Anupol Panitchote

514 total citations
19 papers, 255 citations indexed

About

Anupol Panitchote is a scholar working on Epidemiology, Critical Care and Intensive Care Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Anupol Panitchote has authored 19 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 5 papers in Critical Care and Intensive Care Medicine and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Anupol Panitchote's work include Intensive Care Unit Cognitive Disorders (4 papers), Sepsis Diagnosis and Treatment (4 papers) and Respiratory Support and Mechanisms (3 papers). Anupol Panitchote is often cited by papers focused on Intensive Care Unit Cognitive Disorders (4 papers), Sepsis Diagnosis and Treatment (4 papers) and Respiratory Support and Mechanisms (3 papers). Anupol Panitchote collaborates with scholars based in Thailand, United States and United Kingdom. Anupol Panitchote's co-authors include Eduardo Mireles‐Cabodevila, Abhijit Duggal, Sudhir Krishnan, Tarik Hanane, Omar Mehkri, Heather Torbic, Andrei Hastings, Sevag Demirjian, Somsak Tiamkao and Panita Limpawattana and has published in prestigious journals such as PLoS ONE, Critical Care and BMC Infectious Diseases.

In The Last Decade

Anupol Panitchote

18 papers receiving 249 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anupol Panitchote Thailand 8 69 65 60 57 53 19 255
Bilgin Cömert Türkiye 11 41 0.6× 41 0.6× 46 0.8× 97 1.7× 43 0.8× 46 329
Madiha Hashmi Pakistan 11 37 0.5× 62 1.0× 37 0.6× 95 1.7× 39 0.7× 39 309
Andrew J. Vincz United States 10 171 2.5× 88 1.4× 45 0.8× 53 0.9× 40 0.8× 12 315
K De Vasconcellos South Africa 8 53 0.8× 52 0.8× 21 0.3× 62 1.1× 48 0.9× 32 253
Daniel Dankl Austria 10 28 0.4× 64 1.0× 45 0.8× 89 1.6× 53 1.0× 19 286
Daði Helgason Iceland 9 136 2.0× 51 0.8× 33 0.6× 32 0.6× 103 1.9× 18 355
Wanhong Yin China 11 23 0.3× 110 1.7× 60 1.0× 73 1.3× 75 1.4× 60 340
Konlawij Trongtrakul Thailand 10 63 0.9× 47 0.7× 61 1.0× 51 0.9× 37 0.7× 43 258
James Lavelle United States 8 40 0.6× 116 1.8× 54 0.9× 28 0.5× 66 1.2× 8 313
A.C. Collins United Kingdom 8 30 0.4× 64 1.0× 64 1.1× 31 0.5× 142 2.7× 11 340

Countries citing papers authored by Anupol Panitchote

Since Specialization
Citations

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

Fields of papers citing papers by Anupol Panitchote

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anupol Panitchote

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

All Works

19 of 19 papers shown
1.
Kongbunkiat, Kannikar, et al.. (2025). Screening for Parkinson’s disease using “computer vision”. PLoS ONE. 20(8). e0330373–e0330373. 1 indexed citations
2.
McKay, Gareth J., et al.. (2025). Uncertainty-aware approach for multiple imputation using conventional and machine learning models: a real-world data study. Journal Of Big Data. 12(1). 1 indexed citations
3.
Nazer, Lama, Tamás Szakmány, Marie‐Laure Charpignon, et al.. (2023). Patient diversity and author representation in clinical studies supporting the Surviving Sepsis Campaign guidelines for management of sepsis and septic shock 2021: a systematic review of citations. BMC Infectious Diseases. 23(1). 751–751. 6 indexed citations
4.
Charpignon, Marie‐Laure, Joseph T. Byers, Stephanie Cabral, et al.. (2023). Critical Bias in Critical Care Devices. Critical Care Clinics. 39(4). 795–813. 19 indexed citations
5.
Permpikul, Chairat, et al.. (2022). Incidence of proximal deep vein thrombosis in medical critical care patients. Thrombosis Journal. 20(1). 5–5. 7 indexed citations
6.
Tiamkao, Somsak, et al.. (2022). Propensity Score Analysis of the Association between Chronic Obstructive Lung Disease and Stroke Outcome: Thailand’s National Database. Cerebrovascular Diseases. 51(5). 577–584. 3 indexed citations
7.
Kongbunkiat, Kannikar, et al.. (2021). The epidemiology of Guillain‐Barré syndrome in Thailand over 13 years (2005‐2017): A nationwide population‐based retrospective cohort study. Journal of the Peripheral Nervous System. 26(2). 202–208. 6 indexed citations
8.
Duggal, Abhijit, Anupol Panitchote, Matthew Siuba, et al.. (2020). Implementation of Protocolized Care in ARDS Improves Outcomes. Respiratory Care. 66(4). 600–609. 9 indexed citations
9.
Panitchote, Anupol, et al.. (2020). Imaging features of bone metastases from cholangiocarcinoma. European Journal of Radiology. 129. 109118–109118. 6 indexed citations
10.
Siuba, Matthew, Anupol Panitchote, Eduardo Mireles‐Cabodevila, et al.. (2020). Higher Class of Obesity Is Associated With Delivery of Higher Tidal Volumes in Subjects With ARDS. Respiratory Care. 65(10). 1519–1526. 6 indexed citations
11.
Panitchote, Anupol, et al.. (2020). Discrimination between tuberculous and bacterial pyomyositis in magnetic resonance features. European Journal of Radiology Open. 7. 100214–100214. 5 indexed citations
12.
Panitchote, Anupol, Omar Mehkri, Andrei Hastings, et al.. (2019). Factors associated with acute kidney injury in acute respiratory distress syndrome. Annals of Intensive Care. 9(1). 74–74. 120 indexed citations
13.
Panitchote, Anupol, Omar Mehkri, Andrei Hastings, et al.. (2019). Clinical predictors of renal non-recovery in acute respiratory distress syndrome. BMC Nephrology. 20(1). 255–255. 7 indexed citations
14.
Panitchote, Anupol, et al.. (2019). Energy expenditure in severe sepsis or septic shock in a Thai Medical Intensive Care Unit.. PubMed. 26(5). 794–797. 9 indexed citations
15.
Limpawattana, Panita, et al.. (2018). Long-term outcomes and predictors of survival after cardiopulmonary resuscitation for in-hospital cardiac arrest in a tertiary care hospital in Thailand. Therapeutics and Clinical Risk Management. Volume 14. 583–589. 7 indexed citations
16.
Panitchote, Anupol, Suranut Charoensri, Ploenchan Chetchotisakd, & Cameron Hurst. (2015). Pilot study of a non-return catheter valve for reducing catheter-associated urinary tract infections in critically ill patients.. PubMed. 98(2). 150–5.
17.
Limpawattana, Panita, et al.. (2015). Delirium in critical care: a study of incidence, prevalence, and associated factors in the tertiary care hospital of older Thai adults. Aging & Mental Health. 20(1). 74–80. 31 indexed citations
18.
Panitchote, Anupol, et al.. (2010). Prevalence and incidence of proximal deep vein thrombosis in critically ill patients. Critical Care. 14(Suppl 1). P359–P359. 3 indexed citations
19.
Panitchote, Anupol & Somsak Tiamkao. (2010). Prevalence of post-stroke seizures in Srinagarind Hospital.. PubMed. 93(9). 1037–42. 9 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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