Banabihari Giri

1.7k total citations · 1 hit paper
22 papers, 1.4k citations indexed

About

Banabihari Giri is a scholar working on Molecular Biology, Neurology and Neurology. According to data from OpenAlex, Banabihari Giri has authored 22 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Neurology and 3 papers in Neurology. Recurrent topics in Banabihari Giri's work include Parkinson's Disease Mechanisms and Treatments (6 papers), Advanced biosensing and bioanalysis techniques (5 papers) and DNA and Nucleic Acid Chemistry (4 papers). Banabihari Giri is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (6 papers), Advanced biosensing and bioanalysis techniques (5 papers) and DNA and Nucleic Acid Chemistry (4 papers). Banabihari Giri collaborates with scholars based in United States, Switzerland and India. Banabihari Giri's co-authors include Gabriela Chiosis, Philip N. Tsichlis, Neal Rosen, David B. Solit, Andrea Basso, Dennis D. Taub, James P. Vaughn, Steven A. Akman, Yoshikuni Nagamine and Simon Lattmann and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Blood.

In The Last Decade

Banabihari Giri

22 papers receiving 1.4k citations

Hit Papers

Akt Forms an Intracellular Complex with Heat Shock Protei... 2002 2026 2010 2018 2002 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Banabihari Giri United States 15 981 195 142 134 112 22 1.4k
Tomoko Masuda Japan 21 653 0.7× 106 0.5× 77 0.5× 102 0.8× 111 1.0× 56 1.4k
Young‐Gyu Ko South Korea 21 1.2k 1.2× 221 1.1× 157 1.1× 410 3.1× 321 2.9× 49 1.8k
Giuseppina Pitari Italy 20 716 0.7× 134 0.7× 44 0.3× 133 1.0× 131 1.2× 51 1.5k
Xiaohua Xu China 19 829 0.8× 138 0.7× 19 0.1× 80 0.6× 72 0.6× 66 1.4k
Donald E. Sykes United States 21 502 0.5× 171 0.9× 68 0.5× 54 0.4× 66 0.6× 39 1.2k
Sonja Aits Sweden 13 681 0.7× 146 0.7× 44 0.3× 201 1.5× 145 1.3× 16 1.3k
Christopher K. Daniels United States 18 443 0.5× 234 1.2× 36 0.3× 99 0.7× 76 0.7× 37 1.1k
Hong Hu China 17 850 0.9× 136 0.7× 44 0.3× 236 1.8× 378 3.4× 32 1.5k
Yohei Ishibashi Japan 15 527 0.5× 42 0.2× 58 0.4× 79 0.6× 241 2.2× 40 839
Ivaylo P. Ivanov United States 20 1.8k 1.8× 96 0.5× 27 0.2× 108 0.8× 65 0.6× 43 2.1k

Countries citing papers authored by Banabihari Giri

Since Specialization
Citations

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

Fields of papers citing papers by Banabihari Giri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Banabihari Giri

