Anusri Tripathi�

1.2k total citations
46 papers, 888 citations indexed

About

Anusri Tripathi� is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Molecular Medicine. According to data from OpenAlex, Anusri Tripathi� has authored 46 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Public Health, Environmental and Occupational Health, 16 papers in Infectious Diseases and 16 papers in Molecular Medicine. Recurrent topics in Anusri Tripathi�'s work include Mosquito-borne diseases and control (19 papers), Antibiotic Resistance in Bacteria (16 papers) and Viral Infections and Vectors (12 papers). Anusri Tripathi� is often cited by papers focused on Mosquito-borne diseases and control (19 papers), Antibiotic Resistance in Bacteria (16 papers) and Viral Infections and Vectors (12 papers). Anusri Tripathi� collaborates with scholars based in India, United States and Vietnam. Anusri Tripathi�'s co-authors include Arijit Pal, Sudip Kumar Dutta, Carol L. Rosenberg, Antonio de las Morenas, Maureen Kavanah, Michael D. Stone, Jane Mendez, Bibhuti Saha, Paola Sebastiani and Kelly Graham and has published in prestigious journals such as Clinical Cancer Research, American Journal Of Pathology and British Journal of Cancer.

In The Last Decade

Anusri Tripathi�

43 papers receiving 876 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anusri Tripathi� India 18 328 188 176 152 148 46 888
Yanhong Shang China 15 202 0.6× 43 0.2× 90 0.5× 58 0.4× 95 0.6× 43 574
Takahiro Nomura Japan 20 602 1.8× 76 0.4× 174 1.0× 49 0.3× 70 0.5× 74 1.2k
Leo Lin United States 14 524 1.6× 29 0.2× 110 0.6× 182 1.2× 70 0.5× 30 1.1k
Andrew Hollands United States 20 547 1.7× 723 3.8× 613 3.5× 139 0.9× 116 0.8× 25 1.7k
Ritesh Thakare India 11 381 1.2× 42 0.2× 101 0.6× 72 0.5× 97 0.7× 39 814
Syed Aun Muhammad Pakistan 17 547 1.7× 42 0.2× 119 0.7× 72 0.5× 66 0.4× 98 1.2k
Jane M. Knisely United States 9 342 1.0× 39 0.2× 128 0.7× 127 0.8× 49 0.3× 12 920
Jinliang Kong China 12 580 1.8× 33 0.2× 82 0.5× 156 1.0× 40 0.3× 55 1.0k
Samira Dahesh United States 18 409 1.2× 352 1.9× 189 1.1× 43 0.3× 60 0.4× 38 1.0k

Countries citing papers authored by Anusri Tripathi�

Since Specialization
Citations

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

Fields of papers citing papers by Anusri Tripathi�

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anusri Tripathi�. 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 Anusri Tripathi�. The network helps show where Anusri Tripathi� may publish in the future.

