Helle Lynggaard

1.2k total citations
8 papers, 186 citations indexed

About

Helle Lynggaard is a scholar working on Economics and Econometrics, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Helle Lynggaard has authored 8 papers receiving a total of 186 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Economics and Econometrics, 5 papers in Statistics and Probability and 2 papers in Molecular Biology. Recurrent topics in Helle Lynggaard's work include Statistical Methods in Clinical Trials (5 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers) and Meta-analysis and systematic reviews (2 papers). Helle Lynggaard is often cited by papers focused on Statistical Methods in Clinical Trials (5 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers) and Meta-analysis and systematic reviews (2 papers). Helle Lynggaard collaborates with scholars based in Denmark, United Kingdom and Germany. Helle Lynggaard's co-authors include Michael Thomsen, Jacob Råstam, A. Dejgaard, Andreas Liebl, Mona Landin‐Olsson, C Le Dévéhat, Ulrik Mouritzen, Robert J. Ligthelm, Casey Fox and David Wright and has published in prestigious journals such as Diabetologia, BMC Medicine and British Journal of Clinical Pharmacology.

In The Last Decade

Helle Lynggaard

8 papers receiving 172 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Helle Lynggaard Denmark	5	124	80	53	30	22	8	186
Katherine Young United Kingdom	7	52 0.4×	46 0.6×	23 0.4×	9 0.3×	13 0.6×	24	176
Catherine Hajek United States	7	13 0.1×	28 0.3×	19 0.4×	10 0.3×	7 0.3×	22	160
Maria Helane Costa Gurgel Castelo Brazil	8	60 0.5×	41 0.5×	61 1.2×		8 0.4×	18	141
Yasmin H. Hamid Denmark	7	31 0.3×	54 0.7×	26 0.5×		19 0.9×	10	200
Y. Inukai Japan	7	45 0.4×	17 0.2×	20 0.4×	2 0.1×	15 0.7×	9	102
Adam Suhy United States	5	15 0.1×	52 0.7×	24 0.5×		18 0.8×	6	106
Eva Molero Spain	6	26 0.2×	49 0.6×	2 0.0×	5 0.2×	5 0.2×	10	137
Lisa Ludwig United States	5	36 0.3×	19 0.2×	3 0.1×	4 0.1×	19 0.9×	9	79
Maurício Teruo Tada Brazil	6	42 0.3×	17 0.2×	89 1.7×		3 0.1×	10	123
Priya Kundra United States	4	118 1.0×	39 0.5×	12 0.2×		28 1.3×	4	150

Countries citing papers authored by Helle Lynggaard

Since Specialization

Citations

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

Fields of papers citing papers by Helle Lynggaard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helle Lynggaard

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Lynggaard, Helle, et al.. (2024). Applying the Estimand Framework to Non‐Inferiority Trials. Pharmaceutical Statistics. 23(6). 1156–1165. 2 indexed citations

2.

Lynggaard, Helle, et al.. (2024). Applying the estimand framework to clinical pharmacology trials with a case study in bioequivalence. British Journal of Clinical Pharmacology. 91(2). 310–324. 2 indexed citations

3.

Keene, Oliver N., et al.. (2023). Why estimands are needed to define treatment effects in clinical trials. BMC Medicine. 21(1). 276–276. 15 indexed citations

4.

Hefting, Nanco, et al.. (2022). Marking 2-Years of New Thinking in Clinical Trials: The Estimand Journey. Therapeutic Innovation & Regulatory Science. 56(4). 637–650. 15 indexed citations

5.

Lynggaard, Helle, et al.. (2022). Principles and recommendations for incorporating estimands into clinical study protocol templates. Trials. 23(1). 685–685. 9 indexed citations

6.

Gao, Yan, et al.. (2014). The SimpleMix study with biphasic insulin aspart 30: a randomized controlled trial investigating patient-driven titration versus investigator-driven titration. Current Medical Research and Opinion. 30(12). 2483–2492. 4 indexed citations

7.

Dejgaard, A., Helle Lynggaard, Jacob Råstam, & Michael Thomsen. (2009). No evidence of increased risk of malignancies in patients with diabetes treated with insulin detemir: a meta-analysis. Diabetologia. 52(12). 2507–2512. 89 indexed citations

8.

Ligthelm, Robert J., Ulrik Mouritzen, Helle Lynggaard, et al.. (2006). Biphasic Insulin Aspart Given Thrice Daily is as Efficacious as a Basal-Bolus Insulin Regimen with Four Daily Injections. Experimental and Clinical Endocrinology & Diabetes. 114(9). 511–519. 50 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.

Explore authors with similar magnitude of impact