Dheeraj Mohania

1.2k total citations
26 papers, 796 citations indexed

About

Dheeraj Mohania is a scholar working on Molecular Biology, Food Science and Genetics. According to data from OpenAlex, Dheeraj Mohania has authored 26 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Food Science and 6 papers in Genetics. Recurrent topics in Dheeraj Mohania's work include Probiotics and Fermented Foods (12 papers), Gut microbiota and health (9 papers) and Acute Ischemic Stroke Management (5 papers). Dheeraj Mohania is often cited by papers focused on Probiotics and Fermented Foods (12 papers), Gut microbiota and health (9 papers) and Acute Ischemic Stroke Management (5 papers). Dheeraj Mohania collaborates with scholars based in India, United States and Japan. Dheeraj Mohania's co-authors include Ravinder Nagpal, Manoj Kumar, Hariom Yadav, Pradip V. Behare, Shalini Jain, Dilip Shah, Christiani Jeyakumar Henry, Francesco Marotta, Vivek Verma and Kumar Digvijay and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Annals of Oncology.

In The Last Decade

Dheeraj Mohania

25 papers receiving 762 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dheeraj Mohania India 11 384 344 192 90 76 26 796
Jae-Hun Sim South Korea 21 621 1.6× 358 1.0× 177 0.9× 224 2.5× 57 0.8× 42 1.2k
Yukio Asami Japan 17 478 1.2× 279 0.8× 146 0.8× 25 0.3× 52 0.7× 33 871
Myung-Jun Chung South Korea 15 626 1.6× 390 1.1× 168 0.9× 127 1.4× 80 1.1× 32 1.0k
Angela Michelotti Italy 14 251 0.7× 190 0.6× 102 0.5× 111 1.2× 23 0.3× 19 560
Mingjiang Liu China 19 391 1.0× 164 0.5× 132 0.7× 18 0.2× 72 0.9× 52 1.1k
Jae‐Gu Seo South Korea 20 942 2.5× 354 1.0× 123 0.6× 146 1.6× 78 1.0× 36 1.5k
Jana Větvičková United States 22 371 1.0× 141 0.4× 222 1.2× 15 0.2× 52 0.7× 55 1.3k
Zhiming Yu China 12 542 1.4× 311 0.9× 131 0.7× 15 0.2× 67 0.9× 25 898
Shuichi Segawa Japan 13 320 0.8× 230 0.7× 105 0.5× 72 0.8× 47 0.6× 27 705
Yujin Kim South Korea 17 533 1.4× 363 1.1× 123 0.6× 15 0.2× 54 0.7× 80 1.0k

