A.R. Thakur

436 citations
14 papers · 356 · h-index 9

Impact in

    • interferon and immune responses
    • Immune Response and Inflammation
    • T-cell and B-cell Immunology
    • Cytokine Signaling Pathways and Interactions

Papers in

A.R. Thakur

12 papers receiving 316 citations

Peers

A.R. Thakur
Comparison fields: 5 of 77
  • Immunology 159
  • Oncology 114
  • Pollution 35
  • Biotechnology 25
  • Health, Toxicology and Mutagenesis 38
Replace Shan Zhong with:
Shan Zhong China
Stephen Pelsue United States
Zaolin Wang United States
Cathy M. Mueller United States
Jingrong Huang China
William S. Prince United States
Rainer Russ Germany
Ombretta Repetto Italy
Yueyue Chen China
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A.R. Thakur relative to Shan Zhong China Shan Zhong's profile →
Citations per field
00.5×3.6×
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Citations per year

Countries citing papers authored by A.R. Thakur

Since Specialization
Citations

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

Fields of papers citing papers by A.R. Thakur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.R. Thakur. 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 A.R. Thakur. The network helps show where A.R. Thakur may publish in the future.

Co-authors

The 25 scholars most cited alongside A.R. Thakur, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A.R. Thakur Line = papers co-authored together A.R. Thakur links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1989112
2 198677
3 200741
4 200831
5 200730
6
Microbial genetic resource mapping of East Calcutta wetlands
200621
7 198916
8
Microbial DNA extraction from samples of varied origin
200610
9 20218
10 20165
11 20112
12
Multiple fragment ligation on glass surface: a novel approach.
19942
13
Biochemical activities of denatured covalently closed circular duplex DNA.
19931
14
Sequence-based structural signatures of genome evolution.
20010

About A.R. Thakur

A.R. Thakur is a scholar working on Molecular Biology, Water Science and Technology, Immunology, Materials Chemistry and Pollution, having authored 14 papers that have together received 356 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (2 papers), interferon and immune responses (2 papers), RNA and protein synthesis mechanisms (2 papers), Nanoparticles: synthesis and applications (2 papers), Machine Learning in Bioinformatics (1 paper), Water Quality and Pollution Assessment (1 paper), Bacteriophages and microbial interactions (1 paper) and Bacterial Identification and Susceptibility Testing (1 paper). The work is most often cited by research in Immunology (159 citations), Oncology (114 citations), Pollution (35 citations), Biotechnology (25 citations) and Health, Toxicology and Mutagenesis (38 citations). A.R. Thakur has collaborated with scholars based in India and United States. Frequent co-authors include Shaon Ray Chaudhuri, Péter Lengyel, Himadri Samanta, D A Engel, Madhusmita Mishra, Hsiao‐Ming Chao, Mariano A. García-Blanco, M. Sudarshan, Divaker Choubey and Ghislain Opdenakker. Their work appears in journals such as Journal of Biological Chemistry, Current Science, International Journal of Immunogenetics, OnLine Journal of Biological Sciences and American Journal of Environmental Sciences.

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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