This figure shows the co-authorship network connecting the top 25 collaborators of Banabihari Giri. A scholar is included among the top collaborators of Banabihari Giri 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 Banabihari Giri. Banabihari Giri 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.
Chong, Raymond, et al.. (2021). Niacin Enhancement for Parkinson’s Disease: An Effectiveness Trial. Frontiers in Aging Neuroscience. 13. 667032–667032. 30 indexed citations
3.
Giri, Banabihari, Aditi Banerjee, Sharad Purohit, et al.. (2021). Emerging urinary alpha-synuclein and miRNA biomarkers in Parkinson’s disease. Metabolic Brain Disease. 37(6). 1687–1696. 12 indexed citations
4.
Wakade, Chandramohan, Banabihari Giri, Aneeq Malik, et al.. (2018). Niacin modulates macrophage polarization in Parkinson's disease. Journal of Neuroimmunology. 320. 76–79. 57 indexed citations
5.
Ghosh, Anirban, et al.. (2015). Probing the role of Proline in the antimicrobial activity and lipopolysaccharide binding of indolicidin. Journal of Colloid and Interface Science. 452. 148–159. 23 indexed citations
6.
Smaldino, Philip J., Eric D. Routh, Jung H. Kim, et al.. (2015). Mutational Dissection of Telomeric DNA Binding Requirements of G4 Resolvase 1 Shows that G4-Structure and Certain 3’-Tail Sequences Are Sufficient for Tight and Complete Binding. PLoS ONE. 10(7). e0132668–e0132668. 14 indexed citations
7.
Petty, Jeffrey T., et al.. (2013). Silver Clusters as Both Chromophoric Reporters and DNA Ligands. Analytical Chemistry. 85(4). 2183–2190. 52 indexed citations
8.
Petty, Jeffrey T., et al.. (2013). A Silver Cluster–DNA Equilibrium. Analytical Chemistry. 85(20). 9868–9876. 51 indexed citations
9.
Giri, Banabihari, Philip J. Smaldino, Steven D. Creacy, et al.. (2011). G4 Resolvase 1 tightly binds and unwinds unimolecular G4-DNA. Nucleic Acids Research. 39(16). 7161–7178. 78 indexed citations
10.
Huang, Weiwei, Philip J. Smaldino, Qiang Zhang, et al.. (2011). Yin Yang 1 contains G-quadruplex structures in its promoter and 5′-UTR and its expression is modulated by G4 resolvase 1. Nucleic Acids Research. 40(3). 1033–1049. 85 indexed citations
11.
Lattmann, Simon, Banabihari Giri, James P. Vaughn, Steven A. Akman, & Yoshikuni Nagamine. (2010). Role of the amino terminal RHAU-specific motif in the recognition and resolution of guanine quadruplex-RNA by the DEAH-box RNA helicase RHAU. Nucleic Acids Research. 38(18). 6219–6233. 112 indexed citations
12.
Coelho, Valéria de Mello, Banabihari Giri, Ashani T. Weeraratna, et al.. (2010). Fat-Storing Multilocular Cells Expressing CCR5 Increase in the Thymus with Advancing Age: Potential Role for CCR5 Ligands on the Differentiation and Migration of Preadipocytes. International Journal of Medical Sciences. 7(1). 1–14. 18 indexed citations
15.
Giri, Banabihari, Vishwa Deep Dixit, Manik C. Ghosh, et al.. (2007). CXCL12‐induced partitioning of flotillin‐1 with lipid rafts plays a role in CXCR4 function. European Journal of Immunology. 37(8). 2104–2116. 36 indexed citations
16.
Nguyen, Dzung, Banabihari Giri, Gary D. Collins, & Dennis D. Taub. (2004). Dynamic reorganization of chemokine receptors, cholesterol, lipid rafts, and adhesion molecules to sites of CD4 engagement. Experimental Cell Research. 304(2). 559–569. 72 indexed citations
17.
Coelho, Valéria de Mello, et al.. (2004). Quantitative differences in lipid raft components between murine CD4+ and CD8+ T cells. BMC Immunology. 5(1). 2–2. 41 indexed citations
18.
Basso, Andrea, David B. Solit, Gabriela Chiosis, et al.. (2002). Akt Forms an Intracellular Complex with Heat Shock Protein 90 (Hsp90) and Cdc37 and Is Destabilized by Inhibitors of Hsp90 Function. Journal of Biological Chemistry. 277(42). 39858–39866. 524 indexed citations breakdown →
19.
Giri, Banabihari, et al.. (1996). Relative importance of inositol (1,4,5)trisphosphate and inositol (1,3,4,5)tetrakisphosphate in Entamoeba histolytica. FEBS Letters. 393(1). 109–112. 9 indexed citations
20.
Raha, Sanghamitra, et al.. (1995). Inositol(1,3,4,5) tetrakisphosphate plays an important role in calcium mobilization from Entamoeba histolytica. FEBS Letters. 362(3). 316–318. 14 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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