Countries citing papers authored by Dheeraj Mohania

Since Specialization
Citations

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

Fields of papers citing papers by Dheeraj Mohania

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dheeraj Mohania

This figure shows the co-authorship network connecting the top 25 collaborators of Dheeraj Mohania. A scholar is included among the top collaborators of Dheeraj Mohania 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 Dheeraj Mohania. Dheeraj Mohania 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
1.
Misra, Shubham, Shantanu Sengupta, Manoj Kushwaha, et al.. (2024). Subtyping strokes using blood‐based protein biomarkers: A high‐throughput proteomics and machine learning approach. European Journal of Clinical Investigation. 55(4). e14372–e14372.
2.
Misra, Shubham, Yuki I. Kawamura, Praveen Singh, et al.. (2024). Prognostic biomarkers of intracerebral hemorrhage identified using targeted proteomics and machine learning algorithms. PLoS ONE. 19(6). e0296616–e0296616. 5 indexed citations
3.
Singh, Samradhi, Devojit Kumar Sarma, Vinod Kumar Verma, et al.. (2024). Deciphering the complex interplay of risk factors in type 2 diabetes mellitus: A comprehensive review. SHILAP Revista de lepidopterología. 22. 100287–100287. 9 indexed citations
4.
Pandit, Awadh Kishor, Shubham Misra, Shantanu Sengupta, et al.. (2023). Cerebrospinal fluid proteins in idiopathic intracranial hypertension: An exploratory SWATH proteomics analysis. PROTEOMICS - CLINICAL APPLICATIONS. 18(1). e2300021–e2300021. 1 indexed citations
5.
Misra, Shubham, Praveen Singh, Shantanu Sengupta, et al.. (2022). Blood-based protein biomarkers for the diagnosis of acute stroke: A discovery-based SWATH-MS proteomic approach. Frontiers in Neurology. 13. 989856–989856. 8 indexed citations
6.
Nagpal, Ravinder, Nicola Zerbinati, Birbal Singh, et al.. (2017). Effect of VBC-1814/7J, a poly-phytocompound, on a non-infectious model of pharyngitis. Experimental and Therapeutic Medicine. 13(6). 3075–3080. 5 indexed citations
7.
Mohania, Dheeraj, et al.. (2017). Ultraviolet Radiations: Skin Defense-Damage Mechanism. Advances in experimental medicine and biology. 996. 71–87. 182 indexed citations
8.
9.
Catanzaro, Roberto, Nicola Zerbinati, Umberto Solimene, et al.. (2016). Beneficial effect of refined red palm oil on lipid peroxidation and monocyte tissue factor in HCV-related liver disease: a randomizer controller study. Hepatobiliary & pancreatic diseases international. 15(2). 165–172. 13 indexed citations
10.
11.
Mohania, Dheeraj, Vinod K. Kansal, Ravinder Nagpal, Yuichiro Yamashiro, & Francesco Marotta. (2013). Suppression of diet-induced hypercholesterolemia by probiotic Dahi containing Lactobacillus acidophilus and Lactobacillus plantarum. 8. 75–84. 7 indexed citations
12.
Mohania, Dheeraj, Vinod K. Kansal, Dilip Shah, et al.. (2013). Therapeutic Effect of Probiotic Dahi on Plasma, Aortic, and Hepatic Lipid Profile of Hypercholesterolemic Rats. Journal of Cardiovascular Pharmacology and Therapeutics. 18(5). 490–497. 22 indexed citations
13.
Zerbinati, Nicola, Francesco Marotta, Ravinder Nagpal, et al.. (2013). Protective Effect of a Fish Egg Homogenate Marine Compound on Arterial Ultrastructure in Spontaneous Hypertensive Rats. Rejuvenation Research. 17(2). 176–179. 2 indexed citations
14.
Mohania, Dheeraj, et al.. (2013). Anticarcinogenic Effect of Probiotic Dahi and Piroxicam on DMH-induced Colorectal Carcinogenesis in Wistar Rats. 1(1). 8–24. 17 indexed citations
15.
Dev, Kapil, Anıl Kumar, Anita Yadav, et al.. (2011). Studies of various microbial contaminants during culturing of amniotic fluid derived cells in buffalo (Bubalus bubalis). 8–12. 2 indexed citations
16.
Nagpal, Ravinder, Pradip V. Behare, Manoj Kumar, et al.. (2011). Milk, Milk Products, and Disease Free Health: An Updated Overview. Critical Reviews in Food Science and Nutrition. 52(4). 321–333. 72 indexed citations
17.
Behare, Pradip V., Richa Singh, Sudhir Kumar Tomar, et al.. (2010). Effect of exopolysaccharide-producing strains of Streptococcus thermophilus on technological attributes of fat-free lassi. Journal of Dairy Science. 93(7). 2874–2879. 28 indexed citations
18.
Kumar, Manoj, Ashok Kumar, Ravinder Nagpal, et al.. (2010). Cancer-preventing attributes of probiotics: an update. International Journal of Food Sciences and Nutrition. 61(5). 473–496. 194 indexed citations
19.
Kumar, Manoj, Dheeraj Mohania, Pradip V. Behare, et al.. (2009). A PROBIOTIC FERMENTED MILK PREPARED BY MIXED CULTURE REDUCES PATHOGEN SHEDDING AND ALLEVIATES DISEASE SIGNS IN RATS CHALLENGED WITH PATHOGENS. 4(3). 211–218. 10 indexed citations
20.
Mohania, Dheeraj, Ravinder Nagpal, Aarti Sonia Bhardwaj, et al.. (2008). Molecular approaches for identification and characterization of lactic acid bacteria. Journal of Digestive Diseases. 9(4). 190–198. 93 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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