Sushil K. Jain

18.4k total citations · 5 hit papers
318 papers, 14.9k citations indexed

About

Sushil K. Jain is a scholar working on Physiology, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Sushil K. Jain has authored 318 papers receiving a total of 14.9k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Physiology, 49 papers in Molecular Biology and 42 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Sushil K. Jain's work include Erythrocyte Function and Pathophysiology (28 papers), Vitamin D Research Studies (27 papers) and Diet and metabolism studies (22 papers). Sushil K. Jain is often cited by papers focused on Erythrocyte Function and Pathophysiology (28 papers), Vitamin D Research Studies (27 papers) and Diet and metabolism studies (22 papers). Sushil K. Jain collaborates with scholars based in United States, India and United Kingdom. Sushil K. Jain's co-authors include Justin Rains, Krishnaswamy Kannan, Prasenjit Manna, Robert McVie, Gideon Lim, John Duett, Rajesh Parsanathan, Paul Hochstein, John J. Herbst and Steven N. Levine and has published in prestigious journals such as New England Journal of Medicine, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Sushil K. Jain

307 papers receiving 14.2k citations

Hit Papers

Oxidative stress, insulin signaling,... 1989 2026 2001 2013 2010 2000 2017 2015 1989 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sushil K. Jain United States 63 4.0k 3.6k 2.1k 1.9k 1.8k 318 14.9k
Gérard Siest France 61 2.3k 0.6× 4.1k 1.1× 2.4k 1.1× 1.5k 0.8× 973 0.5× 519 14.5k
Jiankang Liu China 73 4.1k 1.0× 5.9k 1.6× 1.4k 0.7× 1.9k 1.0× 1.4k 0.8× 366 17.1k
Mark T. Quinn United States 74 5.6k 1.4× 7.0k 1.9× 1.5k 0.7× 1.1k 0.6× 1.4k 0.8× 258 20.6k
Huige Li Germany 63 5.1k 1.3× 4.4k 1.2× 1.6k 0.7× 1.2k 0.6× 826 0.5× 189 15.4k
Tomasz J. Guzik Poland 69 4.4k 1.1× 4.0k 1.1× 2.9k 1.4× 2.2k 1.2× 3.0k 1.7× 241 19.8k
Lucas Liaudet Switzerland 66 4.0k 1.0× 4.5k 1.2× 1.3k 0.6× 1.8k 0.9× 877 0.5× 224 18.2k
Sergey Dikalov United States 70 7.1k 1.8× 7.0k 1.9× 1.7k 0.8× 1.1k 0.6× 2.2k 1.2× 182 20.4k
Yukio Yamori Japan 62 3.8k 0.9× 3.6k 1.0× 2.2k 1.0× 1.1k 0.6× 2.0k 1.1× 591 14.6k
Steven H. Zeisel United States 86 4.1k 1.0× 7.4k 2.1× 1.6k 0.8× 2.5k 1.4× 2.9k 1.6× 348 23.7k
Philip Newsholme Australia 66 4.6k 1.1× 5.6k 1.5× 2.1k 1.0× 1.4k 0.8× 2.4k 1.3× 241 15.7k

Countries citing papers authored by Sushil K. Jain

Since Specialization
Citations

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

Fields of papers citing papers by Sushil K. Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sushil K. Jain. 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 Sushil K. Jain. The network helps show where Sushil K. Jain may publish in the future.

