Murali Krishna

1.7k total citations
60 papers, 836 citations indexed

About

Murali Krishna is a scholar working on Clinical Psychology, Pediatrics, Perinatology and Child Health and Psychiatry and Mental health. According to data from OpenAlex, Murali Krishna has authored 60 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Clinical Psychology, 11 papers in Pediatrics, Perinatology and Child Health and 10 papers in Psychiatry and Mental health. Recurrent topics in Murali Krishna's work include Mental Health Treatment and Access (9 papers), Suicide and Self-Harm Studies (8 papers) and Dementia and Cognitive Impairment Research (7 papers). Murali Krishna is often cited by papers focused on Mental Health Treatment and Access (9 papers), Suicide and Self-Harm Studies (8 papers) and Dementia and Cognitive Impairment Research (7 papers). Murali Krishna collaborates with scholars based in United Kingdom, India and United States. Murali Krishna's co-authors include Peter Lepping, G. V. S. Murthy, Anita Nath, Jim Turner, Chandra S. Metgud, Steve Jones, Caroline Fall, Martin Prince, Mina Chandra and Steven Lane and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Environmental Management.

In The Last Decade

Murali Krishna

57 papers receiving 798 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Murali Krishna United Kingdom 17 193 175 141 130 112 60 836
Majideh Heravi‐Karimooi Iran 19 269 1.4× 99 0.6× 215 1.5× 74 0.6× 262 2.3× 89 1.1k
Khodayar Oshvandi Iran 19 209 1.1× 135 0.8× 166 1.2× 48 0.4× 102 0.9× 106 1.0k
Melissa Russell Australia 23 155 0.8× 280 1.6× 228 1.6× 259 2.0× 55 0.5× 58 1.6k
Aurélie Baillot Canada 18 184 1.0× 252 1.4× 127 0.9× 90 0.7× 60 0.5× 58 1.1k
Rosie Cornish United Kingdom 14 176 0.9× 350 2.0× 127 0.9× 56 0.4× 75 0.7× 41 1.0k
Kerena Eckert Australia 19 299 1.5× 142 0.8× 194 1.4× 83 0.6× 156 1.4× 33 1.0k
Tahereh Najafi Ghezeljeh Iran 17 158 0.8× 120 0.7× 197 1.4× 52 0.4× 134 1.2× 116 1.1k
Mary Lynch United Kingdom 17 118 0.6× 188 1.1× 167 1.2× 82 0.6× 31 0.3× 56 1.1k
Sally Brabyn United Kingdom 18 117 0.6× 91 0.5× 197 1.4× 97 0.7× 158 1.4× 31 938

Countries citing papers authored by Murali Krishna

Since Specialization
Citations

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

Fields of papers citing papers by Murali Krishna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Murali Krishna

This figure shows the co-authorship network connecting the top 25 collaborators of Murali Krishna. A scholar is included among the top collaborators of Murali Krishna 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 Murali Krishna. Murali Krishna 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.
Nair, T. M. Balakrishnan, V. V. S. S. Sarma, Aneesh A. Lotliker, et al.. (2024). An integrated buoy-satellite based coastal water quality nowcasting system: India's pioneering efforts towards addressing UN ocean decade challenges. Journal of Environmental Management. 354. 120477–120477. 6 indexed citations
2.
3.
Chandra, Mina, et al.. (2022). Air Pollution and Cognitive Impairment across the Life Course in Humans: A Systematic Review with Specific Focus on Income Level of Study Area. International Journal of Environmental Research and Public Health. 19(3). 1405–1405. 49 indexed citations
4.
Jones, Steve, et al.. (2021). Physical health impairment, disability and suicidal intent among self-harm survivors in South India. International Journal of Community Medicine and Public Health. 8(5). 2370–2370.
5.
Sharma, Meenakshi, Murali Krishna, Sridhar Vaitheswaran, et al.. (2020). Psychometric properties of outcome measures in non‐pharmacological interventions of persons with dementia in low‐and middle‐income countries: A systematic review. Psychogeriatrics. 21(2). 220–238. 2 indexed citations
6.
Krupp, Karl, et al.. (2020). The Cohort Profile: Kisalaya Cohort of Mother-Infant dyads in rural South India (2008- 2012). Epidemiology and Health. 42. e2020010–e2020010. 3 indexed citations
7.
Krishna, Murali, et al.. (2019). Rainfall Prediction using Bpnn. International Journal of Innovative Technology and Exploring Engineering. 8(6S4). 661–668. 2 indexed citations
8.
Nath, Anita, et al.. (2019). <p>The prevalence and determinants of pregnancy-related anxiety amongst pregnant women at less than 24 weeks of pregnancy in Bangalore, Southern India</p>. International Journal of Women s Health. Volume 11. 241–248. 46 indexed citations
9.
Nath, Anita, et al.. (2019). The prevalence and determinants of pregnancy-related anxiety amongst pregnant women at less than 24 weeks of pregnancy in Bangalore, Southern India. SHILAP Revista de lepidopterología. 8 indexed citations
10.
Krishna, Murali, et al.. (2017). No differences in healing among different closure methods of arthroscopic portals: a systematic review. Journal of ISAKOS Joint Disorders & Orthopaedic Sports Medicine. 2(6). 297–307. 1 indexed citations
11.
Nagaraj, K., et al.. (2017). Diagnosis of Dementia by Machine learning methods in Epidemiological studies: a pilot exploratory study from south India. Social Psychiatry and Psychiatric Epidemiology. 53(1). 77–86. 42 indexed citations
12.
13.
Jones, Steve, et al.. (2015). Nurses attitudes and beliefs to attempted suicide in Southern India. Journal of Mental Health. 24(6). 423–429. 22 indexed citations
14.
15.
Raveesh, Bevinahalli Nanjegowda, et al.. (2014). Patient and visitor violence towards staff on medical and psychiatric wards in India. Asian Journal of Psychiatry. 13. 52–55. 15 indexed citations
16.
Krishna, Murali, et al.. (2012). A systematic review and meta‐analysis of group psychotherapy for sub‐clinical depression in older adults. International Journal of Geriatric Psychiatry. 28(9). 881–888. 15 indexed citations
17.
Sharma, Bharat Bhushan, Sheetu Singh, Vimal Sharma, et al.. (2012). Psychiatric morbidity in chronic respiratory disorders in an Indian service using GMHAT/PC. General Hospital Psychiatry. 35(1). 39–44. 23 indexed citations
18.
Sharma, Vimal, Anil Jain, Parul Dubey, et al.. (2010). The global mental health assessment tool-validation in hindi: A validity and feasibility study. Indian Journal of Psychiatry. 52(4). 316–316. 15 indexed citations
19.
Krishna, Murali, et al.. (2009). Epidemilogical and clincial use of GMHAT-PC ( Global Mental Health assessment tool- primary care )in cardiac patients. Clinical Practice and Epidemiology in Mental Health. 5(1). 7–7. 10 indexed citations
20.
Bustin, Julián, et al.. (2007). Are patients' attitudes towards and knowledge of electroconvulsive therapy transcultural? A multi‐national pilot study. International Journal of Geriatric Psychiatry. 23(5). 497–503. 21 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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