Girija Krishnamurthy

801 total citations
17 papers, 661 citations indexed

About

Girija Krishnamurthy is a scholar working on Molecular Biology, Oncology and Infectious Diseases. According to data from OpenAlex, Girija Krishnamurthy has authored 17 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Infectious Diseases. Recurrent topics in Girija Krishnamurthy's work include Cancer-related Molecular Pathways (3 papers), Glycosylation and Glycoproteins Research (2 papers) and HIV Research and Treatment (2 papers). Girija Krishnamurthy is often cited by papers focused on Cancer-related Molecular Pathways (3 papers), Glycosylation and Glycoproteins Research (2 papers) and HIV Research and Treatment (2 papers). Girija Krishnamurthy collaborates with scholars based in United States, Canada and Iran. Girija Krishnamurthy's co-authors include Hassan Elokdah, Magid Abou‐Gharbia, David L. Crandall, James K. Hennan, George A. Ellestad, Juliette O’Connell, Rajiv Chopra, Tarek S. Mansour, Sridhar K. Rabindran and Joel Bard and has published in prestigious journals such as Biochemistry, Journal of Medicinal Chemistry and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Girija Krishnamurthy

17 papers receiving 636 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Girija Krishnamurthy United States 14 205 186 138 119 107 17 661
Jim Nonomiya United States 13 390 1.9× 127 0.7× 79 0.6× 110 0.9× 82 0.8× 18 659
Anton Cheltsov United States 13 338 1.6× 121 0.7× 93 0.7× 24 0.2× 42 0.4× 19 640
Tami Annable United States 17 571 2.8× 127 0.7× 95 0.7× 45 0.4× 72 0.7× 23 1.0k
Masako Kuno Japan 14 291 1.4× 101 0.5× 97 0.7× 16 0.1× 63 0.6× 25 614
Pablo Ríos‐Marco Spain 14 289 1.4× 51 0.3× 56 0.4× 26 0.2× 55 0.5× 25 463
Jadd R. Shelton United States 9 281 1.4× 163 0.9× 94 0.7× 48 0.4× 166 1.6× 13 521
Wah-Tung Hum Canada 13 241 1.2× 70 0.4× 43 0.3× 32 0.3× 18 0.2× 19 548
Katherine A. Felts United States 13 428 2.1× 33 0.2× 85 0.6× 28 0.2× 22 0.2× 19 836
David A. Ellis United States 16 207 1.0× 146 0.8× 54 0.4× 23 0.2× 47 0.4× 38 580
Chang-Rung Chen United States 7 666 3.2× 51 0.3× 49 0.4× 161 1.4× 25 0.2× 17 922

Countries citing papers authored by Girija Krishnamurthy

Since Specialization
Citations

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

Fields of papers citing papers by Girija Krishnamurthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Girija Krishnamurthy

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

All Works

17 of 17 papers shown
1.
Sahin, Cagla, Camilla Andersen, Nikolai Lorenzen, et al.. (2018). Potent α-Synuclein Aggregation Inhibitors, Identified by High-Throughput Screening, Mainly Target the Monomeric State. Cell chemical biology. 25(11). 1389–1402.e9. 58 indexed citations
2.
Dhillon, Harbhajan S., et al.. (2017). Identification of a host cell protein impurity in therapeutic protein, P1. Journal of Pharmaceutical and Biomedical Analysis. 141. 32–38. 10 indexed citations
3.
Esterman, Abbie L., Amit Katiyar, & Girija Krishnamurthy. (2016). Implementation of USP antibody standard for system suitability in capillary electrophoresis sodium dodecyl sulfate (CE-SDS) for release and stability methods. Journal of Pharmaceutical and Biomedical Analysis. 128. 447–454. 26 indexed citations
4.
5.
Olson, Matthew W., Amar S. Prashad, Geraldine Bebernitz, et al.. (2009). Small molecule inhibitors of HIV RT Ribonuclease H. Bioorganic & Medicinal Chemistry Letters. 20(1). 398–402. 20 indexed citations
6.
Mayer, Scott C., Frank Boschelli, Li Di, et al.. (2008). Lead identification to generate isoquinolinedione inhibitors of insulin-like growth factor receptor (IGF-1R) for potential use in cancer treatment. Bioorganic & Medicinal Chemistry Letters. 18(12). 3641–3645. 60 indexed citations
7.
Wang, Yanong D., Biqi Wu, S.A. Johnson, et al.. (2008). Synthesis, SAR study and biological evaluation of novel pyrazolo[1,5-a]pyrimidin-7-yl phenyl amides as anti-proliferative agents. Bioorganic & Medicinal Chemistry. 17(5). 2091–2100. 34 indexed citations
8.
Howe, Anita Y. M., S V Johann, Srinivas K. Chunduru, et al.. (2008). Molecular Mechanism of Hepatitis C Virus Replicon Variants with Reduced Susceptibility to a Benzofuran Inhibitor, HCV-796. Antimicrobial Agents and Chemotherapy. 52(9). 3327–3338. 87 indexed citations
9.
Wang, Yuren, Girija Krishnamurthy, A. Gilbert, et al.. (2006). High-Throughput Screening for the Discovery of Inhibitors of Fatty Acid Amide Hydrolase Using a Microsome-Based Fluorescent Assay. SLAS DISCOVERY. 11(5). 519–527. 9 indexed citations
10.
Gopalsamy, Ariamala, Rajiv Chopra, Mengxiao Shi, et al.. (2006). Discovery of Proline Sulfonamides as Potent and Selective Hepatitis C Virus NS5b Polymerase Inhibitors. Evidence for a New NS5b Polymerase Binding Site. Journal of Medicinal Chemistry. 49(11). 3052–3055. 46 indexed citations
11.
12.
Jennings, Lee D., Scott L. Kincaid, Yanong D. Wang, et al.. (2005). Parallel synthesis and biological evaluation of 5,6,7,8-tetrahydrobenzothieno[2,3-d]pyrimidin-4(3H)-one cytotoxic agents selective for p21-deficient cells. Bioorganic & Medicinal Chemistry Letters. 15(21). 4731–4735. 70 indexed citations
13.
Zask, Arie, Gary H. Birnberg, Joshua A. Kaplan, et al.. (2004). D-piece modifications of the hemiasterlin analog HTI-286 produce potent tubulin inhibitors. Bioorganic & Medicinal Chemistry Letters. 14(16). 4353–4358. 13 indexed citations
14.
Elokdah, Hassan, et al.. (2004). Tiplaxtinin, a Novel, Orally Efficacious Inhibitor of Plasminogen Activator Inhibitor-1:  Design, Synthesis, and Preclinical Characterization. Journal of Medicinal Chemistry. 47(14). 3491–3494. 135 indexed citations
15.
Razinkov, Vladimir I., Clayton C. Huntley, George A. Ellestad, & Girija Krishnamurthy. (2002). RSV entry inhibitors block F-protein mediated fusion with model membranes. Antiviral Research. 55(1). 189–200. 28 indexed citations
16.
Ding, Weidong, Girija Krishnamurthy, Ann Aulabaugh, et al.. (1998). Novel and Specific Respiratory Syncytial Virus Inhibitors That Target Virus Fusion. Journal of Medicinal Chemistry. 41(15). 2671–2675. 36 indexed citations
17.
Krishnamurthy, Girija, Michael Brenowitz, & George A. Ellestad. (1995). Salt Dependence of Calicheamicin-DNA Site-Specific Interactions. Biochemistry. 34(3). 1001–1010. 13 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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