Co-authorship network of co-authors of Sushil K. Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Sushil K. Jain. A scholar is included among the top collaborators of Sushil K. Jain based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sushil K. Jain. Sushil K. Jain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Jain, Sushil K., et al.. (2024). Regulatory Effect of L-Cysteine on Testosterone Biosynthesis Genes in Leydig Cells and THP-1 Monocytes. Physiology. 39(S1). 1 indexed citations
3.
Jain, Sushil K., et al.. (2024). The Protective Role of L-Cysteine in the Regulation of Blood–Testis Barrier Functions—A Brief Review. Genes. 15(9). 1201–1201. 3 indexed citations
5.
Jain, Sushil K., et al.. (2019). Role of fenugreek (Trigonella foenum graecum) on in management of diabetes disease. Journal of Pharmacognosy and Phytochemistry. 8(4). 184–187. 8 indexed citations
6.
Marie, Preeti Kanikarla, David Micinski, & Sushil K. Jain. (2019). Hyperglycemia (high-glucose) decreases l-cysteine and glutathione levels in cultured monocytes and blood of Zucker diabetic rats. Molecular and Cellular Biochemistry. 459(1-2). 151–156. 7 indexed citations
7.
Jain, Sushil K., et al.. (2019). Screening of soybean genotypes for pre-germination anaerobic stress tolerance to waterlogging. Journal of Pharmacognosy and Phytochemistry. 8. 1–3. 2 indexed citations
8.
Jain, Sushil K., et al.. (2018). Chemical and functional properties of Beetroot (Beta vulgaris L.) for product development: A review. International Journal of Chemical Studies. 6(3). 3190–3194. 29 indexed citations
9.
Jain, Sushil K., Rajesh Parsanathan, A. Elumalai, Preeti Kanikarla Marie, & Joseph A. Bocchini. (2018). Glutathione Stimulates Vitamin D Regulatory and Glucose-Metabolism Genes, Lowers Oxidative Stress and Inflammation, and Increases 25-Hydroxy-Vitamin D Levels in Blood: A Novel Approach to Treat 25-Hydroxyvitamin D Deficiency. Antioxidants and Redox Signaling. 29(17). 1792–1807. 76 indexed citations
10.
Mir, Rashid, Jamsheed Javid, Mariyam Zuberi, et al.. (2016). The C609T (Pro187Ser) Null Polymorphism of the NQO1 Gene Contributes Significantly to Breast Cancer Susceptibility in North Indian Populations: a Case Control Study. Asian Pacific Journal of Cancer Prevention. 17(3). 1215–1219. 4 indexed citations
11.
Jain, Sushil K., et al.. (2015). Can l -Cysteine and Vitamin D Rescue Vitamin D and Vitamin D Binding Protein Levels in Blood Plasma of African American Type 2 Diabetic Patients?. Antioxidants and Redox Signaling. 23(8). 688–693. 29 indexed citations
13.
Manna, Prasenjit & Sushil K. Jain. (2014). Effect of PIP3 on Adhesion Molecules and Adhesion of THP-1 Monocytes to HUVEC Treated with High Glucose. Cellular Physiology and Biochemistry. 33(4). 1197–1204. 14 indexed citations
14.
Jain, Sushil K., Justin Rains, Pat F. Bass, et al.. (2010). Low Levels of Hydrogen Sulfide in the Blood of Diabetes Patients and Streptozotocin-Treated Rats Causes Vascular Inflammation?. Antioxidants and Redox Signaling. 12(11). 1333–1337. 269 indexed citations
15.
Jain, Sushil K., et al.. (2009). Metabolic Syndrome and Cancer. Metabolic Syndrome and Related Disorders. 7(4). 279–288. 136 indexed citations
16.
Wadhawan, Manav, Vivek Vij, Neerav Goyal, et al.. (2007). Liver Transplantation: Experience with Last 50 Cases at Our Centre. SHILAP Revista de lepidopterología. 4(4). 331–333. 1 indexed citations
17.
Jain, Sushil K.. (2006). Superoxide dismutase overexpression and cellular oxidative damage in diabetes. Free Radical Biology and Medicine. 41(8). 1187–1190. 22 indexed citations
18.
Kannan, Krishnaswamy, et al.. (2004). Progesterone, but not 17β-estradiol, increases TNF-α secretion in U937 monocytes. Cytokine. 26(3). 102–105. 31 indexed citations
20.
Fahim, M. & Sushil K. Jain. (1979). The effect of bupivacaine aerosol on the activity of pulmonary stretch and 'irritant' receptors.. The Journal of Physiology. 288(1). 367–378. 23 indexed citations

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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