Shivani Padmanabhan

581 total citations
6 papers, 407 citations indexed

About

Shivani Padmanabhan is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Economics and Econometrics. According to data from OpenAlex, Shivani Padmanabhan has authored 6 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in General Health Professions, 2 papers in Public Health, Environmental and Occupational Health and 2 papers in Economics and Econometrics. Recurrent topics in Shivani Padmanabhan's work include Clinical practice guidelines implementation (2 papers), Healthcare Systems and Technology (2 papers) and Healthcare Policy and Management (1 paper). Shivani Padmanabhan is often cited by papers focused on Clinical practice guidelines implementation (2 papers), Healthcare Systems and Technology (2 papers) and Healthcare Policy and Management (1 paper). Shivani Padmanabhan collaborates with scholars based in United Kingdom, Netherlands and Ireland. Shivani Padmanabhan's co-authors include Rebecca Ghosh, Helen Strongman, Rachael Williams, Tim Williams, Nicola Motterlini, Caitríona Cahir, Carmel Hughes, Tom Fahey, Marie C. Bradley and Hubert G. M. Leufkens and has published in prestigious journals such as Health Technology Assessment, European Journal of Epidemiology and BMC Geriatrics.

In The Last Decade

Shivani Padmanabhan

6 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shivani Padmanabhan United Kingdom 4 115 96 84 68 60 6 407
Jennifer L. Ellis United States 12 91 0.8× 86 0.9× 65 0.8× 61 0.9× 65 1.1× 39 444
Daniel Ng United States 9 97 0.8× 155 1.6× 133 1.6× 85 1.3× 128 2.1× 34 712
Siew Har Tan Singapore 5 128 1.1× 86 0.9× 174 2.1× 52 0.8× 94 1.6× 10 592
Matthew Alcusky United States 13 79 0.7× 64 0.7× 88 1.0× 36 0.5× 84 1.4× 49 446
Maja Skov Paulsen Denmark 11 95 0.8× 69 0.7× 50 0.6× 58 0.9× 97 1.6× 18 481
Ya-Seng Hsueh Australia 12 113 1.0× 88 0.9× 55 0.7× 44 0.6× 23 0.4× 29 393
Laura McCullagh Ireland 14 121 1.1× 94 1.0× 73 0.9× 27 0.4× 68 1.1× 50 528
Chelsea E. Hawley United States 14 118 1.0× 162 1.7× 53 0.6× 140 2.1× 58 1.0× 36 587
Bocheng Jing United States 11 83 0.7× 117 1.2× 89 1.1× 55 0.8× 196 3.3× 40 764
Judith Sinclair-Cohen Czechia 3 138 1.2× 128 1.3× 37 0.4× 52 0.8× 126 2.1× 4 355

Countries citing papers authored by Shivani Padmanabhan

Since Specialization
Citations

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

Fields of papers citing papers by Shivani Padmanabhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shivani Padmanabhan

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

All Works

6 of 6 papers shown
1.
Booth, Helen, Arlene M. Gallagher, David Mullett, et al.. (2019). Quality improvement of prescribing safety: a pilot study in primary care using UK electronic health records. British Journal of General Practice. 69(686). e605–e611. 3 indexed citations
2.
Gallagher, Arlene M., Daniel Dedman, Shivani Padmanabhan, Hubert G. M. Leufkens, & Frank de Vries. (2019). The accuracy of date of death recording in the Clinical Practice Research Datalink GOLD database in England compared with the Office for National Statistics death registrations. Pharmacoepidemiology and Drug Safety. 28(5). 563–569. 53 indexed citations
3.
Padmanabhan, Shivani, et al.. (2018). Approach to record linkage of primary care data from Clinical Practice Research Datalink to other health-related patient data: overview and implications. European Journal of Epidemiology. 34(1). 91–99. 144 indexed citations
4.
Padmanabhan, Shivani, Oliver Smith, & Helen Strongman. (2017). Supplementing linked datasets with meaningful meta-data to enable high quality research. International Journal for Population Data Science. 1(1). 1 indexed citations
5.
Bradley, Marie C., Nicola Motterlini, Shivani Padmanabhan, et al.. (2014). Potentially inappropriate prescribing among older people in the United Kingdom. BMC Geriatrics. 14(1). 72–72. 98 indexed citations
6.
Staa, Tjeerd van, Lisa Dyson, Gerry P McCann, et al.. (2014). The opportunities and challenges of pragmatic point-of-care randomised trials using routinely collected electronic records: evaluations of two exemplar trials. Health Technology Assessment. 18(43). 1–146. 108 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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