Ansu Bagchi

484 total citations
9 papers, 158 citations indexed

About

Ansu Bagchi is a scholar working on Public Health, Environmental and Occupational Health, Immunology and Epidemiology. According to data from OpenAlex, Ansu Bagchi has authored 9 papers receiving a total of 158 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Public Health, Environmental and Occupational Health, 3 papers in Immunology and 2 papers in Epidemiology. Recurrent topics in Ansu Bagchi's work include Research on Leishmaniasis Studies (3 papers), Immunotherapy and Immune Responses (2 papers) and Mosquito-borne diseases and control (2 papers). Ansu Bagchi is often cited by papers focused on Research on Leishmaniasis Studies (3 papers), Immunotherapy and Immune Responses (2 papers) and Mosquito-borne diseases and control (2 papers). Ansu Bagchi collaborates with scholars based in United States, India and Italy. Ansu Bagchi's co-authors include Arthur Fridman, Gennaro Ciliberto, Nicola La Monica, Jennifer S. Armistead, Derrick Mathias, Rhoel R. Dinglasan, Adam C. Finnefrock, Thomas S. Churcher, Jetsumon Sattabongkot and Magdalena Plebanski and has published in prestigious journals such as PLoS ONE, Clinical Cancer Research and Infection and Immunity.

In The Last Decade

Ansu Bagchi

9 papers receiving 155 citations

Peers

Ansu Bagchi

IMMUN

PHEOH

MB

ONCOL

GENET

Christian A. Lobos Australia

Rebecca W. Olsen Denmark

Karelia Cosme Cuba

David J. Pattinson Australia

Shogo Takatsuka Japan

Elizabeth M. Parzych United States

Alex Fyfe United Kingdom

Scott Drutman United States

Stephen Blackmore United States

Qi Wen Teo United States

Christian A. Lobos Australia

Ansu Bagchi

162 ×1.6

IMMUN

14 ×0.2

PHEOH

100 ×2.0

MB

42 ×1.4

ONCOL

11 ×0.5

GENET

Citations per year, relative to Ansu Bagchi Ansu Bagchi (= 1×) peers Christian A. Lobos

Countries citing papers authored by Ansu Bagchi

Since Specialization

Citations

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

Fields of papers citing papers by Ansu Bagchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ansu Bagchi

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

All Works

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9 of 9 papers shown

1.

Govindarajan, Dhanasekaran, Liming Guan, Arthur Fridman, et al.. (2016). A Rapid and Improved Method to Generate Recombinant Dengue Virus Vaccine Candidates. PLoS ONE. 11(3). e0152209–e0152209. 5 indexed citations

2.

Dogdas, Belma, Antong Chen, Barbara Robinson, et al.. (2015). Characterization of bone abnormalities from micro-CT images for evaluating drug toxicity in developmental and reproductive toxicology (DART) studies. 8. 671–674. 4 indexed citations

3.

Armistead, Jennifer S., Isabelle Morlais, Derrick Mathias, et al.. (2013). Antibodies to a Single, Conserved Epitope in Anopheles APN1 Inhibit Universal Transmission of Plasmodium falciparum and Plasmodium vivax Malaria. Infection and Immunity. 82(2). 818–829. 58 indexed citations

4.

Gorenstein, Julie, et al.. (2010). Reducing the Multidimensionality of High-Content Screening into Versatile Powerful Descriptors. BioTechniques. 49(3). 663–665. 3 indexed citations

5.

Aurisicchio, Luigi, Daniela Peruzzi, Antonella Conforti, et al.. (2009). Treatment of Mammary Carcinomas in HER-2 Transgenic Mice through Combination of Genetic Vaccine and an Agonist of Toll-Like Receptor 9. Clinical Cancer Research. 15(5). 1575–1584. 37 indexed citations

6.

Cipriani, Barbara, Arthur Fridman, Claus Bendtsen, et al.. (2008). Therapeutic Vaccination Halts Disease Progression in BALB- neu T Mice: The Amplitude of Elicited Immune Response Is Predictive of Vaccine Efficacy. Human Gene Therapy. 19(7). 670–680. 34 indexed citations

7.

Kumar, Vijay, Sanjiva Bimal, Santosh Kesari, et al.. (2005). Evaluation of a dot-immunoblot assay for detecting leishmanial antigen in naturally infectedPhlebotomus argentipes(Diptera: Psychodidae). Annals of Tropical Medicine and Parasitology. 99(4). 371–376. 2 indexed citations

8.

Bimal, Sanjiva, Ansu Bagchi, Vidya Nand Rabi Das, et al.. (2001). Effect of immunization with lipid associated polysaccharide antigen and anti CD-2 antibodies on class II MHC expression and cellular immune response in BALB/C mice infected with Leishmania donovani.. PubMed. 39(9). 878–82. 5 indexed citations

9.

Bagchi, Ansu, et al.. (1998). The latex agglutination test: standardization and comparison with direct agglutination and dot-ELISA in the diagnosis of visceral leishmaniasis in India. Annals of Tropical Medicine and Parasitology. 92(2). 159–163. 10 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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