Ashish Goyal

1.4k total citations
55 papers, 814 citations indexed

About

Ashish Goyal is a scholar working on Epidemiology, Hepatology and Infectious Diseases. According to data from OpenAlex, Ashish Goyal has authored 55 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Epidemiology, 18 papers in Hepatology and 11 papers in Infectious Diseases. Recurrent topics in Ashish Goyal's work include Hepatitis C virus research (18 papers), Hepatitis B Virus Studies (17 papers) and SARS-CoV-2 and COVID-19 Research (9 papers). Ashish Goyal is often cited by papers focused on Hepatitis C virus research (18 papers), Hepatitis B Virus Studies (17 papers) and SARS-CoV-2 and COVID-19 Research (9 papers). Ashish Goyal collaborates with scholars based in United States, India and Australia. Ashish Goyal's co-authors include Joshua T. Schiffer, John M. Murray, E. Fabián Cardozo-Ojeda, Daniel B. Reeves, Alan S. Perelson, Bryan T. Mayer, A.K. Prasada Rao, J.B. Shukla, Ruy M. Ribeiro and Laura E. Liao and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ashish Goyal

52 papers receiving 800 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashish Goyal United States 16 280 274 222 205 123 55 814
Cillian De Gascun Ireland 17 473 1.7× 344 1.3× 87 0.4× 145 0.7× 46 0.4× 72 905
Guilherme Gonçalves Portugal 17 260 0.9× 366 1.3× 81 0.4× 75 0.4× 81 0.7× 72 805
Connor Bamford United Kingdom 11 330 1.2× 230 0.8× 38 0.2× 56 0.3× 54 0.4× 26 699
Duaa W. Al‐Sadeq Qatar 16 569 2.0× 198 0.7× 56 0.3× 119 0.6× 47 0.4× 35 998
Maria Cássia Mendes-Corrêa Brazil 17 400 1.4× 452 1.6× 24 0.1× 395 1.9× 46 0.4× 91 915
Angela Stein Germany 10 394 1.4× 167 0.6× 86 0.4× 141 0.7× 18 0.1× 14 633
Ashish Agrawal India 13 127 0.5× 152 0.6× 47 0.2× 102 0.5× 63 0.5× 30 731
Man‐Qing Liu China 18 616 2.2× 237 0.9× 37 0.2× 179 0.9× 47 0.4× 53 1.2k
Saied Ghorbani Iran 13 486 1.7× 178 0.6× 60 0.3× 35 0.2× 106 0.9× 49 1.0k
Т. А. Семененко Russia 12 147 0.5× 244 0.9× 66 0.3× 68 0.3× 53 0.4× 113 477

Countries citing papers authored by Ashish Goyal

Since Specialization
Citations

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

Fields of papers citing papers by Ashish Goyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashish Goyal

