Sambit Dash

585 total citations
28 papers, 341 citations indexed

About

Sambit Dash is a scholar working on Public Health, Environmental and Occupational Health, Nephrology and General Health Professions. According to data from OpenAlex, Sambit Dash has authored 28 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Public Health, Environmental and Occupational Health, 3 papers in Nephrology and 3 papers in General Health Professions. Recurrent topics in Sambit Dash's work include Innovations in Medical Education (3 papers), Peripheral Neuropathies and Disorders (2 papers) and Innovative Teaching Methods (2 papers). Sambit Dash is often cited by papers focused on Innovations in Medical Education (3 papers), Peripheral Neuropathies and Disorders (2 papers) and Innovative Teaching Methods (2 papers). Sambit Dash collaborates with scholars based in India, United States and Bangladesh. Sambit Dash's co-authors include Ramasamy Aarthy, Viswanathan Mohan, Ullas Kamath, Mungli Prakash, Jeevan K. Shetty, Pragna Rao, Guruprasad Rao, Jay Prakash, Abhijit Sarkar and Vivekananda Kedage and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bulletin of the World Health Organization and Frontiers in Public Health.

In The Last Decade

Sambit Dash

27 papers receiving 311 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sambit Dash India 9 82 66 54 31 30 28 341
Josmel Pacheco‐Mendoza Peru 11 50 0.6× 25 0.4× 56 1.0× 21 0.7× 31 1.0× 62 373
Renata Junqueira Pereira Brazil 8 53 0.6× 59 0.9× 151 2.8× 15 0.5× 24 0.8× 45 400
Manoosh Mehrabi Iran 10 53 0.6× 79 1.2× 55 1.0× 34 1.1× 23 0.8× 44 339
Maria Komariah Indonesia 10 36 0.4× 35 0.5× 40 0.7× 53 1.7× 16 0.5× 54 333
Hye‐Young Kang South Korea 11 25 0.3× 40 0.6× 37 0.7× 71 2.3× 12 0.4× 67 367
Maria do Socorro Costa Feitosa Alves Brazil 10 36 0.4× 30 0.5× 117 2.2× 14 0.5× 15 0.5× 42 362
Amer Sindiani Jordan 11 120 1.5× 150 2.3× 86 1.6× 27 0.9× 51 1.7× 43 578
Andy Pulman United Kingdom 10 45 0.5× 44 0.7× 117 2.2× 35 1.1× 16 0.5× 33 266
Zoran Milošević Serbia 10 25 0.3× 23 0.3× 77 1.4× 51 1.6× 17 0.6× 54 374
Jason Chiu United States 7 64 0.8× 17 0.3× 32 0.6× 38 1.2× 26 0.9× 12 266

Countries citing papers authored by Sambit Dash

Since Specialization
Citations

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

Fields of papers citing papers by Sambit Dash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sambit Dash

This figure shows the co-authorship network connecting the top 25 collaborators of Sambit Dash. A scholar is included among the top collaborators of Sambit Dash 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 Sambit Dash. Sambit Dash 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.
Dash, Sambit, et al.. (2024). Fish Type and Disease Classification Using Deep Learning Model Based Customized CNN with Resnet 50 Technique. Journal Of Advanced Zoology. 3 indexed citations
2.
Dash, Sambit, et al.. (2024). Sugammadex vs Neostigmine, a Comparison in Reversing Neuromuscular Blockade: A Narrative Review. Cureus. 16(7). e65656–e65656. 1 indexed citations
3.
Dash, Sambit, et al.. (2024). Navigating Cardiovascular Risk in Type 1 Diabetes: A Comprehensive Review of Strategies for Prevention and Management. Cureus. 16(5). e60426–e60426. 1 indexed citations
4.
Dash, Sambit, et al.. (2023). Period poverty and mental health of menstruators during COVID-19 pandemic: Lessons and implications for the future. SHILAP Revista de lepidopterología. 4. 1128169–1128169. 27 indexed citations
5.
Rao, Arathi P., et al.. (2023). Recommendations for maternal mental health policy in India. Journal of Public Health Policy. 44(1). 90–101. 9 indexed citations
6.
Hameed, B. M. Zeeshan, et al.. (2023). Mitigating Psychological Impacts of Quarantine During Pandemics: A Mini Review. 2(2). 1 indexed citations
7.
Dash, Sambit, Ramasamy Aarthy, & Viswanathan Mohan. (2021). Telemedicine during COVID-19 in India—a new policy and its challenges. Journal of Public Health Policy. 42(3). 501–509. 60 indexed citations
8.
Dash, Sambit, et al.. (2021). Combating the COVID-19 infodemic: a three-level approach for low and middle-income countries. BMJ Global Health. 6(1). e004671–e004671. 32 indexed citations
9.
Dash, Sambit, et al.. (2021). Female Community Health Workers and Health System Navigation in a Conflict Zone: The Case of Afghanistan. Frontiers in Public Health. 9. 704811–704811. 4 indexed citations
10.
Dash, Sambit, M Ganesh Kamath, & Shakta Mani Satyam. (2020). Problematic Mobile Phone Use Among Undergraduate Medical Students and Its Impact on Sleep Quality and Sleep Pattern. Malaysian Journal of Medicine and Health Sciences. 16(4). 132–137. 1 indexed citations
11.
Bhaumik, Soumyadeep, et al.. (2020). Moral philosophy, pragmatism, and the larger cause: why “war” metaphors are needed during pandemics. Indian Journal of Medical Ethics. 5(3). 219–221. 1 indexed citations
12.
Dash, Sambit. (2019). Google classroom as a learning management system to teach biochemistry in a medical school. Biochemistry and Molecular Biology Education. 47(4). 404–407. 61 indexed citations
13.
Aarthy, Ramasamy & Sambit Dash. (2019). Neglect of household biomedical waste. Economic and political weekly. 54(49). 19–21. 1 indexed citations
14.
Dash, Sambit. (2017). Whatever NEXT? Exit exam in medical education. Economic and political weekly. 52(52). 20–22. 4 indexed citations
15.
Dash, Sambit, et al.. (2015). Audio–visual aid in teaching “fatty liver”. Biochemistry and Molecular Biology Education. 44(3). 241–245. 28 indexed citations
16.
Dash, Sambit, et al.. (2014). Pathophysiology and diagnosis of Guillain–Barré syndrome – challenges and needs. International Journal of Neuroscience. 125(4). 235–240. 23 indexed citations
17.
Prakash, Mungli, et al.. (2008). Urinary protein thiols in different grades of proteinuria. Indian Journal of Clinical Biochemistry. 23(4). 404–406. 3 indexed citations
18.
Prakash, Mungli, et al.. (2008). Determination of urinary peptides in patients with proteinuria. Indian Journal of Nephrology. 18(4). 150–150. 8 indexed citations
19.
Somvanshi, R., et al.. (1999). Clinico-pathological effects of bracken fern (Pteridium aquilinum) feeding in laboratory rats. The Indian Journal of Animal Sciences. 69(6). 385–388. 4 indexed citations
20.
Kataria, M., R. Somvanshi, & Sambit Dash. (1998). Biochemical and histological changes in blood, erythrocytes and tissue of rats on feeding Dryopteris juxtaposita fern.. PubMed. 36(5). 510–3. 1 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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