Co-authorship network of co-authors of Anusri Tripathi�

This figure shows the co-authorship network connecting the top 25 collaborators of Anusri Tripathi�. A scholar is included among the top collaborators of Anusri Tripathi� 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 Anusri Tripathi�. Anusri Tripathi� 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
1.
2.
Saha, Bibhuti, et al.. (2022). Importance of NFκβ, IL-10 serum levels and DC-SIGN polymorphic haplotypes in determining dengue disease severity among eastern Indian patients. Microbial Pathogenesis. 173(Pt B). 105870–105870. 2 indexed citations
3.
4.
Saha, Bibhuti, et al.. (2022). Clinical significance of differential serum-signatures for early prediction of severe dengue among Eastern Indian patients. Clinical & Experimental Immunology. 208(1). 72–82. 9 indexed citations
5.
Dutta, Sudip Kumar, et al.. (2022). In silico and in vitro evaluation of silibinin: a promising anti-Chikungunya agent. In Vitro Cellular & Developmental Biology - Animal. 58(3). 255–267. 5 indexed citations
6.
Tripathi�, Anusri, et al.. (2021). Association of C-reactive protein polymorphisms with serum-CRP concentration and viral load among dengue-chikungunya mono/co-infected patients. Antiviral Research. 197. 105225–105225. 7 indexed citations
7.
Tripathi�, Anusri, et al.. (2020). Re-emergence of Chikungunya virus infection in Eastern India. Brazilian Journal of Microbiology. 51(1). 177–182. 17 indexed citations
8.
Pal, Arijit, Indrani Bhattacharyya, & Anusri Tripathi�. (2020). Structure-based functional fitness analyses of carbapenemase variants identified among pathogenic carbapenem-resistant Gram-negative bacteria. World Journal of Microbiology and Biotechnology. 36(9). 129–129.
9.
Tripathi�, Anusri, et al.. (2020). Association of serum C-reactive protein level and polymorphisms with susceptibility to dengue infection and severe clinical outcome among eastern Indian patients. Medical Microbiology and Immunology. 209(5). 631–640. 6 indexed citations
10.
Tripathi�, Anusri, et al.. (2019). Contribution of Toll like receptor polymorphisms to dengue susceptibility and clinical outcome among eastern Indian patients. Immunobiology. 224(6). 774–785. 9 indexed citations
11.
Tripathi�, Anusri, et al.. (2019). Cinnamaldehyde: a compound with antimicrobial and synergistic activity against ESBL-producing quinolone-resistant pathogenic Enterobacteriaceae. European Journal of Clinical Microbiology & Infectious Diseases. 39(1). 65–73. 38 indexed citations
12.
13.
Dutta, Sudip Kumar, Tamanash Bhattacharya, & Anusri Tripathi�. (2018). Chikungunya virus: genomic microevolution in Eastern India and its in-silico epitope prediction. 3 Biotech. 8(7). 318–318. 6 indexed citations
14.
Dutta, Sudip Kumar & Anusri Tripathi�. (2017). Association of toll-like receptor polymorphisms with susceptibility to chikungunya virus infection. Virology. 511. 207–213. 52 indexed citations
15.
Pal, Arijit & Anusri Tripathi�. (2016). An in silico approach to elucidate structure based functional evolution of oxacillinase. Computational Biology and Chemistry. 64. 145–153. 3 indexed citations
16.
Saha, Bhaskar, et al.. (2012). Prevalence of chikungunya and dengue in a recent outbreak of seasonal febrile illness: an observational study in a tertiary referral hospital at Kolkata, India. International Journal of Infectious Diseases. 16. e108–e108. 1 indexed citations
17.
Graham, Kelly, Xijin Ge, Antonio de las Morenas, Anusri Tripathi�, & Carol L. Rosenberg. (2010). Gene Expression Profiles of Estrogen Receptor–Positive and Estrogen Receptor–Negative Breast Cancers Are Detectable in Histologically Normal Breast Epithelium. Clinical Cancer Research. 17(2). 236–246. 55 indexed citations
18.
Morenas, Antonio de las, Anusri Tripathi�, Maureen Kavanah, et al.. (2010). Gene expression in histologically normal epithelium from breast cancer patients and from cancer-free prophylactic mastectomy patients shares a similar profile. British Journal of Cancer. 102(8). 1284–1293. 75 indexed citations
19.
Tripathi�, Anusri, Bohdana Burke, Erwin F. Hirsch, et al.. (2007). Gene expression abnormalities in histologically normal breast epithelium of breast cancer patients. International Journal of Cancer. 122(7). 1557–1566. 99 indexed citations
20.
Tripathi�, Anusri, Soma Banerjee, Anup Roy, Susanta Roychowdhury, & Chinmay Kumar Panda. (2003). Alterations of the P16 gene in uterine cervical carcinoma from Indian patients. International Journal of Gynecological Cancer. 13(4). 472–479. 16 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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