Eka Melson

1.7k total citations · 1 hit paper
35 papers, 441 citations indexed

About

Eka Melson is a scholar working on Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health and Physiology. According to data from OpenAlex, Eka Melson has authored 35 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Endocrinology, Diabetes and Metabolism, 10 papers in Public Health, Environmental and Occupational Health and 9 papers in Physiology. Recurrent topics in Eka Melson's work include Diabetes Management and Research (8 papers), Diabetes and associated disorders (7 papers) and Simulation-Based Education in Healthcare (6 papers). Eka Melson is often cited by papers focused on Diabetes Management and Research (8 papers), Diabetes and associated disorders (7 papers) and Simulation-Based Education in Healthcare (6 papers). Eka Melson collaborates with scholars based in United Kingdom, Malaysia and United States. Eka Melson's co-authors include Dimitris Papamargaritis, Melanie J. Davies, Punith Kempegowda, Wiebke Arlt, Konstantinos Manolopoulos, Michael O’Reilly, Lucretia Thomas, Dengyi Zhou, Angelos Kyriacou and Alexander D. Miras and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, International Journal of Obesity and Clinical Endocrinology.

In The Last Decade

Eka Melson

29 papers receiving 433 citations

Hit Papers

What is the pipeline for future medications for obesity? 2024 2026 2025 2024 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eka Melson United Kingdom 11 201 121 85 74 72 35 441
Viviana Mesch Argentina 12 255 1.3× 56 0.5× 23 0.3× 35 0.5× 73 1.0× 25 505
Nazia Raja‐Khan United States 12 201 1.0× 151 1.2× 49 0.6× 61 0.8× 49 0.7× 23 743
Gabriela Arata-Bellabarba Venezuela 12 275 1.4× 70 0.6× 49 0.6× 32 0.4× 30 0.4× 23 464
Virginia Zamponi Italy 10 209 1.0× 32 0.3× 43 0.5× 37 0.5× 17 0.2× 31 405
Shubha Srinivasan Australia 13 234 1.2× 139 1.1× 66 0.8× 116 1.6× 59 0.8× 31 631
Pei Chia Eng United Kingdom 12 203 1.0× 38 0.3× 17 0.2× 39 0.5× 21 0.3× 41 491
Piotr Skałba Poland 11 102 0.5× 52 0.4× 76 0.9× 25 0.3× 37 0.5× 34 471
Selina Liu Canada 6 160 0.8× 30 0.2× 18 0.2× 89 1.2× 36 0.5× 24 329
Teresa Salazar Chile 13 296 1.5× 278 2.3× 14 0.2× 67 0.9× 83 1.2× 31 1.1k
V. Robert France 9 181 0.9× 55 0.5× 20 0.2× 89 1.2× 27 0.4× 14 459

Countries citing papers authored by Eka Melson

Since Specialization
Citations

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

Fields of papers citing papers by Eka Melson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eka Melson

This figure shows the co-authorship network connecting the top 25 collaborators of Eka Melson. A scholar is included among the top collaborators of Eka Melson 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 Eka Melson. Eka Melson 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
1.
Thomas, Anu, Garima Gupta, Henry Lynn, et al.. (2025). Improving the rates of inpatient HbA 1c assessment and medication deintensification in people with diabetes and frailty. BMJ Open Quality. 14(3). e003223–e003223.
2.
Melson, Eka, et al.. (2024). Tertiary centre study highlights low inpatient deintensification and risks associated with adverse outcomes in frail people with diabetes. Clinical Medicine. 24(2). 100029–100029. 2 indexed citations
3.
Melson, Eka, et al.. (2024). What is the pipeline for future medications for obesity?. International Journal of Obesity. 49(3). 433–451. 161 indexed citations breakdown →
4.
5.
Melson, Eka, Alexander D. Miras, & Dimitris Papamargaritis. (2023). Future therapies for obesity. Clinical Medicine. 23(4). 337–346. 22 indexed citations
6.
Malhotra, Kashish, et al.. (2023). Levelling the learning ground for healthcare professionals across the world through SIMBA: a mixed-methods study. BMJ Open. 13(7). e069109–e069109. 2 indexed citations
7.
Sheikh, Jameela, Eka Melson, Helena Gleeson, et al.. (2023). Improving emotional and psychosexual well-being screening in women living with polycystic ovary syndrome: experiences from the United Kingdom and India. Endocrine Connections. 12(11). 2 indexed citations
8.
Shabnam, Sharmin, Clare Gillies, Melanie J. Davies, et al.. (2023). Factors associated with therapeutic inertia in individuals with type 2 diabetes mellitus started on basal insulin. Diabetes Research and Clinical Practice. 203. 110888–110888. 3 indexed citations
9.
Melson, Eka, Kashish Malhotra, Aya Mousa, et al.. (2023). A systematic review of models of care for polycystic ovary syndrome highlights the gap in the literature, especially in developing countries. Frontiers in Endocrinology. 14. 1217468–1217468. 10 indexed citations
10.
Melson, Eka, et al.. (2023). Sex-Specific Obesity and Cardiometabolic Disease Risks in Low- and Middle-Income Countries: A Meta-Analysis Involving 3 916 276 Individuals. The Journal of Clinical Endocrinology & Metabolism. 109(4). 1145–1153. 3 indexed citations
11.
Malhotra, Kashish, Chau Thien Tay, Aya Mousa, et al.. (2023). Body image concerns in women with polycystic ovary syndrome: a systematic review and meta-analysis. European Journal of Endocrinology. 189(2). R1–R9. 23 indexed citations
13.
Melson, Eka, et al.. (2021). Adaptation and use of media in an innovative simulation-based clinician training programme. BMJ Simulation & Technology Enhanced Learning. 7(6). 650–652.
14.
Kempegowda, Punith, Eka Melson, Lucretia Thomas, et al.. (2021). Differences in presentation, severity and management of DKA in type 1 and type 2 diabetes during the COVID-19 pandemic. Clinical Medicine. 21(2). 1–2. 4 indexed citations
15.
Thomas, Lucretia, et al.. (2021). SIMBA as an alternative and/or an adjunct to pre-medical work experience during the COVID-19 pandemic. Future Healthcare Journal. 8(1). e142–e145. 1 indexed citations
17.
Kempegowda, Punith, Eka Melson, Lucretia Thomas, et al.. (2021). Effect of COVID-19 on the clinical course of diabetic ketoacidosis (DKA) in people with type 1 and type 2 diabetes. Endocrine Connections. 10(4). 371–377. 22 indexed citations
18.
Kyriacou, Angelos, et al.. (2020). Is immune checkpoint inhibitor-associated diabetes the same as fulminant type 1 diabetes mellitus?. Clinical Medicine. 20(4). 417–423. 33 indexed citations
19.
Kempegowda, Punith, Eka Melson, Lucretia Thomas, et al.. (2020). Simulation training using WhatsApp (Sim-thru-WhatsApp) improves doctors’ confidence in endocrine and diabetes case management. Clinical Medicine. 20(2). s62–s63. 1 indexed citations
20.
Thomas, Lucretia, Eka Melson, Joht Singh Chandan, et al.. (2020). Retrospective validation of Digital Evaluation of Ketosis and Other Diabetes Emergencies (DEKODE) algorithm: automated auditing system for diabetic ketoacidosis (DKA) management. Future Healthcare Journal. 7(Suppl 1). s75–s76.

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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