Shondipon Laha

1.6k total citations
10 papers, 365 citations indexed

About

Shondipon Laha is a scholar working on Radiological and Ultrasound Technology, Epidemiology and Emergency Medicine. According to data from OpenAlex, Shondipon Laha has authored 10 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiological and Ultrasound Technology, 3 papers in Epidemiology and 3 papers in Emergency Medicine. Recurrent topics in Shondipon Laha's work include Family and Patient Care in Intensive Care Units (3 papers), Hospital Admissions and Outcomes (2 papers) and Intensive Care Unit Cognitive Disorders (2 papers). Shondipon Laha is often cited by papers focused on Family and Patient Care in Intensive Care Units (3 papers), Hospital Admissions and Outcomes (2 papers) and Intensive Care Unit Cognitive Disorders (2 papers). Shondipon Laha collaborates with scholars based in United Kingdom and United States. Shondipon Laha's co-authors include Jacqueline Baldwin, Peter S. Bunting, Nicola Power, Fiona James, David Y. Mason, Adrian L. Harris, Kevin C. Gatter, A. N. Thomas, Francesco Pezzella and Helen Morrison and has published in prestigious journals such as Cochrane Database of Systematic Reviews, Critical Care and British Journal of Haematology.

In The Last Decade

Shondipon Laha

9 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shondipon Laha United Kingdom 8 206 91 86 62 44 10 365
Lauren M. King United States 9 344 1.7× 151 1.7× 127 1.5× 88 1.4× 92 2.1× 13 494
Zhan Liang United States 13 126 0.6× 96 1.1× 51 0.6× 19 0.3× 27 0.6× 37 613
Cydni N. Williams United States 17 186 0.9× 154 1.7× 30 0.3× 34 0.5× 18 0.4× 54 665
Jamey Guess United States 11 292 1.4× 28 0.3× 149 1.7× 140 2.3× 15 0.3× 12 582
Benjamin Scott United States 8 60 0.3× 14 0.2× 43 0.5× 29 0.5× 17 0.4× 28 340
Cora Ormseth United States 10 171 0.8× 29 0.3× 81 0.9× 49 0.8× 5 0.1× 15 467
Sailan Li China 10 102 0.5× 40 0.4× 36 0.4× 35 0.6× 14 0.3× 44 293
Shane O’Hanlon Ireland 10 119 0.6× 17 0.2× 60 0.7× 21 0.3× 5 0.1× 46 401
James Sullivan United States 5 332 1.6× 134 1.5× 145 1.7× 82 1.3× 2 0.0× 12 555
Rebecca von Haken Germany 13 392 1.9× 61 0.7× 275 3.2× 228 3.7× 14 0.3× 32 525

Countries citing papers authored by Shondipon Laha

Since Specialization
Citations

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

Fields of papers citing papers by Shondipon Laha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shondipon Laha

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

All Works

10 of 10 papers shown
1.
Laha, Shondipon, et al.. (2025). A retrospective comparison study of delayed admissions into the critical care unit. Journal of the Intensive Care Society. 26(3). 404–406.
2.
Laha, Shondipon, J. D. Allan, S. Nanda, et al.. (2023). A user evaluation of speech/phrase recognition software in critically ill patients: a DECIDE-AI feasibility study. Critical Care. 27(1). 277–277. 8 indexed citations
3.
Power, Nicola, et al.. (2018). Intensive care decision-making: Identifying the challenges and generating solutions to improve inter-specialty referrals to critical care. Journal of the Intensive Care Society. 19(4). 287–298. 11 indexed citations
4.
Howarth, Rachel, et al.. (2018). SoundEar noise warning devices cause a sustained reduction in ambient noise in adult critical care. Journal of the Intensive Care Society. 20(2). 106–110. 21 indexed citations
5.
Mulvaney, Caroline, et al.. (2018). Dopamine agonists for traumatic brain injury. Cochrane Database of Systematic Reviews. 1 indexed citations
6.
James, Fiona, Nicola Power, & Shondipon Laha. (2017). Decision-making in intensive care medicine – A review. Journal of the Intensive Care Society. 19(3). 247–258. 43 indexed citations
7.
8.
Thomas, A. N., et al.. (2008). An educational and audit tool to reduce prescribing error in intensive care. BMJ Quality & Safety. 17(5). 360–363. 25 indexed citations
9.
Laha, Shondipon, et al.. (2007). Glucose control in critical illness using a web-based insulin dose calculator. Medical Engineering & Physics. 30(4). 478–482. 9 indexed citations
10.
Kocialkowski, Sylvia, Francesco Pezzella, Helen Morrison, et al.. (1995). Mutations in the p53 gene are not limited to classic 'hot spots' and are not predictive of p53 protein expression in high‐grade non‐Hodgkin's lymphoma. British Journal of Haematology. 89(1). 55–60. 39 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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