Sushma Devi

973 citations
48 papers · 646 · h-index 14

Impact in

Papers in

Sushma Devi

43 papers receiving 628 citations

Peers

Sushma Devi
Comparison fields: 5 of 112
  • Biochemistry 92
  • Biological Psychiatry 17
  • Complementary and alternative medicine 52
  • Pharmacology 49
  • Endocrinology, Diabetes and Metabolism 69
Replace Aklima Akter with:
Aklima Akter Bangladesh
Mohamed H. Nafady Egypt
Farhana Ferdousi Japan
Sherouk Hussein Sweilam Saudi Arabia
Cristiani Isabel Banderó Walker Brazil
Atul Kabra India
Farogh Ahsan India
Prakash Chandra Bhatt India
Vineet Mittal India
Gollapalle Lakshminarayanashastry Viswanatha India
Sushma Devi relative to Aklima Akter Bangladesh Aklima Akter's profile →
Citations per field
00.5×10×14.5×
Aklima Akter · 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 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014139
2 202154
3 202444
4 202240
5 202039
6 202331
7 201722
8 202218
9 202018
10 202117
11 202316
12 202416
13 202315
14 202315
15 202112
16 202312
17 202012
18 202411
19 202211
20 202310

About Sushma Devi

Sushma Devi is a scholar working on Physiology, Molecular Biology, Biochemistry, Endocrinology, Diabetes and Metabolism and Complementary and alternative medicine, having authored 48 papers that have together received 646 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), Adipose Tissue and Metabolism (3 papers), Biochemical effects in animals (3 papers), Stress Responses and Cortisol (3 papers) and Medicinal Plants and Neuroprotection (3 papers). The work is most often cited by research in Biochemistry (92 citations), Biological Psychiatry (17 citations), Complementary and alternative medicine (52 citations), Pharmacology (49 citations) and Endocrinology, Diabetes and Metabolism (69 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, Manish Kumar, Mohammed H. Alqarni, Thakur Gurjeet Singh, Faisal K. Alkholifi and Hasan S. Yusufoglu. Their work appears in journals such as Molecules, Frontiers in Pharmacology, Inflammopharmacology, Biomedicines and Artificial Cells Nanomedicine and Biotechnology.

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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