Subish Palaian

3.5k total citations
192 papers, 2.2k citations indexed

About

Subish Palaian is a scholar working on Geriatrics and Gerontology, Applied Microbiology and Biotechnology and Toxicology. According to data from OpenAlex, Subish Palaian has authored 192 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Geriatrics and Gerontology, 42 papers in Applied Microbiology and Biotechnology and 41 papers in Toxicology. Recurrent topics in Subish Palaian's work include Pharmaceutical Practices and Patient Outcomes (60 papers), Antibiotic Use and Resistance (42 papers) and Pharmacovigilance and Adverse Drug Reactions (41 papers). Subish Palaian is often cited by papers focused on Pharmaceutical Practices and Patient Outcomes (60 papers), Antibiotic Use and Resistance (42 papers) and Pharmacovigilance and Adverse Drug Reactions (41 papers). Subish Palaian collaborates with scholars based in Nepal, United Arab Emirates and Malaysia. Subish Palaian's co-authors include P Ravi Shankar, Mohamed Izham Mohamed Ibrahim, Pranaya Mishra, P Mishra, Dinesh Kumar Upadhyay, Muaed Jamal Alomar, Nageeb Hassan, Mukhyaprana Prabhu, Kadir Alam and Sunil Shrestha and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Subish Palaian

182 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Subish Palaian Nepal 26 677 476 423 391 373 192 2.2k
Hisham Aljadhey Saudi Arabia 31 1.0k 1.5× 415 0.9× 248 0.6× 461 1.2× 579 1.6× 120 3.1k
Mohamed Izham Mohamed Ibrahim Qatar 30 955 1.4× 294 0.6× 438 1.0× 651 1.7× 1.1k 2.9× 271 3.3k
Rana Abu Farha Jordan 23 559 0.8× 203 0.4× 280 0.7× 219 0.6× 219 0.6× 190 1.9k
Hege Salvesen Blix Norway 26 1.2k 1.8× 216 0.5× 552 1.3× 503 1.3× 377 1.0× 91 2.5k
Peter G. M. Mol Netherlands 25 419 0.6× 450 0.9× 133 0.3× 328 0.8× 443 1.2× 116 1.9k
Marja Airaksinen Finland 24 782 1.2× 176 0.4× 203 0.5× 340 0.9× 250 0.7× 100 2.2k
Syed Tabish R. Zaidi Australia 28 513 0.8× 130 0.3× 294 0.7× 211 0.5× 236 0.6× 108 2.3k
María Teresa Herdeiro Portugal 30 942 1.4× 1.2k 2.5× 963 2.3× 822 2.1× 488 1.3× 152 3.6k
Michael Dooley Australia 31 1.4k 2.1× 139 0.3× 203 0.5× 480 1.2× 513 1.4× 196 3.6k
Carol Keohane United States 34 1.1k 1.7× 200 0.4× 125 0.3× 463 1.2× 247 0.7× 73 5.2k

Countries citing papers authored by Subish Palaian

Since Specialization
Citations

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

Fields of papers citing papers by Subish Palaian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subish Palaian

This figure shows the co-authorship network connecting the top 25 collaborators of Subish Palaian. A scholar is included among the top collaborators of Subish Palaian 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 Subish Palaian. Subish Palaian 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.
Jha, Nisha, et al.. (2025). Impact Assessment of an Educational Intervention Toward Rational Antibiotic Use Among Community Pharmacists in Nepal. Risk Management and Healthcare Policy. Volume 18. 1181–1195.
3.
Sapkota, Binaya, Subish Palaian, Sunil Shrestha, & Mohamed Izham Mohamed Ibrahim. (2023). Materiovigilance in Perspective: Understanding Its Concept and Practice in the Global Healthcare System. Therapeutic Innovation & Regulatory Science. 57(4). 886–898. 4 indexed citations
4.
Busch, Felix, Lena Hoffmann, Daniel Truhn, et al.. (2023). International pharmacy students' perceptions towards artificial intelligence in medicine—A multinational, multicentre cross‐sectional study. British Journal of Clinical Pharmacology. 90(3). 649–661. 34 indexed citations
5.
Shankar, P Ravi, Rano Mal Piryani, & Subish Palaian. (2022). Organizing and Conducting Small Group Interactive Learning Sessions. Indian Journal of Pharmaceutical Education and Research. 56(3). 667–672. 1 indexed citations
6.
Palaian, Subish, et al.. (2021). Awareness and Utilization Pattern of Over-the-Counter Painkillers amongst Health professional Students in a Medical University. Journal of Pharmaceutical Research International. 88–104. 1 indexed citations
7.
Ibrahim, Mohamed Izham Mohamed, et al.. (2020). An Exploratory Study of Consumers’ Social Behavior towards Role of Malaysian Community Pharmacists in Providing Healthcare. Journal of Pharmaceutical Research International. 37–51.
8.
Palaian, Subish, Mohamed Izham Mohamed Ibrahim, Pranaya Mishra, & P Ravi Shankar. (2019). Development and Evaluation of a Pharmacovigilance Education Module for Medical Students in Nepal. Education in Medicine Journal. 11(2). 3–13. 4 indexed citations
10.
Palaian, Subish, et al.. (2011). Clinical profile and drug utilization pattern in an intensive care unit of a teaching hospital in Western Nepal. SHILAP Revista de lepidopterología. 8 indexed citations
11.
Poudel, Arjun, et al.. (2009). Prevalence of Fixed-Dose Combinations in Nepal: A Preliminary Study. Drug Safety. 32(10). 888–888. 2 indexed citations
12.
Palaian, Subish, et al.. (2008). Rational drug prescribing and dispensing in tertiary care teaching hospital of Western Nepal. Journal of Institute of Medicine Nepal. 30(2). 33–38. 7 indexed citations
13.
Shankar, P Ravi, et al.. (2008). Drug Utilization with special Reference to Antimicrobials in a Sub-health post in Western. SHILAP Revista de lepidopterología. 8 indexed citations
14.
Palaian, Subish, et al.. (2008). Pattern of adverse drug reactions experienced by tuberculosis patients in a tertiary care teaching hospital in Western Nepal.. PubMed. 21(1). 51–6. 23 indexed citations
15.
Palaian, Subish & Kadir Alam. (2008). Activities of the pharmacists in a teaching hospital in Nepal.. 1(1). 6–9. 1 indexed citations
16.
Shankar, P Ravi, et al.. (2007). Can drug utilization help in promoting the more rational use of medicine? Experiences from Western Nepal.. PubMed. 20(3). 243–48. 4 indexed citations
17.
Shankar, P Ravi & Subish Palaian. (2007). Disease mongering.. PubMed. 48(4). 275–80. 3 indexed citations
18.
Palaian, Subish, et al.. (2006). Safety profile of herbal drugs: urgent need for monitoring. Journal of Institute of Medicine Nepal. 28(2). 57–61. 5 indexed citations
19.
Shankar, P Ravi, Dinesh Kumar Upadhyay, Subish Palaian, Arun K Dubey, & P Mishra. (2006). Prescribing patterns among paediatric inpatients in a teaching hospital in western Nepal.. PubMed. 47(4). 261–5. 40 indexed citations
20.
Shankar, P Ravi, et al.. (2005). Cephalosporin utilization in the inpatient wards of a teaching hospital in western Nepal. Journal of Institute of Medicine Nepal. 27(3). 7–12. 1 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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