Ron Pithawalla

950 total citations
16 papers, 752 citations indexed

About

Ron Pithawalla is a scholar working on Infectious Diseases, Hepatology and Molecular Biology. According to data from OpenAlex, Ron Pithawalla has authored 16 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 8 papers in Hepatology and 5 papers in Molecular Biology. Recurrent topics in Ron Pithawalla's work include HIV/AIDS drug development and treatment (9 papers), Hepatitis C virus research (8 papers) and Hepatitis B Virus Studies (5 papers). Ron Pithawalla is often cited by papers focused on HIV/AIDS drug development and treatment (9 papers), Hepatitis C virus research (8 papers) and Hepatitis B Virus Studies (5 papers). Ron Pithawalla collaborates with scholars based in United States, United Kingdom and New Zealand. Ron Pithawalla's co-authors include Edward Tam, Akhteruzzaman Molla, Liangjun Lu, Elizabeth A. Koch, Hongmei Mo, Robert H. Spitzer, Teresa I. Ng, Kent D. Stewart, Wenping He and David Parry and has published in prestigious journals such as Hepatology, Biochemistry and Journal of Cell Science.

In The Last Decade

Ron Pithawalla

16 papers receiving 726 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ron Pithawalla United States 12 495 360 284 158 88 16 752
Junji Fujita Japan 8 816 1.6× 586 1.6× 88 0.3× 202 1.3× 20 0.2× 16 1.0k
Bruno B. Bordier United States 12 320 0.6× 271 0.8× 196 0.7× 289 1.8× 15 0.2× 14 713
Douglas Ross‐Thriepland United Kingdom 9 215 0.4× 152 0.4× 58 0.2× 114 0.7× 19 0.2× 13 350
Martin R. Burda Germany 14 515 1.0× 421 1.2× 84 0.3× 245 1.6× 14 0.2× 18 906
Jai Myung Yang South Korea 14 95 0.2× 78 0.2× 132 0.5× 437 2.8× 29 0.3× 38 698
Dmitry Kostyushev Russia 16 101 0.2× 203 0.6× 82 0.3× 632 4.0× 8 0.1× 64 943
David C. Whitacre United States 9 116 0.2× 202 0.6× 73 0.3× 166 1.1× 17 0.2× 15 459
L.J. Stroh Germany 14 80 0.2× 147 0.4× 108 0.4× 194 1.2× 36 0.4× 20 668
Nathalie Alazard-Dany France 10 40 0.1× 187 0.5× 315 1.1× 292 1.8× 11 0.1× 13 694
Xiaohe Lin United States 12 63 0.1× 91 0.3× 144 0.5× 156 1.0× 8 0.1× 15 382

Countries citing papers authored by Ron Pithawalla

Since Specialization
Citations

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

Fields of papers citing papers by Ron Pithawalla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ron Pithawalla

