Matthew Inada-Kim

1.1k total citations
28 papers, 599 citations indexed

About

Matthew Inada-Kim is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Emergency Medicine. According to data from OpenAlex, Matthew Inada-Kim has authored 28 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 8 papers in Pulmonary and Respiratory Medicine and 7 papers in Emergency Medicine. Recurrent topics in Matthew Inada-Kim's work include Sepsis Diagnosis and Treatment (10 papers), Emergency and Acute Care Studies (7 papers) and Respiratory Support and Mechanisms (7 papers). Matthew Inada-Kim is often cited by papers focused on Sepsis Diagnosis and Treatment (10 papers), Emergency and Acute Care Studies (7 papers) and Respiratory Support and Mechanisms (7 papers). Matthew Inada-Kim collaborates with scholars based in United Kingdom, United States and France. Matthew Inada-Kim's co-authors include Cecilia Vindrola‐Padros, Naomi Fulop, Trisha Greenhalgh, Matthew Knight, Jonathan Leach, Emmanuel Nsutebu, Peter Spurgeon, Matthew W Cooke, Mark Sujan and Allison Streetly and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and BMJ.

In The Last Decade

Matthew Inada-Kim

25 papers receiving 588 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Inada-Kim United Kingdom 14 169 146 107 100 96 28 599
Susumu Kunisawa Japan 17 192 1.1× 134 0.9× 88 0.8× 147 1.5× 75 0.8× 100 821
Shu‐Xia Li United States 17 199 1.2× 149 1.0× 79 0.7× 170 1.7× 59 0.6× 42 983
Roopa Kohli‐Seth United States 14 133 0.8× 107 0.7× 183 1.7× 38 0.4× 72 0.8× 67 952
George L. Anesi United States 14 176 1.0× 201 1.4× 92 0.9× 109 1.1× 71 0.7× 39 679
Dennis G. Barten Netherlands 13 63 0.4× 159 1.1× 58 0.5× 132 1.3× 62 0.6× 71 619
Jörg Christian Brokmann Germany 19 169 1.0× 346 2.4× 105 1.0× 97 1.0× 223 2.3× 54 953
Josep Trenado Spain 13 72 0.4× 130 0.9× 121 1.1× 64 0.6× 74 0.8× 25 459
Mansoor N. Bangash United Kingdom 14 163 1.0× 114 0.8× 163 1.5× 69 0.7× 28 0.3× 34 833
Eric J. Morley United States 15 143 0.8× 278 1.9× 68 0.6× 91 0.9× 76 0.8× 49 693
Iwan A. Meynaar Netherlands 13 276 1.6× 196 1.3× 78 0.7× 37 0.4× 67 0.7× 24 668

Countries citing papers authored by Matthew Inada-Kim

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Inada-Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Inada-Kim. 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 Matthew Inada-Kim. The network helps show where Matthew Inada-Kim may publish in the future.

