Ramapraba Appanna

459 total citations
10 papers, 347 citations indexed

About

Ramapraba Appanna is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Virology. According to data from OpenAlex, Ramapraba Appanna has authored 10 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Public Health, Environmental and Occupational Health, 7 papers in Infectious Diseases and 2 papers in Virology. Recurrent topics in Ramapraba Appanna's work include Mosquito-borne diseases and control (9 papers), Viral Infections and Vectors (7 papers) and Malaria Research and Control (5 papers). Ramapraba Appanna is often cited by papers focused on Mosquito-borne diseases and control (9 papers), Viral Infections and Vectors (7 papers) and Malaria Research and Control (5 papers). Ramapraba Appanna collaborates with scholars based in Singapore, Malaysia and United States. Ramapraba Appanna's co-authors include Shamala Devi Sekaran, Sasheela Ponnampalavanar, Katja Fink, Lucile Warter, Cheng‐I Wang, Ying Xiu Toh, Jamuna Vadivelu, Meihui Xu, Yee‐Sin Leo and Seok Mui Wang and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Frontiers in Immunology.

In The Last Decade

Ramapraba Appanna

9 papers receiving 344 citations

Peers

Ramapraba Appanna

PHEOH

ID

IMMUN

MB

VIROL

Eglys Aguirre Cuba

Nathan M. Liss United States

Viswanathan Ramasamy India

Diana Flores Ecuador

Chong Long Chua Malaysia

Eva Harris United States

Simone M. Costa Brazil

Jared Evans United States

Solomiia Khomandiak United States

Nathan Brown United States

Eglys Aguirre Cuba

Ramapraba Appanna

286 ×1.0

PHEOH

254 ×1.0

ID

52 ×1.3

IMMUN

28 ×0.8

MB

26 ×0.8

VIROL

Citations per year, relative to Ramapraba Appanna Ramapraba Appanna (= 1×) peers Eglys Aguirre

Countries citing papers authored by Ramapraba Appanna

Since Specialization

Citations

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

Fields of papers citing papers by Ramapraba Appanna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramapraba Appanna

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

All Works

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10 of 10 papers shown

1.

Lim, Pei-Yin, Ramapraba Appanna, Angéline Rouers, et al.. (2023). A nonstructural protein 1 capture enzyme-linked immunosorbent assay specific for dengue viruses. PLoS ONE. 18(5). e0285878–e0285878.

2.

Rouers, Angéline, Ramapraba Appanna, Marion Chevrier, et al.. (2021). CD27hiCD38hi plasmablasts are activated B cells of mixed origin with distinct function. iScience. 24(5). 102482–102482. 11 indexed citations

3.

Xu, Meihui, Sumathy Velumani, Ying Xiu Toh, et al.. (2017). A potent neutralizing antibody with therapeutic potential against all four serotypes of dengue virus. npj Vaccines. 2(1). 2–2. 45 indexed citations

4.

Appanna, Ramapraba, Sumathy Velumani, Daniel Carbajo, et al.. (2016). Plasmablasts During Acute Dengue Infection Represent a Small Subset of a Broader Virus-specific Memory B Cell Pool. EBioMedicine. 12. 178–188. 41 indexed citations

5.

Toh, Ying Xiu, Victor C. Gan, Thavamalar Balakrishnan, et al.. (2014). Dengue Serotype Cross-Reactive, Anti-E Protein Antibodies Confound Specific Immune Memory for 1 Year after Infection. Frontiers in Immunology. 5. 388–388. 18 indexed citations

6.

Warter, Lucile, Ramapraba Appanna, & Katja Fink. (2012). Human poly- and cross-reactive anti-viral antibodies and their impact on protection and pathology. Immunologic Research. 53(1-3). 148–161. 19 indexed citations

7.

Appanna, Ramapraba, Seok Mui Wang, Sasheela Ponnampalavanar, Lucy Chai See Lum, & Shamala Devi Sekaran. (2012). Cytokine Factors Present in Dengue Patient Sera Induces Alterations of Junctional Proteins in Human Endothelial Cells. American Journal of Tropical Medicine and Hygiene. 87(5). 936–942. 44 indexed citations

8.

Xu, Meihui, Ramapraba Appanna, Ying Xiu Toh, et al.. (2012). Plasmablasts Generated during Repeated Dengue Infection Are Virus Glycoprotein–Specific and Bind to Multiple Virus Serotypes. The Journal of Immunology. 189(12). 5877–5885. 51 indexed citations

9.

Appanna, Ramapraba, et al.. (2010). Susceptible and Protective HLA Class 1 Alleles against Dengue Fever and Dengue Hemorrhagic Fever Patients in a Malaysian Population. PLoS ONE. 5(9). e13029–e13029. 62 indexed citations

10.

Appanna, Ramapraba, et al.. (2007). Cross-Reactive T-Cell Responses to the Nonstructural Regions of Dengue Viruses among Dengue Fever and Dengue Hemorrhagic Fever Patients in Malaysia. Clinical and Vaccine Immunology. 14(8). 969–977. 56 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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