Shital Muke

610 total citations
7 papers, 196 citations indexed

About

Shital Muke is a scholar working on Social Psychology, General Health Professions and Clinical Psychology. According to data from OpenAlex, Shital Muke has authored 7 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Social Psychology, 4 papers in General Health Professions and 3 papers in Clinical Psychology. Recurrent topics in Shital Muke's work include Mental Health Treatment and Access (5 papers), COVID-19 and Mental Health (3 papers) and Digital Mental Health Interventions (2 papers). Shital Muke is often cited by papers focused on Mental Health Treatment and Access (5 papers), COVID-19 and Mental Health (3 papers) and Digital Mental Health Interventions (2 papers). Shital Muke collaborates with scholars based in India, United States and South Africa. Shital Muke's co-authors include Azaz Khan, Ritu Shrivastava, Rahul Shidhaye, Vikram Patel, Vaibhav Murhar, John A. Naslund, Deepak Tugnawat, Crick Lund, Abhishek Singh and Anant Bhan and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Environmental Research and Public Health and BMJ Global Health.

In The Last Decade

Shital Muke

7 papers receiving 191 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shital Muke India	6	119	86	84	56	36	7	196
Azaz Khan India	8	158 1.3×	107 1.2×	102 1.2×	98 1.8×	47 1.3×	19	260
Onaiza Qureshi United Kingdom	7	124 1.0×	81 0.9×	105 1.3×	23 0.4×	12 0.3×	14	208
Courtney Kase United States	7	78 0.7×	115 1.3×	55 0.7×	41 0.7×	50 1.4×	25	230
Nicole Votruba United Kingdom	8	108 0.9×	101 1.2×	97 1.2×	14 0.3×	35 1.0×	20	240
Kaustubh Joag Netherlands	8	198 1.7×	145 1.7×	104 1.2×	34 0.6×	25 0.7×	13	273
Sarah Darghouth United States	8	71 0.6×	167 1.9×	80 1.0×	60 1.1×	101 2.8×	9	286
Mardi Daley Canada	8	60 0.5×	196 2.3×	98 1.2×	46 0.8×	22 0.6×	16	307
Anna Machlin Australia	9	94 0.8×	138 1.6×	104 1.2×	24 0.4×	29 0.8×	28	237
Richard Appiah Ghana	9	84 0.7×	45 0.5×	124 1.5×	22 0.4×	65 1.8×	26	260
Udita Joshi India	9	82 0.7×	103 1.2×	64 0.8×	100 1.8×	103 2.9×	16	238

Countries citing papers authored by Shital Muke

Since Specialization

Citations

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

Fields of papers citing papers by Shital Muke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shital Muke

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

Muke, Shital, Steven D. Hollon, Udita Joshi, et al.. (2024). Burnout, motivation and job satisfaction among community health workers recruited for a depression training in Madhya Pradesh, India: a cross-sectional study. SHILAP Revista de lepidopterología. 2(2). e001257–e001257. 1 indexed citations

Joshi, Udita, Azaz Khan, Shital Muke, et al.. (2021). Development and implementation of COVID-19 safety protocols for conducting a randomized trial in global mental health: Field report from Central India. Asian Journal of Psychiatry. 63. 102750–102750. 7 indexed citations

Muke, Shital, Deepak Tugnawat, Udita Joshi, et al.. (2020). Digital Training for Non-Specialist Health Workers to Deliver a Brief Psychological Treatment for Depression in Primary Care in India: Findings from a Randomized Pilot Study. International Journal of Environmental Research and Public Health. 17(17). 6368–6368. 40 indexed citations

Shidhaye, Rahul, Vaibhav Murhar, Shital Muke, et al.. (2019). Delivering a complex mental health intervention in low-resource settings: lessons from the implementation of the PRIME mental healthcare plan in primary care in Sehore district, Madhya Pradesh, India. BJPsych Open. 5(5). e63–e63. 14 indexed citations

Muke, Shital, Ritu Shrivastava, Azaz Khan, et al.. (2019). Acceptability and feasibility of digital technology for training community health workers to deliver brief psychological treatment for depression in rural India. Asian Journal of Psychiatry. 45. 99–106. 42 indexed citations

Chisholm, Dan, Sumaiyah Docrat, Jibril Abdulmalik, et al.. (2019). Mental health financing challenges, opportunities and strategies in low- and middle-income countries: findings from the Emerald project. BJPsych Open. 5(5). e68–e68. 47 indexed citations

Shidhaye, Rahul, Emily Baron, Vaibhav Murhar, et al.. (2019). Community, facility and individual level impact of integrating mental health screening and treatment into the primary healthcare system in Sehore district, Madhya Pradesh, India. BMJ Global Health. 4(3). e001344–e001344. 45 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.

Explore authors with similar magnitude of impact