Kanit Reesukumal

568 total citations
19 papers, 384 citations indexed

About

Kanit Reesukumal is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Kanit Reesukumal has authored 19 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Epidemiology and 4 papers in Physiology. Recurrent topics in Kanit Reesukumal's work include Clinical Laboratory Practices and Quality Control (4 papers), Urinary Tract Infections Management (3 papers) and Vitamin D Research Studies (2 papers). Kanit Reesukumal is often cited by papers focused on Clinical Laboratory Practices and Quality Control (4 papers), Urinary Tract Infections Management (3 papers) and Vitamin D Research Studies (2 papers). Kanit Reesukumal collaborates with scholars based in Thailand, United States and Singapore. Kanit Reesukumal's co-authors include Busadee Pratumvinit, Morayma Reyes, Kajohnkiart Janebodin, Nicholas Ieronimakis, Orapin V. Horst, Gayathri Balasundaram, Tuangsit Wataganara, Gerald J. Kost, Narisorn Kongruttanachok and Saowalak Hunnangkul and has published in prestigious journals such as PLoS ONE, BMC Public Health and Clinica Chimica Acta.

In The Last Decade

Kanit Reesukumal

18 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kanit Reesukumal Thailand 11 88 85 67 64 56 19 384
Joseph Zullo United States 9 45 0.5× 148 1.7× 82 1.2× 63 1.0× 78 1.4× 12 554
Marie‐Christine Machet France 15 81 0.9× 93 1.1× 68 1.0× 45 0.7× 84 1.5× 32 523
Anja J. Gerrits United States 12 41 0.5× 59 0.7× 70 1.0× 24 0.4× 170 3.0× 20 649
Chisa Yamada United States 12 43 0.5× 93 1.1× 18 0.3× 28 0.4× 45 0.8× 27 418
Nathan Brinkman United States 9 147 1.7× 154 1.8× 32 0.5× 79 1.2× 70 1.3× 24 502
Qiying Dai United States 13 15 0.2× 170 2.0× 41 0.6× 45 0.7× 67 1.2× 35 406
P Sciacca Italy 11 57 0.6× 66 0.8× 44 0.7× 81 1.3× 101 1.8× 36 347
Shilpa Jain United States 13 181 2.1× 100 1.2× 30 0.4× 91 1.4× 41 0.7× 26 583
T Horne Israel 11 23 0.3× 43 0.5× 65 1.0× 33 0.5× 137 2.4× 29 405
Lauren Scarfe United Kingdom 10 51 0.6× 110 1.3× 19 0.3× 20 0.3× 65 1.2× 13 348

Countries citing papers authored by Kanit Reesukumal

Since Specialization
Citations

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

Fields of papers citing papers by Kanit Reesukumal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kanit Reesukumal

This figure shows the co-authorship network connecting the top 25 collaborators of Kanit Reesukumal. A scholar is included among the top collaborators of Kanit Reesukumal 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 Kanit Reesukumal. Kanit Reesukumal 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.
Reesukumal, Kanit, et al.. (2022). Reducing Laboratory Turnaround Time in Patients With Acute Stroke and the Lack of Impact on Time to Reperfusion Therapy. Archives of Pathology & Laboratory Medicine. 147(1). 87–93. 3 indexed citations
2.
Pratumvinit, Busadee, et al.. (2019). Anion gap reference intervals show instrument dependence and weak correlation with albumin levels. Clinica Chimica Acta. 500. 172–179. 28 indexed citations
3.
Reesukumal, Kanit, et al.. (2019). Increased effectiveness of urinalysis testing via the integration of automated instrumentation, the lean management approach, and autoverification. Journal of Clinical Laboratory Analysis. 34(1). e23029–e23029. 8 indexed citations
4.
Udompunturak, Suthipol, Saowalak Hunnangkul, Kanit Reesukumal, et al.. (2019). Altered profile of circulating microparticles in nonvalvular atrial fibrillation. Clinical Cardiology. 42(4). 425–431. 20 indexed citations
5.
Boriboonhirunsarn, Dittakarn, et al.. (2018). A retrospective review of on-admission factors on attainment of therapeutic serum concentrations of magnesium sulfate in women treated for a diagnosis of preeclampsia. The Journal of Maternal-Fetal & Neonatal Medicine. 33(2). 258–266. 5 indexed citations
6.
Pratumvinit, Busadee, et al.. (2018). Hemoglobin A1c Levels Are Slightly but Significantly Lower in Normoglycemic Subjects With the Hemoglobin E Phenotype. Annals of Laboratory Medicine. 39(2). 209–213. 4 indexed citations
7.
Reesukumal, Kanit, et al.. (2017). UriSed 3 and UX‐2000 automated urine sediment analyzers vs manual microscopic method: A comparative performance analysis. Journal of Clinical Laboratory Analysis. 32(2). 23 indexed citations
8.
9.
Pratumvinit, Busadee, et al.. (2016). Performance Evaluation and Comparison of the Fully Automated Urinalysis Analyzers UX-2000 and Cobas 6500. Laboratory Medicine. 47(2). 124–133. 24 indexed citations
10.
Siriussawakul, Arunotai, et al.. (2016). Reference Values for Umbilical Cord Blood Gases of Newborns Delivered by Elective Cesarean Section.. PubMed. 99(5). 611–7. 10 indexed citations
11.
Reesukumal, Kanit, et al.. (2015). Hypovitaminosis D in healthy children in Central Thailand: prevalence and risk factors. BMC Public Health. 15(1). 248–248. 15 indexed citations
12.
Pratumvinit, Busadee, et al.. (2015). Maternal Vitamin D Status and Its Related Factors in Pregnant Women in Bangkok, Thailand. PLoS ONE. 10(7). e0131126–e0131126. 38 indexed citations
13.
Pratumvinit, Busadee, et al.. (2014). Optimal criteria for microscopic review of urinalysis following use of automated urine analyzer. Clinica Chimica Acta. 439. 1–4. 24 indexed citations
14.
Pratumvinit, Busadee, et al.. (2013). Should acidification of urine be performed before the analysis of calcium, phosphate and magnesium in the presence of crystals?. Clinica Chimica Acta. 426. 46–50. 5 indexed citations
15.
Pratumvinit, Busadee, Kanit Reesukumal, Kajohnkiart Janebodin, Nicholas Ieronimakis, & Morayma Reyes. (2013). Isolation, Characterization, and Transplantation of Cardiac Endothelial Cells. BioMed Research International. 2013. 1–18. 16 indexed citations
16.
Pratumvinit, Busadee, et al.. (2013). Validation and Optimization of Criteria for Manual Smear Review Following Automated Blood Cell Analysis in a Large University Hospital. Archives of Pathology & Laboratory Medicine. 137(3). 408–414. 29 indexed citations
17.
Reesukumal, Kanit & Busadee Pratumvinit. (2012). B-Type Natriuretic Peptide not TIMI Risk Score Predicts Death After Acute Coronary Syndrome. Clinical Laboratory. 59(01+02/2013). 1017–22. 7 indexed citations
18.
Reesukumal, Kanit & Busadee Pratumvinit. (2012). Purification, Expansion and Characterization of Putative Murine Cardiac Progenitor Cells. Journal of Stem Cell Research & Therapy. 1(S1).
19.
Janebodin, Kajohnkiart, Orapin V. Horst, Nicholas Ieronimakis, et al.. (2011). Isolation and Characterization of Neural Crest-Derived Stem Cells from Dental Pulp of Neonatal Mice. PLoS ONE. 6(11). e27526–e27526. 121 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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