Ashis Das

1.4k total citations
41 papers, 1.1k citations indexed

About

Ashis Das is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology and Immunology. According to data from OpenAlex, Ashis Das has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Public Health, Environmental and Occupational Health, 11 papers in Molecular Biology and 10 papers in Immunology. Recurrent topics in Ashis Das's work include Malaria Research and Control (30 papers), Mosquito-borne diseases and control (19 papers) and Invertebrate Immune Response Mechanisms (6 papers). Ashis Das is often cited by papers focused on Malaria Research and Control (30 papers), Mosquito-borne diseases and control (19 papers) and Invertebrate Immune Response Mechanisms (6 papers). Ashis Das collaborates with scholars based in India, United States and Australia. Ashis Das's co-authors include Dhanpat Kumar Kochar, Sanjay Kumar Kochar, Vishal Saxena, S. Vijay Kumar, M.V. Sangaranarayanan, Shilpi Garg, Sheetal Middha, Deepak Pakalapati, TK Sundari Ravindran and Amit Kumar Subudhi and has published in prestigious journals such as The Lancet, Emerging infectious diseases and Gene.

In The Last Decade

Ashis Das

40 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashis Das India 19 834 221 183 145 103 41 1.1k
Khin Lin South Korea 18 641 0.8× 193 0.9× 105 0.6× 102 0.7× 84 0.8× 34 888
J. Kevin Baird United States 10 1.4k 1.7× 322 1.5× 153 0.8× 244 1.7× 148 1.4× 11 1.6k
María Isabel Veiga Portugal 20 1.1k 1.3× 186 0.8× 102 0.6× 43 0.3× 229 2.2× 44 1.3k
Neelima Mishra India 16 774 0.9× 132 0.6× 111 0.6× 55 0.4× 108 1.0× 38 952
Chanthap Lon United States 18 749 0.9× 173 0.8× 102 0.6× 66 0.5× 141 1.4× 50 890
Martin P. Grobusch Germany 16 619 0.7× 169 0.8× 58 0.3× 76 0.5× 116 1.1× 24 747
Hervé Bogreau France 20 809 1.0× 183 0.8× 101 0.6× 72 0.5× 241 2.3× 52 1.1k
Andrea Kreidenweiss Germany 17 366 0.4× 133 0.6× 199 1.1× 54 0.4× 179 1.7× 49 738
Stephanie K. Yanow Canada 13 411 0.5× 142 0.6× 198 1.1× 42 0.3× 105 1.0× 24 739
Erika L. Flannery United States 20 693 0.8× 104 0.5× 279 1.5× 166 1.1× 147 1.4× 31 1.1k

Countries citing papers authored by Ashis Das

Since Specialization
Citations

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

Fields of papers citing papers by Ashis Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashis Das

This figure shows the co-authorship network connecting the top 25 collaborators of Ashis Das. A scholar is included among the top collaborators of Ashis Das 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 Ashis Das. Ashis Das 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
2.
Subudhi, Amit Kumar, Sheetal Middha, Jyoti Acharya, et al.. (2016). Design, construction and validation of a Plasmodium vivax microarray for the transcriptome profiling of clinical isolates. Acta Tropica. 164. 438–447. 2 indexed citations
3.
Subudhi, Amit Kumar, Sheetal Middha, Jyoti Acharya, et al.. (2016). A cross strain Plasmodium falciparum microarray optimized for the transcriptome analysis of Plasmodium falciparum patient derived isolates. Genomics Data. 9. 118–125. 6 indexed citations
4.
Subudhi, Amit Kumar, Shilpi Garg, Sheetal Middha, et al.. (2014). Dataset of natural antisense transcripts in P. vivax clinical isolates derived using custom designed strand-specific microarray. Genomics Data. 2. 199–201. 4 indexed citations
5.
Subudhi, Amit Kumar, Shilpi Garg, Sheetal Middha, et al.. (2014). An in vivo transcriptome data set of natural antisense transcripts from Plasmodium falciparum clinical isolates. Genomics Data. 2. 393–395. 3 indexed citations
6.
Subudhi, Amit Kumar, Shilpi Garg, Sheetal Middha, et al.. (2014). Natural antisense transcripts in Plasmodium falciparum isolates from patients with complicated malaria. Experimental Parasitology. 141. 39–54. 11 indexed citations
7.
Subudhi, Amit Kumar, Shilpi Garg, Sheetal Middha, et al.. (2013). Revealing natural antisense transcripts from Plasmodium vivax isolates: Evidence of genome regulation in complicated malaria. Infection Genetics and Evolution. 20. 428–443. 11 indexed citations
9.
Tanwar, Gajanand Singh, Abhishek Kochar, Sanjay Kumar Kochar, et al.. (2011). Clinical profiles of 13 children withPlasmodium vivaxcerebral malaria. Annals of Tropical Paediatrics. 31(4). 351–356. 44 indexed citations
10.
Putarjunan, Aarthi, et al.. (2011). Characterization of temperature inducible promoters from a novel rolling circle replicating plasmid of Enterococcus faecium DJ1. Plasmid. 67(3). 211–226. 3 indexed citations
11.
Tanwar, Gajanand Singh, Abhishek Kochar, Sheetal Middha, et al.. (2011). Thrombocytopenia in childhood malaria with special reference toP. vivaxmonoinfection: A study from Bikaner (Northwestern India). Platelets. 23(3). 211–216. 27 indexed citations
12.
Kochar, Dhanpat Kumar, Ashis Das, Abhishek Kochar, et al.. (2010). Thrombocytopenia inPlasmodium falciparum,Plasmodium vivaxand mixed infection malaria: A study from Bikaner (Northwestern India). Platelets. 21(8). 623–627. 70 indexed citations
13.
Das, Ashis, et al.. (2009). CD36 T188G gene polymorphism and severe falciparum malaria in India. Transactions of the Royal Society of Tropical Medicine and Hygiene. 103(7). 687–690. 11 indexed citations
14.
Rajesh, Vidya, et al.. (2008). Plasmodium falciparum: Genetic polymorphism in apical membrane antigen-1 gene from Indian isolates. Experimental Parasitology. 119(1). 144–151. 11 indexed citations
15.
Rajesh, Vidya, et al.. (2007). Plasmodium vivax: Genetic diversity of the apical membrane antigen-1 (AMA-1) in isolates from India. Experimental Parasitology. 116(3). 252–256. 31 indexed citations
16.
Saxena, Vishal, et al.. (2007). Analysis of elongation factor Tu (tuf A) of apicoplast from Indian Plasmodium vivax isolates. Infection Genetics and Evolution. 7(5). 618–626. 8 indexed citations
17.
Kochar, Dhanpat Kumar, Deepak Pakalapati, Sanjay Kumar Kochar, et al.. (2007). An unexpected cause of fever and seizures. The Lancet. 370(9590). 908–908. 25 indexed citations
18.
Ranjit‬, Manoranjan, et al.. (2005). Distribution of Plasmodium falciparum genotypes in clinically mild and severe malaria cases in Orissa, India. Transactions of the Royal Society of Tropical Medicine and Hygiene. 99(5). 389–395. 43 indexed citations
19.
Das, Ashis, Brian Holloway, William E. Collins, et al.. (1995). Species-specific 18S rRNA gene amplification for the detection ofP. falciparumandP. vivaxmalaria parasites. Molecular and Cellular Probes. 9(3). 161–165. 41 indexed citations
20.
Ehtesham, Nasreen Z., Ashis Das, & Seyed E. Hasnain. (1992). A novel probe for human DNA fingerprinting based on chi-like sequences. Gene. 111(2). 261–263. 7 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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