Amish Acharya

1.8k total citations · 1 hit paper
36 papers, 709 citations indexed

About

Amish Acharya is a scholar working on General Health Professions, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Amish Acharya has authored 36 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in General Health Professions, 9 papers in Pulmonary and Respiratory Medicine and 7 papers in Surgery. Recurrent topics in Amish Acharya's work include Mobile Health and mHealth Applications (6 papers), Health Literacy and Information Accessibility (4 papers) and Telemedicine and Telehealth Implementation (3 papers). Amish Acharya is often cited by papers focused on Mobile Health and mHealth Applications (6 papers), Health Literacy and Information Accessibility (4 papers) and Telemedicine and Telehealth Implementation (3 papers). Amish Acharya collaborates with scholars based in United Kingdom, United States and Sweden. Amish Acharya's co-authors include Sheraz R. Markar, Ara Darzi, George B. Hanna, Viknesh Sounderajah, Melody Ni, Hutan Ashrafian, George Malietzis, Thanos Athanasiou, Calvin Chan and Pasha Normahani and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Annals of Surgery.

In The Last Decade

Amish Acharya

31 papers receiving 698 citations

Hit Papers

LLM-based agentic systems in medicine and healthcare 2024 2026 2025 2024 10 20 30 40

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amish Acharya United Kingdom 17 235 165 146 97 79 36 709
James J. Ashton United Kingdom 22 342 1.5× 137 0.8× 103 0.7× 58 0.6× 46 0.6× 92 1.5k
Rishad Khan Canada 21 422 1.8× 161 1.0× 266 1.8× 33 0.3× 120 1.5× 81 1.1k
Michael A. Scaffidi Canada 18 491 2.1× 182 1.1× 254 1.7× 28 0.3× 67 0.8× 69 953
Nicholas Farber United States 15 209 0.9× 272 1.6× 62 0.4× 11 0.1× 77 1.0× 70 842
Liangyuan Hu United States 20 158 0.7× 158 1.0× 225 1.5× 10 0.1× 118 1.5× 57 1.1k
Shande Chen United States 20 216 0.9× 107 0.6× 188 1.3× 25 0.3× 33 0.4× 47 1.2k
P. Doré France 16 96 0.4× 217 1.3× 42 0.3× 35 0.4× 100 1.3× 41 940
Vanash Patel United Kingdom 20 538 2.3× 181 1.1× 205 1.4× 46 0.5× 96 1.2× 45 1.3k
Xiaohan Li China 15 90 0.4× 153 0.9× 191 1.3× 21 0.2× 263 3.3× 56 1.0k
David Cheng United States 16 123 0.5× 82 0.5× 95 0.7× 17 0.2× 57 0.7× 64 791

Countries citing papers authored by Amish Acharya

Since Specialization
Citations

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

Fields of papers citing papers by Amish Acharya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amish Acharya

This figure shows the co-authorship network connecting the top 25 collaborators of Amish Acharya. A scholar is included among the top collaborators of Amish Acharya 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 Amish Acharya. Amish Acharya 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.
Iqbal, Fahad, et al.. (2025). Characterizing Behaviors That Influence the Implementation of Digital-Based Interventions in Health Care: Systematic Review. Journal of Medical Internet Research. 27. e56711–e56711. 1 indexed citations
3.
Qiu, Jianing, Kyle Lam, Guohao Li, et al.. (2024). LLM-based agentic systems in medicine and healthcare. Nature Machine Intelligence. 6(12). 1418–1420. 48 indexed citations breakdown →
5.
Wallace, William, Calvin Chan, Swathikan Chidambaram, et al.. (2024). Evaluating the diagnostic and triage performance of digital and online symptom checkers for the presentation of myocardial infarction; A retrospective cross-sectional study. SHILAP Revista de lepidopterología. 3(8). e0000558–e0000558.
6.
Lorencatto, Fabiana, Danielle D’Lima, Mary Lavelle, et al.. (2023). Improving the quality of written communication at patient discharge: triangulation of qualitative analyses and intervention co-design. The Lancet. 402. S67–S67.
7.
Lam, Kyle, et al.. (2023). Interventions for sustainable surgery: a systematic review. International Journal of Surgery. 109(5). 1447–1458. 14 indexed citations
8.
Lam, Kyle, et al.. (2023). Perceptions and priorities of perioperative staff and the public for sustainable surgery: a validated questionnaire study. Annals of Medicine and Surgery. 85(6). 2400–2408. 7 indexed citations
9.
Acharya, Amish, Gaby Judah, Hutan Ashrafian, et al.. (2023). Investigating the national implementation of SMS and mobile messaging in population screening (The SIPS study). EBioMedicine. 93. 104685–104685. 5 indexed citations
10.
Acharya, Amish, et al.. (2022). Evaluating the impact of a digital leadership programme on national digital priorities: a mixed methods study. BMJ Open. 12(4). e056369–e056369. 7 indexed citations
11.
Wallace, William, Calvin Chan, Swathikan Chidambaram, et al.. (2022). The diagnostic and triage accuracy of digital and online symptom checker tools: a systematic review. npj Digital Medicine. 5(1). 118–118. 75 indexed citations
12.
Chan, Calvin, Viknesh Sounderajah, Elisabeth R. Daniels, et al.. (2021). The Reliability and Quality of YouTube Videos as a Source of Public Health Information Regarding COVID-19 Vaccination: Cross-sectional Study. JMIR Public Health and Surveillance. 7(7). e29942–e29942. 44 indexed citations
13.
Acharya, Amish, et al.. (2021). Investigating the Implementation of SMS and Mobile Messaging in Population Screening (the SIPS Study): Protocol for a Delphi Study. JMIR Research Protocols. 10(12). e32660–e32660. 3 indexed citations
14.
Egan, Mark, Amish Acharya, Viknesh Sounderajah, et al.. (2021). Evaluating the effect of infographics on public recall, sentiment and willingness to use face masks during the COVID-19 pandemic: a randomised internet-based questionnaire study. BMC Public Health. 21(1). 367–367. 20 indexed citations
15.
Sounderajah, Viknesh, Jonathan Clarke, Seema Yalamanchili, et al.. (2021). A national survey assessing public readiness for digital health strategies against COVID-19 within the United Kingdom. Scientific Reports. 11(1). 5958–5958. 24 indexed citations
16.
Markar, Sheraz R., et al.. (2017). Prognostic significance of peritoneal lavage cytology in staging gastric cancer: systematic review and meta-analysis. Gastric Cancer. 21(1). 10–18. 69 indexed citations
17.
Markar, Sheraz R., et al.. (2016). The Influence of Gastric Cancer Screening on the Stage at Diagnosis and Survival. Journal of Clinical Gastroenterology. 50(3). 190–197. 44 indexed citations
18.
Acharya, Amish, Sheraz R. Markar, Melody Ni, & George B. Hanna. (2016). Biomarkers of acute appendicitis: systematic review and cost–benefit trade-off analysis. Surgical Endoscopy. 31(3). 1022–1031. 71 indexed citations
19.
Beyer‐Berjot, Laura, Vishal Patel, Amish Acharya, et al.. (2014). Surgical training: Design of a virtual care pathway approach. Surgery. 156(3). 689–697. 19 indexed citations
20.
Golding, John F., et al.. (2012). Cognitive Cues and Visually Induced Motion Sickness. Aviation Space and Environmental Medicine. 83(5). 477–482. 30 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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