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

All Works

16 of 16 papers shown
1.
Upadhyay, Anup K., Russell A. Judge, Leiming Li, et al.. (2018). Targeting lysine specific demethylase 4A (KDM4A) tandem TUDOR domain – A fragment based approach. Bioorganic & Medicinal Chemistry Letters. 28(10). 1708–1713. 15 indexed citations
2.
Ng, Teresa I., Rakesh Tripathi, Thomas Reisch, et al.. (2017). In Vitro Antiviral Activity and Resistance Profile of the Next-Generation Hepatitis C Virus NS3/4A Protease Inhibitor Glecaprevir. Antimicrobial Agents and Chemotherapy. 62(1). 57 indexed citations
3.
Tam, Edward, Rakesh Tripathi, Daniel E. Cohen, et al.. (2014). In Vitro and In Vivo Antiviral Activity and Resistance Profile of the Hepatitis C Virus NS3/4A Protease Inhibitor ABT-450. Antimicrobial Agents and Chemotherapy. 59(2). 988–997. 102 indexed citations
4.
Ng, Teresa I., Hongmei Mo, Edward Tam, et al.. (2007). Identification of host genes involved in hepatitis C virus replication by small interfering RNA technology. Hepatology. 45(6). 1413–1421. 105 indexed citations
5.
Lu, Liangjun, Sherie Masse, Ron Pithawalla, et al.. (2007). Identification and characterization of mutations conferring resistance to an HCV RNA-dependent RNA polymerase inhibitor in vitro. Antiviral Research. 76(1). 93–97. 29 indexed citations
6.
Middleton, Tim, Yupeng He, Edward Tam, et al.. (2007). A replicon-based shuttle vector system for assessing the phenotype of HCV NS5B polymerase genes isolated from patient populations. Journal of Virological Methods. 145(2). 137–145. 25 indexed citations
7.
Wagner, Renaud, Dian He, Sherie Masse, et al.. (2007). [620] CHARACTERIZATION OF PHARMACOKINETIC/PHARMACODYNAMIC PARAMETERS FOR THE NOVEL HCV POLYMERASE INHIBITOR A-848837. Journal of Hepatology. 46. S234–S235. 3 indexed citations
8.
Liu, Yaya, John K. Pratt, Todd W. Rockway, et al.. (2006). Mechanistic Study of HCV Polymerase Inhibitors at Individual Steps of the Polymerization Reaction. Biochemistry. 45(38). 11312–11323. 39 indexed citations
9.
Mo, Hongmei, Liangjun Lu, Edward Tam, et al.. (2005). Mutations Conferring Resistance to a Hepatitis C Virus (HCV) RNA-Dependent RNA Polymerase Inhibitor Alone or in Combination with an HCV Serine Protease Inhibitor In Vitro. Antimicrobial Agents and Chemotherapy. 49(10). 4305–4314. 87 indexed citations
10.
Lu, Liangjun, Edward Tam, Kent D. Stewart, et al.. (2004). Mutations Conferring Resistance to a Potent Hepatitis C Virus Serine Protease Inhibitor In Vitro. Antimicrobial Agents and Chemotherapy. 48(6). 2260–2266. 140 indexed citations
11.
Mo, Hongmei, Liangjun Lu, Ron Pithawalla, Dale J. Kempf, & Akhteruzzaman Molla. (2004). Complementation in Cells Cotransfected with a Mixture of Wild-Type and Mutant Human Immunodeficiency Virus (HIV) Influences the Replication Capacities and Phenotypes of Mutant Variants in a Single-Cycle HIV Resistance Assay. Journal of Clinical Microbiology. 42(9). 4169–4174. 9 indexed citations
12.
Xuei, Xiaoling, Tim Middleton, Ron Pithawalla, et al.. (2003). Use of SAM2® Biotin Capture Membrane in Microarrayed Compound Screening (μARCS) Format for Nucleic Acid Polymerization Assays. SLAS DISCOVERY. 8(3). 273–282. 6 indexed citations
13.
Koch, Elizabeth A., et al.. (1995). Hagfish biopolymer: a type I/type II homologue of epidermal keratin intermediate filaments. International Journal of Biological Macromolecules. 17(5). 283–292. 38 indexed citations
14.
Koch, Elizabeth A., Robert H. Spitzer, Ron Pithawalla, & David Parry. (1994). An unusual intermediate filament subunit from the cytoskeletal biopolymer released extracellularly into seawater by the primitive hagfish (Eptatretus stouti). Journal of Cell Science. 107(11). 3133–3144. 46 indexed citations
15.
Koch, Elizabeth A., et al.. (1993). The hagfish oocyte at late stages of oogenesis: Structural and metabolic events at the micropylar region. Tissue and Cell. 25(2). 259–273. 9 indexed citations
16.
Koch, Elizabeth A., Robert H. Spitzer, Ron Pithawalla, & Stephen W. Downing. (1991). Keratin-like components of gland thread cells modulate the properties of mucus from hagfish (Eptatretus stouti). Cell and Tissue Research. 264(1). 79–86. 42 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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