Bindu Nanduri

2.4k total citations
58 papers, 1.8k citations indexed

About

Bindu Nanduri is a scholar working on Molecular Biology, Epidemiology and Food Science. According to data from OpenAlex, Bindu Nanduri has authored 58 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 11 papers in Epidemiology and 7 papers in Food Science. Recurrent topics in Bindu Nanduri's work include Genomics and Phylogenetic Studies (7 papers), Pneumonia and Respiratory Infections (7 papers) and Genomics, phytochemicals, and oxidative stress (6 papers). Bindu Nanduri is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Pneumonia and Respiratory Infections (7 papers) and Genomics, phytochemicals, and oxidative stress (6 papers). Bindu Nanduri collaborates with scholars based in United States and United Kingdom. Bindu Nanduri's co-authors include Piotr Zimniak, Sanjay Awasthi, Fiona McCarthy, Sanjay Srivastava, Ranjit Kumar, Joanna Bandorowicz‐Pikuła, Sławomir Pikuła, Sharad S. Singhal, Cathy Gresham and Mais Ammari and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Bindu Nanduri

52 papers receiving 1.8k citations

Peers

Bindu Nanduri

GENET

EPIDE

PHEOH

Thidathip Wongsurawat Thailand

Mariette Matondo France

Wolfgang Egge‐Jacobsen Norway

Fiona McCarthy United States

Alois Harder Germany

Michelle Giglio United States

Lars Kiemer Denmark

Rosa Anna Siciliano Italy

Eula Fung United States

Thidathip Wongsurawat Thailand

Bindu Nanduri

1.0k ×0.8

149 ×0.6

GENET

140 ×0.8

EPIDE

133 ×0.8

105 ×0.9

PHEOH

Citations per year, relative to Bindu Nanduri Bindu Nanduri (= 1×) peers Thidathip Wongsurawat

Countries citing papers authored by Bindu Nanduri

Since Specialization

Citations

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

Fields of papers citing papers by Bindu Nanduri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bindu Nanduri

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Rothrock, Michael J., et al.. (2024). Towards Interpreting Multi-Objective Feature Associations. 18. 1–8.

Chen, Zhiqian, et al.. (2024). Leveraging Graph Neural Networks for MIC Prediction in Antimicrobial Resistance Studies. PubMed. 2024. 1–4.

Balasubramaniam, Krishnan, et al.. (2024). Predicting Salmonella MIC and Deciphering Genomic Determinants of Antibiotic Resistance and Susceptibility. Microorganisms. 12(1). 134–134. 5 indexed citations

Lee, Jung Hwa, et al.. (2024). Characterization of an Arginine Decarboxylase from Streptococcus pneumoniae by Ultrahigh-Performance Liquid Chromatography–Tandem Mass Spectrometry. Biomolecules. 14(4). 463–463.

Shack, Leslie A., et al.. (2024). Impact of Difluoromethylornithine and AMXT 1501 on Gene Expression and Capsule Regulation in Streptococcus pneumoniae. Biomolecules. 14(2). 178–178. 1 indexed citations

Rothrock, Michael J., et al.. (2023). Deep Sensitivity Analysis for Objective-Oriented Combinatorial Optimization. 18. 519–525.

Nanduri, Bindu, et al.. (2023). Predicting foodborne pathogens and probiotics taxa within poultry-related microbiomes using a machine learning approach. SHILAP Revista de lepidopterología. 5(1). 57–57. 10 indexed citations

Nanduri, Bindu, et al.. (2022). An ensemble learning approach to identify pastured poultry farm practice variables and soil constituents that promote Salmonella prevalence. Heliyon. 8(11). e11331–e11331. 7 indexed citations

Hill, Rebecca, Joseph P. Emerson, Bindu Nanduri, et al.. (2020). Streptococcus pneumoniae metal homeostasis alters cellular metabolism. Metallomics. 12(9). 1416–1427. 8 indexed citations

10.

Nanduri, Bindu, Cathy Gresham, Winnie W. Hui, et al.. (2020). An atlas of the catalytically active liver and spleen kinases in chicken identified by chemoproteomics. Journal of Proteomics. 225. 103850–103850. 2 indexed citations

11.

Ammari, Mais, Cathy Gresham, Fiona McCarthy, & Bindu Nanduri. (2016). HPIDB 2.0: a curated database for host–pathogen interactions. Database. 2016. baw103–baw103. 202 indexed citations

12.

Nanduri, Bindu, Leslie A. Shack, William B. Epperson, et al.. (2016). Use of focused ultrasonication in activity-based profiling of deubiquitinating enzymes in tissue. Analytical Biochemistry. 515. 9–13. 4 indexed citations

13.

Hsu, Chuan-Yu, et al.. (2015). Activity-Based Proteomic Profiling of Deubiquitinating Enzymes in Salmonella-Infected Macrophages Leads to Identification of Putative Function of UCH-L5 in Inflammasome Regulation. PLoS ONE. 10(8). e0135531–e0135531. 33 indexed citations

14.

McCarthy, Fiona, et al.. (2014). Identification of canine platelet proteins separated by differential detergent fractionation for nonelectrophoretic proteomics analyzed by Gene Ontology and pathways analysis. SHILAP Revista de lepidopterología. 5. 1–1. 3 indexed citations

15.

Nanduri, Bindu, Akamol E. Suvarnapunya, Malabi M. Venkatesan, & Mariola J. Edelmann. (2013). Deubiquitinating Enzymes as Promising Drug Targets for Infectious Diseases. Current Pharmaceutical Design. 19(18). 3234–3247. 31 indexed citations

16.

Nanduri, Bindu, et al.. (2008). Bovine Viral Diarrhea Virus infection affects the expression of proteins related to professional antigen presentation in bovine monocytes. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1794(1). 14–22. 24 indexed citations

17.

McCarthy, Fiona, Nan Wang, Bindu Nanduri, et al.. (2006). AgBase: a functional genomics resource for agriculture. BMC Genomics. 7(1). 229–229. 235 indexed citations

18.

Nanduri, Bindu. (2001). Measurement of steady-state kinetic parameters for DNA unwinding by the bacteriophage T4 Dda helicase: use of peptide nucleic acids to trap single-stranded DNA products of helicase reactions. Nucleic Acids Research. 29(13). 2829–2835. 13 indexed citations

19.

Hu, Xun, Xinhua Ji, Sanjay Srivastava, et al.. (1997). Mechanism of Differential Catalytic Efficiency of Two Polymorphic Forms of Human GlutathioneS-Transferase P1-1 in the Glutathione Conjugation of Carcinogenic Diol Epoxide of Chrysene. Archives of Biochemistry and Biophysics. 345(1). 32–38. 67 indexed citations

20.

Nanduri, Bindu, et al.. (1996). Amino Acid Residue 104 in an α-Class GlutathioneS-Transferase Is Essential for the High Selectivity and Specificity of the Enzyme for 4-Hydroxynonenal. Archives of Biochemistry and Biophysics. 335(2). 305–310. 20 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.

Explore authors with similar magnitude of impact