Kai G. Ringwald

1.1k total citations
9 papers, 59 citations indexed

About

Kai G. Ringwald is a scholar working on Pulmonary and Respiratory Medicine, Psychiatry and Mental health and Clinical Psychology. According to data from OpenAlex, Kai G. Ringwald has authored 9 papers receiving a total of 59 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pulmonary and Respiratory Medicine, 3 papers in Psychiatry and Mental health and 2 papers in Clinical Psychology. Recurrent topics in Kai G. Ringwald's work include Advanced Breast Cancer Therapies (3 papers), Functional Brain Connectivity Studies (2 papers) and Schizophrenia research and treatment (2 papers). Kai G. Ringwald is often cited by papers focused on Advanced Breast Cancer Therapies (3 papers), Functional Brain Connectivity Studies (2 papers) and Schizophrenia research and treatment (2 papers). Kai G. Ringwald collaborates with scholars based in Germany and Estonia. Kai G. Ringwald's co-authors include Katharina Thiel, Tina Meller, Susanne Meinert, Udo Dannlowski, Igor Nenadić, Tilo Kircher, Lena Waltemate, Hannah Lemke, Frederike Stein and Axel Krug and has published in prestigious journals such as NeuroImage, Cancer Research and International Journal of Cancer.

In The Last Decade

Kai G. Ringwald

8 papers receiving 59 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai G. Ringwald Germany 5 26 19 17 13 8 9 59
Mary S. Mufford South Africa 7 52 2.0× 26 1.4× 36 2.1× 19 1.5× 6 0.8× 9 133
Arvid Harder Sweden 5 24 0.9× 18 0.9× 15 0.9× 28 2.2× 19 2.4× 12 124
Katharina Thiel Germany 5 28 1.1× 19 1.0× 17 1.0× 13 1.0× 8 1.0× 9 60
Maike Richter Germany 5 23 0.9× 11 0.6× 14 0.8× 10 0.8× 3 0.4× 10 71
Lina Velilla Colombia 7 16 0.6× 19 1.0× 20 1.2× 7 0.5× 1 0.1× 16 94
Sarah Knott United Kingdom 5 13 0.5× 63 3.3× 43 2.5× 17 1.3× 13 1.6× 6 150
Preben Bo Mortensen Denmark 7 24 0.9× 58 3.1× 32 1.9× 9 0.7× 13 1.6× 15 119
Susan Love United States 7 14 0.5× 23 1.2× 13 0.8× 4 0.3× 4 0.5× 11 111
Adriana Fortea Spain 7 24 0.9× 83 4.4× 40 2.4× 12 0.9× 8 1.0× 32 150
Claire Fougerou‐Leurent France 5 18 0.7× 23 1.2× 6 0.4× 16 1.2× 5 0.6× 9 92

Countries citing papers authored by Kai G. Ringwald

Since Specialization
Citations

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

Fields of papers citing papers by Kai G. Ringwald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai G. Ringwald. 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 Kai G. Ringwald. The network helps show where Kai G. Ringwald may publish in the future.

Co-authorship network of co-authors of Kai G. Ringwald

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

All Works

9 of 9 papers shown
2.
Thill, Marc, Anja Welt, Arnd Nusch, et al.. (2024). Head‐to‐head comparison of palbociclib and ribociclib in first‐line treatment of HR‐positive/HER2‐negative metastatic breast cancer with real‐world data from the OPAL registry. International Journal of Cancer. 156(9). 1770–1782. 5 indexed citations
4.
Pfarr, Julia‐Katharina, Tina Meller, Katharina Brosch, et al.. (2023). Data-driven multivariate identification of gyrification patterns in a transdiagnostic patient cohort: A cluster analysis approach. NeuroImage. 281. 120349–120349. 2 indexed citations
5.
Stein, Frederike, Simon Schmitt, Katharina Brosch, et al.. (2022). State of illness-dependent associations of neuro-cognition and psychopathological syndromes in a large transdiagnostic cohort. Journal of Affective Disorders. 324. 589–599. 5 indexed citations
6.
Schmitt, Simon, Kai G. Ringwald, Tina Meller, et al.. (2022). Associations of gestational age with gyrification and neurocognition in healthy adults. European Archives of Psychiatry and Clinical Neuroscience. 273(2). 467–479. 4 indexed citations
7.
Ringwald, Kai G., Julia‐Katharina Pfarr, Frederike Stein, et al.. (2022). Association between stressful life events and grey matter volume in the medial prefrontal cortex: A 2‐year longitudinal study. Human Brain Mapping. 43(11). 3577–3584. 11 indexed citations
8.
Brosch, Katharina, Tina Meller, Julia‐Katharina Pfarr, et al.. (2021). Which traits predict elevated distress during the Covid-19 pandemic? Results from a large, longitudinal cohort study with psychiatric patients and healthy controls. Journal of Affective Disorders. 297. 18–25. 9 indexed citations
9.
Stein, Frederike, Tina Meller, Katharina Brosch, et al.. (2021). Psychopathological Syndromes Across Affective and Psychotic Disorders Correlate With Gray Matter Volumes. Schizophrenia Bulletin. 47(6). 1740–1750. 20 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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