Ajit Shah

44 total papers · 756 total citations
23 papers, 502 citations indexed

About

Ajit Shah is a scholar working on Psychiatry and Mental health, Clinical Psychology and Social Psychology. According to data from OpenAlex, Ajit Shah has authored 23 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Psychiatry and Mental health, 11 papers in Clinical Psychology and 5 papers in Social Psychology. Recurrent topics in Ajit Shah's work include Dementia and Cognitive Impairment Research (9 papers), Healthcare Decision-Making and Restraints (4 papers) and Mental Health Treatment and Access (4 papers). Ajit Shah is often cited by papers focused on Dementia and Cognitive Impairment Research (9 papers), Healthcare Decision-Making and Restraints (4 papers) and Mental Health Treatment and Access (4 papers). Ajit Shah collaborates with scholars based in United Kingdom, South Korea and United States. Ajit Shah's co-authors include Guk‐Hee Suh, Byeong Kil Yeon, Young‐Su Ju, Graeme Halliday, John Snowdon, Rachel Jenkins, Joseph Mbatia, James Lindesay, Carol Jagger and Guk Hee Suh and has published in prestigious journals such as Journal of the American Geriatrics Society, Acta Psychiatrica Scandinavica and International Journal of Geriatric Psychiatry.

In The Last Decade

Ajit Shah

20 papers receiving 470 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ajit Shah	269	143	130	74	53	23	502
Joji Onishi	189 0.7×	92 0.6×	169 1.3×	88 1.2×	33 0.6×	31	539
Alexandra Martini de Oliveira	438 1.6×	92 0.6×	129 1.0×	63 0.9×	43 0.8×	16	604
Alison Warren	244 0.9×	64 0.4×	133 1.0×	73 1.0×	48 0.9×	30	571
P V Rabins	389 1.4×	81 0.6×	101 0.8×	61 0.8×	24 0.5×	13	586
Julie Lorraine O’Sullivan	136 0.5×	79 0.6×	126 1.0×	37 0.5×	36 0.7×	41	498
Leslie O. Dunn	185 0.7×	144 1.0×	123 0.9×	82 1.1×	117 2.2×	14	600
Suzanne Fitzsimmons	294 1.1×	62 0.4×	182 1.4×	87 1.2×	63 1.2×	26	492
Mario Di Fiorino	208 0.8×	200 1.4×	66 0.5×	54 0.7×	27 0.5×	33	509
Hyo Shin Kang	273 1.0×	109 0.8×	65 0.5×	97 1.3×	27 0.5×	37	500
Kuan‐Yu Pan	140 0.5×	66 0.5×	82 0.6×	69 0.9×	31 0.6×	31	455

Countries citing papers authored by Ajit Shah

Since Specialization

Citations

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

Fields of papers citing papers by Ajit Shah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ajit Shah

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

All Works

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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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