Roshan Kumar Mahat

430 total citations
23 papers, 276 citations indexed

About

Roshan Kumar Mahat is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Clinical Biochemistry. According to data from OpenAlex, Roshan Kumar Mahat has authored 23 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 9 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Clinical Biochemistry. Recurrent topics in Roshan Kumar Mahat's work include Adipokines, Inflammation, and Metabolic Diseases (6 papers), Advanced Glycation End Products research (5 papers) and Liver Disease Diagnosis and Treatment (4 papers). Roshan Kumar Mahat is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (6 papers), Advanced Glycation End Products research (5 papers) and Liver Disease Diagnosis and Treatment (4 papers). Roshan Kumar Mahat collaborates with scholars based in India, Japan and United States. Roshan Kumar Mahat's co-authors include Vedika Rathore, Neelima Singh, Manisha Arora, Suchismita Panda, Rakesh Kumar Shah, Sanjeev Kumar Singh, Nivedita Singh, Gautam Panda, Sudeep Kumar and Anita Sharma and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nutrients and Diabetes & Metabolic Syndrome Clinical Research & Reviews.

In The Last Decade

Roshan Kumar Mahat

19 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roshan Kumar Mahat India 10 92 60 58 47 45 23 276
Vedika Rathore India 10 94 1.0× 66 1.1× 61 1.1× 48 1.0× 46 1.0× 19 342
Hongjie Hou China 11 101 1.1× 43 0.7× 26 0.4× 55 1.2× 49 1.1× 17 267
Aman Rajpal United States 9 82 0.9× 80 1.3× 144 2.5× 38 0.8× 53 1.2× 20 390
Andrea R. Mospan United States 10 100 1.1× 161 2.7× 69 1.2× 49 1.0× 46 1.0× 19 411
Anissa Atif Mirza India 9 82 0.9× 34 0.6× 44 0.8× 53 1.1× 38 0.8× 41 266
Konstantinos Balampanis Greece 7 105 1.1× 65 1.1× 129 2.2× 48 1.0× 76 1.7× 18 367
Davide Carrara Italy 10 79 0.9× 27 0.5× 72 1.2× 25 0.5× 18 0.4× 15 262
Cem Haymana Türkiye 12 76 0.8× 72 1.2× 213 3.7× 23 0.5× 77 1.7× 45 433
James R. Hilser United States 6 42 0.5× 41 0.7× 17 0.3× 17 0.4× 41 0.9× 13 186
Antonietta Coppola Italy 9 147 1.6× 31 0.5× 15 0.3× 80 1.7× 62 1.4× 38 315

Countries citing papers authored by Roshan Kumar Mahat

Since Specialization
Citations

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

Fields of papers citing papers by Roshan Kumar Mahat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roshan Kumar Mahat. 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 Roshan Kumar Mahat. The network helps show where Roshan Kumar Mahat may publish in the future.

Co-authorship network of co-authors of Roshan Kumar Mahat

This figure shows the co-authorship network connecting the top 25 collaborators of Roshan Kumar Mahat. A scholar is included among the top collaborators of Roshan Kumar Mahat 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 Roshan Kumar Mahat. Roshan Kumar Mahat 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
3.
Mahat, Roshan Kumar, et al.. (2024). Circulating asprosin levels in type 2 diabetes mellitus: A systematic review and meta-analysis. Clinical Epidemiology and Global Health. 25. 101502–101502. 6 indexed citations
5.
Mahat, Roshan Kumar, et al.. (2023). Association of vitamin D with triglyceride-glucose index and cardiometabolic risk factors in subclinical hypothyroidism. SHILAP Revista de lepidopterología. 34. 200226–200226. 3 indexed citations
6.
Mahat, Roshan Kumar & Vedika Rathore. (2023). Comment on Xiang et al. Association between the Triglyceride-Glucose Index and Vitamin D Status in Type 2 Diabetes Mellitus. Nutrients 2023, 15, 639. Nutrients. 15(18). 4068–4068. 1 indexed citations
7.
Mahat, Roshan Kumar, et al.. (2021). The dynamics of inflammatory markers in coronavirus disease-2019 (COVID-19) patients: A systematic review and meta-analysis. Clinical Epidemiology and Global Health. 11. 100727–100727. 80 indexed citations
8.
Mahat, Roshan Kumar, Vedika Rathore, Neelima Singh, et al.. (2021). Lipid profile as an indicator of COVID-19 severity: A systematic review and meta-analysis. Clinical Nutrition ESPEN. 45. 91–101. 38 indexed citations
9.
Arora, Manisha, et al.. (2019). Lens protein glycation in diabetic and senile cataract patients. Indian Journal of Clinical and Experimental Ophthalmology. 5(3). 395–397.
10.
Mahat, Roshan Kumar, Neelima Singh, Manisha Arora, & Vedika Rathore. (2019). Health risks and interventions in prediabetes: A review. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 13(4). 2803–2811. 30 indexed citations
11.
Rathore, Vedika, Neelima Singh, & Roshan Kumar Mahat. (2018). Risk Factors for Acute Myocardial Infarction: A Review. Eurasian Journal of Medical Investigation. 2(1). 1–7. 3 indexed citations
12.
Mahat, Roshan Kumar, Neelima Singh, & Vedika Rathore. (2018). Association of myeloperoxidase with cardiovascular disease risk factors in prediabetic subjects. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 13(1). 396–400. 12 indexed citations
13.
Mahat, Roshan Kumar, et al.. (2018). Cross-sectional correlates of oxidative stress and inflammation with glucose intolerance in prediabetes. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 13(1). 616–621. 29 indexed citations
14.
Rathore, Vedika, et al.. (2017). Lipid profile and its correlation with C-reactive protein in patients of acute myocardial infarction. International Journal of Research in Medical Sciences. 5(5). 2182–2182. 4 indexed citations
15.
Singh, Neelima, et al.. (2017). Glycogen Phosphorylase BB: A more Sensitive and Specific Marker than Other Cardiac Markers for Early Diagnosis of Acute Myocardial Infarction. Indian Journal of Clinical Biochemistry. 33(3). 356–360. 15 indexed citations
16.
Rathore, Vedika, et al.. (2017). Comparative status of glycogen phosphorylase BB, myoglobin, and CK-MB for early diagnosis of acute myocardial infarction. International Journal of Medical Science and Public Health. 6(7). 1–1. 1 indexed citations
17.
Arora, Manisha, et al.. (2015). Oxidative stress and its relation to glycemic control in patients of type 2 diabetes mellitus. International Journal of Medical Science and Public Health. 5(6). 1173–1173.
18.
Kumar, Sudeep, et al.. (2015). Evaluation of Lipid Parameters , Liver Function Test , CRP and MDA (as a marker of lipid peroxidation) in Chronic Cigarette Smokers. International Journal of Biomedical and Advance Research. 6(2). 115–115. 2 indexed citations
19.
Arora, Manisha, et al.. (2015). Study of Lipid profile and Paraoxonase-1 Activity in Psoriatic patients. International Journal of Biomedical and Advance Research. 6(2). 145–145. 1 indexed citations
20.
Mahat, Roshan Kumar, et al.. (2013). Comparative Study of Serum Malondialdehyde Levels as a Marker of Oxidative Stress in Patients of Pregnancy induced Hypertension and Controls. MGM Journal of Medical Sciences. 1(2). 53–55. 9 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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