Co-authorship network of co-authors of Matthew Inada-Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Inada-Kim. A scholar is included among the top collaborators of Matthew Inada-Kim 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 Matthew Inada-Kim. Matthew Inada-Kim 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
2.
Hoang, Uy, Cecilia Okusi, Rachel Byford, et al.. (2024). Qualitative evaluation of a molecular point-of-care testing study for influenza in UK primary care. BJGP Open. 8(4). BJGPO.2024.0112–BJGPO.2024.0112.
3.
Inada-Kim, Matthew, Francis Chmiel, Michael Boniface, et al.. (2024). Validation of oxygen saturations measured in the community by emergency medical services as a marker of clinical deterioration in patients with confirmed COVID-19: a retrospective cohort study. BMJ Open. 14(1). e067378–e067378. 5 indexed citations
4.
Molloy, Aoife, et al.. (2023). Acute Respiratory Infection Hubs: A Service Model with Potential to Optimise Infection Management. Antibiotics. 12(5). 819–819. 4 indexed citations
5.
Boniface, Michael, et al.. (2022). COVID-19 Oximetry @home: evaluation of patient outcomes. BMJ Open Quality. 11(1). e001584–e001584. 11 indexed citations
6.
Moosavi, Shakeeb H., Jonathan P. Moore, Helen Dawes, et al.. (2022). Feasibility and accuracy of the 40-steps desaturation test to determine outcomes in a cohort of patients presenting to hospital with and without COVID-19. Clinical Medicine. 22(3). 203–209.
7.
Greenhalgh, Trisha, Matthew Knight, Matthew Inada-Kim, et al.. (2021). Remote management of covid-19 using home pulse oximetry and virtual ward support. BMJ. 372. n677–n677. 97 indexed citations
8.
Kalin, Asli, Babak Javid, Matthew Knight, Matthew Inada-Kim, & Trisha Greenhalgh. (2021). Direct and indirect evidence of efficacy and safety of rapid exercise tests for exertional desaturation in Covid-19: a rapid systematic review. Systematic Reviews. 10(1). 77–77. 30 indexed citations
9.
Vindrola‐Padros, Cecilia, Manbinder Sidhu, Theo Georghiou, et al.. (2021). Remote home monitoring (virtual wards) for confirmed or suspected COVID-19 patients: a rapid systematic review. EClinicalMedicine. 37. 100965–100965. 90 indexed citations
10.
Inada-Kim, Matthew, Francis Chmiel, Michael Boniface, et al.. (2020). Validation of home oxygen saturations as a marker of clinical deterioration in patients with suspected COVID-19. ePrints Soton (University of Southampton). 1 indexed citations
11.
Vindrola‐Padros, Cecilia, Manbinder Sidhu, Theo Georghiou, et al.. (2020). Remote home monitoring (virtual wards) during the COVID-19 pandemic: a systematic review. medRxiv. 13 indexed citations
12.
Pullyblank, Anne, et al.. (2020). Implementation of the National Early Warning Score in patients with suspicion of sepsis: evaluation of a system-wide quality improvement project. British Journal of General Practice. 70(695). e381–e388. 39 indexed citations
13.
Tidswell, Robert, Matthew Inada-Kim, & Mervyn Singer. (2020). Sepsis: the importance of an accurate final diagnosis. The Lancet Respiratory Medicine. 9(1). 17–18. 10 indexed citations
14.
Hartmann‐Boyce, Jamie, James Gunnell, Jana Suklan, et al.. (2020). Asthma and COVID-19: review of evidence on risks and management considerations. BMJ evidence-based medicine. 26(4). 195–195. 42 indexed citations
15.
Inada-Kim, Matthew, et al.. (2020). The prognostic value of national early warning scores (NEWS) during transfer of care from community settings to hospital: a retrospective service evaluation. BJGP Open. 4(2). bjgpopen20X101071–bjgpopen20X101071. 15 indexed citations
16.
Inada-Kim, Matthew & Emmanuel Nsutebu. (2018). NEWS 2: an opportunity to standardise the management of deterioration and sepsis. BMJ. 360. k1260–k1260. 25 indexed citations
17.
Inada-Kim, Matthew, Bethan Page, Imran Maqsood, & Charles Vincent. (2017). Defining and measuring suspicion of sepsis: an analysis of routine data. BMJ Open. 7(6). e014885–e014885. 22 indexed citations
18.
Sujan, Mark, et al.. (2014). Description of identified risks. 1 indexed citations
19.
Sujan, Mark, et al.. (2013). Emergency Care Handover (ECHO study) across care boundaries: the need for joint decision making and consideration of psychosocial history. Emergency Medicine Journal. 32(2). 112–118. 21 indexed citations
20.
Kim, Young Tae, et al.. (2008). Evaluation of Tissue Mimicking Quality of Tofu for Biomedical Ultrasound. Ultrasound in Medicine & Biology. 35(3). 472–481. 14 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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