Ádám Hulmán

1.9k total citations
56 papers, 1.2k citations indexed

About

Ádám Hulmán is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Ádám Hulmán has authored 56 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Endocrinology, Diabetes and Metabolism, 13 papers in Physiology and 11 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Ádám Hulmán's work include Diabetes Management and Research (16 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers) and Diabetes and associated disorders (8 papers). Ádám Hulmán is often cited by papers focused on Diabetes Management and Research (16 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers) and Diabetes and associated disorders (8 papers). Ádám Hulmán collaborates with scholars based in Denmark, United Kingdom and Hungary. Ádám Hulmán's co-authors include Dorte Vistisen, Daniel R. Witte, Marit E. Jørgensen, Kristine Færch, Gregers S. Andersen, Ádám G. Tabák, Eric J. Brunner, Mika Kivimäki, Jan Erik Henriksen and Christian Stevns Hansen and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ádám Hulmán

52 papers receiving 1.2k citations

Peers

Ádám Hulmán
Wayne Weng United States
Lee‐Ling Lim Malaysia
Nadia Lascar United Kingdom
Aaron Leong United States
Anastasia Thanopoulou Greece
Danyao Jin United Kingdom
Michael Leutner Austria
Hugh D. Tildesley Canada
American Diabetes Association Australia
Atieh Amouzegar Iran
Wayne Weng United States
Ádám Hulmán
Citations per year, relative to Ádám Hulmán Ádám Hulmán (= 1×) peers Wayne Weng

Countries citing papers authored by Ádám Hulmán

Since Specialization
Citations

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

Fields of papers citing papers by Ádám Hulmán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ádám Hulmán

This figure shows the co-authorship network connecting the top 25 collaborators of Ádám Hulmán. A scholar is included among the top collaborators of Ádám Hulmán 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 Ádám Hulmán. Ádám Hulmán 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.
Kampmann, Ulla, et al.. (2025). Breastfeeding and infant growth in relation to childhood overweight – a longitudinal cohort study. American Journal of Clinical Nutrition. 121(4). 835–842. 2 indexed citations
2.
Dollerup, Ole L., et al.. (2025). Navigating fairness aspects of clinical prediction models. BMC Medicine. 23(1). 567–567.
3.
Bjerg, Lasse, et al.. (2025). Changes in public perception of artificial intelligence in healthcare after exposure to ChatGPT. npj Digital Medicine. 8(1). 795–795.
4.
Fagherazzi, Guy, et al.. (2025). Racial disparities in continuous glucose monitoring-based 60-min glucose predictions among people with type 1 diabetes. PLOS Digital Health. 4(6). e0000918–e0000918. 1 indexed citations
5.
Kampmann, Ulla, et al.. (2024). The association of fetal growth rate and growth in first year of life with childhood overweight: a cohort study. International Journal of Obesity. 48(12). 1822–1830. 1 indexed citations
6.
Knorr, Sine, Jens Fuglsang, Ádám Hulmán, et al.. (2024). Hemoglobin A1c Trajectories During Pregnancy and Adverse Outcomes in Women With Type 2 Diabetes: A Danish National Population-Based Cohort Study. Diabetes Care. 47(7). 1211–1219. 1 indexed citations
7.
Wibæk, Rasmus, Gregers S. Andersen, Christina C. Dahm, Daniel R. Witte, & Ádám Hulmán. (2023). Large Language Models for Epidemiological Research via Automated Machine Learning: Case Study Using Data From the British National Child Development Study. JMIR Medical Informatics. 11. e43638–e43638. 4 indexed citations
8.
Wibæk, Rasmus, Else Helene Ibfelt, Gregers S. Andersen, et al.. (2023). Heterogeneity in glycaemic control in children and adolescents with type 1 diabetes: A latent class trajectory analysis of Danish nationwide data. Diabetic Medicine. 41(3). e15275–e15275.
9.
Christensen, Martin S., Ádám Hulmán, Christian Stevns Hansen, et al.. (2023). Autonomic dysfunction is associated with the development of arterial stiffness: the Whitehall II cohort. GeroScience. 45(4). 2443–2455. 4 indexed citations
10.
Aggarwal, Ravi, Else‐Marie Dalsgaard, Ole L. Dollerup, et al.. (2022). Perception of artificial intelligence-based solutions in healthcare among people with and without diabetes: A cross-sectional survey from the health in Central Denmark cohort. SHILAP Revista de lepidopterología. 9. 100114–100114. 12 indexed citations
11.
Ibfelt, Else Helene, Rasmus Wibæk, Dorte Vistisen, et al.. (2022). Trajectory and predictors of HbA1c in children and adolescents with type 1 diabetes—A Danish nationwide cohort study. Pediatric Diabetes. 23(6). 721–728. 11 indexed citations
12.
Knudsen, Jakob S., Ádám Hulmán, Daniel R. Witte, et al.. (2022). Changes in type 2 diabetes incidence and mortality associated with introduction of HbA1c as diagnostic option: A Danish 24-year population-based study. The Lancet Regional Health - Europe. 14. 100291–100291. 24 indexed citations
13.
Færch, Kristine, Hanan Amadid, Kim Katrine Bjerring Clemmensen, et al.. (2021). Discordance Between Glucose Levels Measured in Interstitial Fluid vs in Venous Plasma After Oral Glucose Administration: A Post-Hoc Analysis From the Randomised Controlled PRE-D Trial. Frontiers in Endocrinology. 12. 753810–753810. 13 indexed citations
14.
Hulmán, Ádám, et al.. (2020). Metformin use and early lactate levels in critically ill patients according to chronic and acute renal impairment. Critical Care. 24(1). 585–585. 6 indexed citations
15.
Hulmán, Ádám, Daniel R. Witte, Dorte Vistisen, et al.. (2018). Pathophysiological Characteristics Underlying Different Glucose Response Curves: A Latent Class Trajectory Analysis From the Prospective EGIR-RISC Study. Diabetes Care. 41(8). 1740–1748. 42 indexed citations
16.
Ramlau‐Hansen, Cecilia Høst, et al.. (2017). Association between coffee or caffeine consumption and fecundity and fertility: a systematic review and dose–response meta-analysis. Clinical Epidemiology. Volume 9. 699–719. 40 indexed citations
17.
18.
Lutsiv, Olha, Ádám Hulmán, Christy Woolcott, et al.. (2017). Examining the provisional guidelines for weight gain in twin pregnancies: a retrospective cohort study. BMC Pregnancy and Childbirth. 17(1). 330–330. 32 indexed citations
19.
László, Anna, et al.. (2014). The use of regression methods for the investigation of trends in suicide rates in Hungary between 1963 and 2011. Social Psychiatry and Psychiatric Epidemiology. 50(2). 249–256. 15 indexed citations
20.
Ikehara, Satoyo, Ádám G. Tabák, Tasnime Akbaraly, et al.. (2014). Age trajectories of glycaemic traits in non-diabetic South Asian and white individuals: the Whitehall II cohort study. Diabetologia. 58(3). 534–542. 33 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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