fields: 5 of 115
  • Biochemistry 87
  • Biological Psychiatry 17
  • Complementary and alternative medicine 52
  • Pharmacology 53
  • Endocrinology, Diabetes and Metabolism 75
Replace Vadivelan Ramachandran with:
Vadivelan Ramachandran India
Siva Prasad Panda India
Talha Jawaid Saudi Arabia
Farhana Ferdousi Japan
Yesmin Begum Bangladesh
Lyubka Tancheva Bulgaria
Sherouk Hussein Sweilam Saudi Arabia
Cássia Calixto-Campos Brazil
Tarique Mahmood India
Atul Kabra India
Sushma Devi relative to Vadivelan Ramachandran India Vadivelan Ramachandran's profile →
Citations per field
00.5×1.5×2.2×
Vadivelan Ramachandran · 1×
Citations per year

Countries citing papers authored by Sushma Devi

Since Specialization
Citations

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

Fields of papers citing papers by Sushma Devi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014132
2 202145
3 202038
4 202236
5 202328
6 202423
7 201718
8 202217
9 202017
10 202117
11 202315
12 202315
13 202314
14 202412
15 202312
16 202112
17 202011
18 202410
19 20229
20 20179

About Sushma Devi

Sushma Devi is a scholar working on Physiology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Biochemistry and Complementary and alternative medicine, having authored 45 papers that have together received 566 indexed citations. Recurring topics across this work include Phytochemicals and Antioxidant Activities (8 papers), Natural Antidiabetic Agents Studies (7 papers), Pain Mechanisms and Treatments (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Biochemical effects in animals (3 papers), Adipose Tissue and Metabolism (3 papers), Medicinal Plants and Neuroprotection (3 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Biochemistry (87 citations), Biological Psychiatry (17 citations), Complementary and alternative medicine (52 citations), Pharmacology (53 citations) and Endocrinology, Diabetes and Metabolism (75 citations). Sushma Devi has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include Randhir Singh, Aftab Alam, Sarita Azad, Ahmed I. Foudah, Mohammad Ayman Salkini, Mohammed H. Alqarni, Manish Kumar, Thakur Gurjeet Singh, Hasan S. Yusufoglu and Prawez Alam. Their work appears in journals such as Molecules, Frontiers in Pharmacology, Inflammopharmacology, Biomedicines and Food Science and Human Wellness.

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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