T. Bittner

442 total citations
2 papers, 17 citations indexed

About

T. Bittner is a scholar working on Molecular Biology, Rheumatology and Physiology. According to data from OpenAlex, T. Bittner has authored 2 papers receiving a total of 17 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Rheumatology and 1 paper in Physiology. Recurrent topics in T. Bittner's work include Alzheimer's disease research and treatments (1 paper), GDF15 and Related Biomarkers (1 paper) and Statistical Methods in Clinical Trials (1 paper). T. Bittner is often cited by papers focused on Alzheimer's disease research and treatments (1 paper), GDF15 and Related Biomarkers (1 paper) and Statistical Methods in Clinical Trials (1 paper). T. Bittner collaborates with scholars based in Switzerland, Germany and United Kingdom. T. Bittner's co-authors include Christina Rabe, Hiroko Shimizu, Oskar Hansson, Joel B. Braunstein, Thomas Duning, Dennis J. Selkoe, Howard Fillit, Davide Angioni, Colin L. Masters and S. Gauthier and has published in prestigious journals such as Clinical Neurophysiology and The Journal of Prevention of Alzheimer s Disease.

In The Last Decade

T. Bittner

2 papers receiving 17 citations

Peers

T. Bittner
Ronald Petersen United States
Christine Thai Australia
Bill Reddy United States
Weiwei Hu China
Patricio Chrem Argentina
Richard Holub United States
Theresa Heath United Kingdom
Sasidhar Gunturu United States
Ronald Petersen United States
T. Bittner
Citations per year, relative to T. Bittner T. Bittner (= 1×) peers Ronald Petersen

Countries citing papers authored by T. Bittner

Since Specialization
Citations

This map shows the geographic impact of T. Bittner'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 T. Bittner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Bittner more than expected).

Fields of papers citing papers by T. Bittner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Bittner

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

All Works

2 of 2 papers shown
1.
Angioni, Davide, Oskar Hansson, Christina Rabe, et al.. (2023). Can We Use Blood Biomarkers as Entry Criteria and for Monitoring Drug Treatment Effects in Clinical Trials? A Report from the EU/US CTAD Task Force. The Journal of Prevention of Alzheimer s Disease. 10(3). 418–425. 13 indexed citations
2.
Bittner, T., Thomas Duning, Christina Rabe, et al.. (2020). P32 Phase III studies of crenezumab in early (prodromal-to-mild) Alzheimers disease (CREAD/CREAD2): Biomarker results. Clinical Neurophysiology. 131(4). e194–e195. 4 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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