Annett Keller

719 total citations · 1 hit paper
7 papers, 460 citations indexed

About

Annett Keller is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Oncology. According to data from OpenAlex, Annett Keller has authored 7 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Endocrinology, Diabetes and Metabolism, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Oncology. Recurrent topics in Annett Keller's work include Diabetes Treatment and Management (4 papers), Meta-analysis and systematic reviews (2 papers) and Statistical Methods in Clinical Trials (2 papers). Annett Keller is often cited by papers focused on Diabetes Treatment and Management (4 papers), Meta-analysis and systematic reviews (2 papers) and Statistical Methods in Clinical Trials (2 papers). Annett Keller collaborates with scholars based in United States, Germany and Egypt. Annett Keller's co-authors include Michaela Mattheus, Odd Erik Johansen, Maximilian von Eynatten, Nikolaus Marx, Julio Rosenstock, Thomas Meinicke, Darren K. McGuire, Bernard Zinman, Mark A. Espeland and Steven E. Kahn and has published in prestigious journals such as JAMA, Diabetes Obesity and Metabolism and Archives of Women s Mental Health.

In The Last Decade

Annett Keller

5 papers receiving 448 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Effect of Linagliptin vs Glimepiride on Major Adverse Cardiovascular Outcomes in Patients With Type 2 Diabetes

2019 394 citations Julio Rosenstock, Steven E. Kahn et al. JAMA profile →

Peers

Annett Keller

EDM

MB

SURGE

CCM

ONCOL

Kotoba Okuyama Japan

Nobuichi Kuribayashi Japan

R. Qiu United States

Jennifer Newman United States

Maria Yu United States

M. Rehman France

Oliver Schnell Germany

Lisa Marafetti Italy

Margaret Tiktin United States

Tadeusz Dereziński Poland

Kotoba Okuyama Japan

Annett Keller

352 ×0.9

EDM

160 ×1.3

MB

151 ×1.4

SURGE

16 ×0.2

CCM

136 ×2.0

ONCOL

Citations per year, relative to Annett Keller Annett Keller (= 1×) peers Kotoba Okuyama

Countries citing papers authored by Annett Keller

Since Specialization

Citations

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

Fields of papers citing papers by Annett Keller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annett Keller

This figure shows the co-authorship network connecting the top 25 collaborators of Annett Keller. A scholar is included among the top collaborators of Annett Keller 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 Annett Keller. Annett Keller 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:

7 of 7 papers shown

1.

Keller, Annett, et al.. (2024). Quality Tolerance Limits: A General Guidance for Parameter Selection and Threshold Setting. Therapeutic Innovation & Regulatory Science. 58(3). 423–430.

2.

Keller, Annett, et al.. (2024). An Open-Source R Package for Detection of Adverse Events Under-Reporting in Clinical Trials: Implementation and Validation by the IMPALA (Inter coMPany quALity Analytics) Consortium. Therapeutic Innovation & Regulatory Science. 58(4). 591–599.

3.

Kadowaki, Takashi, Guang Wang, Julio Rosenstock, et al.. (2020). Effect of linagliptin, a dipeptidyl peptidase-4 inhibitor, compared with the sulfonylurea glimepiride on cardiovascular outcomes in Asians with type 2 diabetes: subgroup analysis of the randomized CAROLINA® trial. Diabetology International. 12(1). 87–100. 11 indexed citations

4.

Espeland, Mark A., Richard E. Pratley, Julio Rosenstock, et al.. (2020). Cardiovascular outcomes and safety with linagliptin, a dipeptidyl peptidase‐4 inhibitor, compared with the sulphonylurea glimepiride in older people with type 2 diabetes: A subgroup analysis of the randomized CAROLINA trial. Diabetes Obesity and Metabolism. 23(2). 569–580. 19 indexed citations

5.

Rosenstock, Julio, Steven E. Kahn, Odd Erik Johansen, et al.. (2019). Effect of Linagliptin vs Glimepiride on Major Adverse Cardiovascular Outcomes in Patients With Type 2 Diabetes. JAMA. 322(12). 1155–1155. 394 indexed citations breakdown →

6.

Ledesma, Gilbert, Guillermo E. Umpierrez, John E. Morley, et al.. (2019). Efficacy and safety of linagliptin to improve glucose control in older people with type 2 diabetes on stable insulin therapy: A randomized trial. Diabetes Obesity and Metabolism. 21(11). 2465–2473. 21 indexed citations

7.

Clayton, Anita H., et al.. (2005). Exploratory study of premenstrual symptoms and serotonin variability. Archives of Women s Mental Health. 9(1). 51–57. 15 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