Man Mohan Parida

614 total citations
9 papers, 487 citations indexed

About

Man Mohan Parida is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Epidemiology. According to data from OpenAlex, Man Mohan Parida has authored 9 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 9 papers in Public Health, Environmental and Occupational Health and 2 papers in Epidemiology. Recurrent topics in Man Mohan Parida's work include Mosquito-borne diseases and control (9 papers), Viral Infections and Vectors (9 papers) and Malaria Research and Control (5 papers). Man Mohan Parida is often cited by papers focused on Mosquito-borne diseases and control (9 papers), Viral Infections and Vectors (9 papers) and Malaria Research and Control (5 papers). Man Mohan Parida collaborates with scholars based in India and France. Man Mohan Parida's co-authors include Paban Kumar Dash, Parag Saxena, P. Venkata Rao, Asha Mukul Jana, S.R. Santhosh, Vemu Lakshmi, Mamidi Neeraja, PV Lakshmana Rao, K. Sekhar and Pramod K. Dash and has published in prestigious journals such as Clinical Infectious Diseases, PLoS neglected tropical diseases and Journal of Medical Virology.

In The Last Decade

Man Mohan Parida

9 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Man Mohan Parida India 8 446 388 43 41 34 9 487
Sumalee Chanama Thailand 10 516 1.2× 404 1.0× 37 0.9× 35 0.9× 44 1.3× 14 553
Supriya Hundekar India 8 425 1.0× 382 1.0× 26 0.6× 34 0.8× 19 0.6× 14 463
Ankita Agarwal India 13 476 1.1× 383 1.0× 45 1.0× 80 2.0× 47 1.4× 32 574
Sonia Valle Nicaragua 8 412 0.9× 243 0.6× 37 0.9× 72 1.8× 55 1.6× 11 468
Edward Gitau Matumbi Mathenge Japan 7 430 1.0× 363 0.9× 30 0.7× 35 0.9× 10 0.3× 8 463
Chuan Chin Taiwan 13 642 1.4× 554 1.4× 83 1.9× 49 1.2× 24 0.7× 16 701
D Bhattacharya India 7 286 0.6× 257 0.7× 29 0.7× 18 0.4× 22 0.6× 10 389
Trudy V. Chambers United States 10 333 0.7× 281 0.7× 32 0.7× 47 1.1× 18 0.5× 11 373
PV Lakshmana Rao India 9 315 0.7× 291 0.8× 33 0.8× 20 0.5× 26 0.8× 10 476
J.A. Patil India 7 338 0.8× 258 0.7× 27 0.6× 29 0.7× 41 1.2× 11 375

Countries citing papers authored by Man Mohan Parida

Since Specialization
Citations

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

Fields of papers citing papers by Man Mohan Parida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Man Mohan Parida. 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 Man Mohan Parida. The network helps show where Man Mohan Parida may publish in the future.

Co-authorship network of co-authors of Man Mohan Parida

This figure shows the co-authorship network connecting the top 25 collaborators of Man Mohan Parida. A scholar is included among the top collaborators of Man Mohan Parida 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 Man Mohan Parida. Man Mohan Parida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Agarwal, Ankita, Ajay Sharma, D. Sukumaran, et al.. (2016). Mosquito saliva induced cutaneous events augment Chikungunya virus replication and disease progression. Infection Genetics and Evolution. 40. 126–135. 28 indexed citations
2.
Dash, Pramod K., Ankita Agarwal, Shashi Sharma, et al.. (2016). Development of a SYBR green I-based quantitative RT-PCR for Ross River virus: Application in vector competence studies and antiviral drug evaluation. Journal of Virological Methods. 234. 107–114. 7 indexed citations
3.
Agarwal, Ankita, Pramod K. Dash, Ajay Singh, et al.. (2014). Evidence of Experimental Vertical Transmission of Emerging Novel ECSA Genotype of Chikungunya Virus in Aedes aegypti. PLoS neglected tropical diseases. 8(7). e2990–e2990. 57 indexed citations
5.
Lakshmi, Vemu, Mamidi Neeraja, Man Mohan Parida, et al.. (2008). Clinical Features and Molecular Diagnosis of Chikungunya Fever from South India. Clinical Infectious Diseases. 46(9). 1436–1442. 105 indexed citations
6.
Santhosh, S.R., Man Mohan Parida, Paban Kumar Dash, et al.. (2007). Development and evaluation of SYBR Green I-based one-step real-time RT-PCR assay for detection and quantitation of Japanese encephalitis virus. Journal of Virological Methods. 143(1). 73–80. 54 indexed citations
7.
Dash, Paban Kumar, Parag Saxena, Rakesh Bhargava, et al.. (2006). Comparison of a Dipstick Dot-ELISA with Commercial Assays for Anti-Dengue Virus IgM Antibodies. Viral Immunology. 19(4). 630–636. 13 indexed citations
8.
Dash, Paban Kumar, Man Mohan Parida, Parag Saxena, et al.. (2006). Reemergence of dengue virus type-3 (subtype-III) in India: Implications for increased incidence of DHF & DSS. Virology Journal. 3(1). 55–55. 118 indexed citations
9.
Dash, Paban Kumar, Man Mohan Parida, Parag Saxena, et al.. (2004). Emergence and continued circulation of dengue‐2 (genotype IV) virus strains in northern India. Journal of Medical Virology. 74(2). 314–322. 78 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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