This figure shows the co-authorship network connecting the top 25 collaborators of Ashish Goyal. A scholar is included among the top collaborators of Ashish Goyal 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 Ashish Goyal. Ashish Goyal 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.
Xu, Shuang, E. Fabián Cardozo-Ojeda, Ashish Goyal, et al.. (2024). Two-way pharmacodynamic modeling of drug combinations and its application to pairs of repurposed Ebola and SARS-CoV-2 agents. Antimicrobial Agents and Chemotherapy. 68(4). e0101523–e0101523. 2 indexed citations
2.
Goyal, Ashish, et al.. (2023). Study of menstrual disorders and its correlation with BMI in adolescents. International Journal of Reproduction Contraception Obstetrics and Gynecology. 12(5). 1399–1404.
3.
Khurana, Ankit, et al.. (2023). Evaluation of Technical Differences in Arthroscopic Lateral Ligament Stabilization for Chronic Ankle Instability: A Review. SHILAP Revista de lepidopterología. 10(2). 79–87. 1 indexed citations
4.
Goyal, Ashish, et al.. (2021). Suppression of hepatitis B virus through therapeutic activation of RIG-I and IRF3 signaling in hepatocytes. iScience. 24(1). 101969–101969. 24 indexed citations
5.
Churkin, Alexander, Ashish Goyal, Scott J. Cotler, et al.. (2021). Machine learning for mathematical models of HCV kinetics during antiviral therapy. Mathematical Biosciences. 343. 108756–108756. 7 indexed citations
6.
Goyal, Ashish, Daniel B. Reeves, Niket Thakkar, et al.. (2021). Slight reduction in SARS-CoV-2 exposure viral load due to masking results in a significant reduction in transmission with widespread implementation. Scientific Reports. 11(1). 11838–11838. 19 indexed citations
7.
Khurana, Ankit, et al.. (2020). Comparison of midterm results of Platelet Rich Plasma (PRP) versus Steroid for plantar fasciitis: A randomized control trial of 118 patients. Journal of Clinical Orthopaedics and Trauma. 13. 9–14. 15 indexed citations
8.
9.
Kandathil, Abraham J., Sho K. Sugawara, Ashish Goyal, et al.. (2018). No recovery of replication-competent HIV-1 from human liver macrophages. Journal of Clinical Investigation. 128(10). 4501–4509. 35 indexed citations
10.
Goyal, Ashish, Ajit Bopardikar, & Vijay N. Tiwari. (2018). Estimation of Spherical Refractive Errors Using Virtual Reality Headset. PubMed. 2018. 4973–7976. 1 indexed citations
11.
Goyal, Ashish & John M. Murray. (2017). Roadmap to control HBV and HDV epidemics in China. Journal of Theoretical Biology. 423. 41–52. 10 indexed citations
12.
Goyal, Ashish & John M. Murray. (2016). Cost-Effectiveness of Peg-Interferon, Interferon and Oral Nucleoside Analogues in the Treatment of Chronic Hepatitis B and D Infections in China. Clinical Drug Investigation. 36(8). 637–648. 5 indexed citations
13.
Goyal, Ashish & John M. Murray. (2016). Modelling the Impact of Cell-To-Cell Transmission in Hepatitis B Virus. PLoS ONE. 11(8). e0161978–e0161978. 30 indexed citations
14.
Goyal, Ashish & John M. Murray. (2016). Recognizing the impact of endemic hepatitis D virus on hepatitis B virus eradication. Theoretical Population Biology. 112. 60–69. 5 indexed citations
15.
Goyal, Ashish & John M. Murray. (2016). Dynamics of in vivo hepatitis D virus infection. Journal of Theoretical Biology. 398. 9–19. 5 indexed citations
16.
Goyal, Ashish, Rashmi Sanghi, A. K. Misra, & J.B. Shukla. (2014). Modeling and analysis of the removal of an organic pollutant from a water body using fungi. Applied Mathematical Modelling. 38(19-20). 4863–4871. 5 indexed citations
17.
Murray, John M. & Ashish Goyal. (2014). In silico single cell dynamics of hepatitis B virus infection and clearance. Journal of Theoretical Biology. 366. 91–102. 42 indexed citations
18.
Goyal, Ashish & John M. Murray. (2014). The Impact of Vaccination and Antiviral Therapy on Hepatitis B and Hepatitis D Epidemiology. PLoS ONE. 9(10). e110143–e110143. 47 indexed citations
19.
Shukla, J.B., et al.. (2013). Effects of habitat characteristics on the growth of carrier population leading to increased spread of typhoid fever: A model. SHILAP Revista de lepidopterología. 4(2). 107–107. 5 indexed citations
20.
Shindler, Kenneth S., et al.. (2011). Macrophage-Mediated Optic Neuritis Induced by Retrograde Axonal Transport of Spike Gene Recombinant Mouse Hepatitis Virus. Journal of Neuropathology & Experimental Neurology. 70(6). 470–480. 25 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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