Mandar Paradkar

21 papers receiving 555 citations

Mandar Paradkar's Hit Papers

Association Between Portable Screen-Based Media Device Access or Use and Sleep Outcomes 2016 · 436 citations
4360+3+6Years since publication100200300400

Peers

Mandar Paradkar
Comparison fields: 5 of 78
  • Experimental and Cognitive Psychology 141
  • Education 146
  • Applied Psychology 20
  • Infectious Diseases 71
  • Biological Psychiatry 9
Replace Irene Portilla with:
Irene Portilla Spain
Michael O. Mireku United Kingdom
Yangfeng Guo China
Thalita Mázala-de-Oliveira Brazil
Hong Zeng China
Sue K. Adams United States
Kathy L. Bradley‐Klug United States
Richard J. Chung United States
Lin Cai China
Chia‐Liang Dai United States
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Citations per year

Countries citing papers authored by Mandar Paradkar

Since Specialization
Citations

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

Fields of papers citing papers by Mandar Paradkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Association Between Portable Screen-Based Media Device Access or Use and Sleep Outcomes
Hit paper breakdown →
2016436
2 202027
3 201818
4 201915
5 20229
6 20219
7 20229
8 20188
9 20196
10 20225
11 20234
12 20244
13 20194
14 20233
15 20233
16 20242
17 20202
18 20242
19 20252
20 20242

About Mandar Paradkar

Mandar Paradkar is a scholar working on Infectious Diseases, Surgery, Epidemiology, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 26 papers that have together received 571 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (17 papers), Infectious Diseases and Tuberculosis (4 papers), Mycobacterium research and diagnosis (3 papers), Gut microbiota and health (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Pharmaceutical studies and practices (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper) and Energy and Environment Impacts (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (141 citations), Education (146 citations), Applied Psychology (20 citations), Infectious Diseases (71 citations) and Biological Psychiatry (9 citations). Mandar Paradkar has collaborated with scholars based in United States, India and South Africa. Frequent co-authors include Philippa Rees, Ben Carter, Lauren Hale, Amita Gupta, Vidya Mave, Nikhil Gupte, Vandana Kulkarni, Aarti Kinikar, Neeta Pradhan and Anju Kagal. Their work appears in journals such as The Journal of Infectious Diseases, The International Journal of Tuberculosis and Lung Disease, iScience, Clinical Infectious Diseases and British Journal of Clinical Pharmacology.

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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