Daniel L. Weiß

2.1k total citations
64 papers, 1.6k citations indexed

About

Daniel L. Weiß is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Daniel L. Weiß has authored 64 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cardiology and Cardiovascular Medicine, 17 papers in Molecular Biology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Daniel L. Weiß's work include Cardiac electrophysiology and arrhythmias (19 papers), Ion channel regulation and function (10 papers) and ECG Monitoring and Analysis (6 papers). Daniel L. Weiß is often cited by papers focused on Cardiac electrophysiology and arrhythmias (19 papers), Ion channel regulation and function (10 papers) and ECG Monitoring and Analysis (6 papers). Daniel L. Weiß collaborates with scholars based in United States, Germany and Russia. Daniel L. Weiß's co-authors include Gunnar Seemann, Brack A. Bivins, Patrick P. DeLuca, Frank B. Sachse, Olaf Dössel, Motoko Kanke, Ralf Ehricht, Tilman Kottke, Arthur Grossman and Severin Sasso and has published in prestigious journals such as JAMA, Circulation and Journal of Clinical Oncology.

In The Last Decade

Daniel L. Weiß

61 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel L. Weiß United States 21 408 264 181 159 147 64 1.6k
Sameer Mohammad United States 28 693 1.7× 195 0.7× 241 1.3× 94 0.6× 173 1.2× 102 2.2k
Emil Chi United States 22 600 1.5× 85 0.3× 201 1.1× 79 0.5× 189 1.3× 36 2.1k
Hongju Wang China 23 737 1.8× 162 0.6× 119 0.7× 109 0.7× 254 1.7× 79 1.8k
Robert Wilson United States 23 1.3k 3.1× 88 0.3× 474 2.6× 137 0.9× 168 1.1× 57 2.3k
Long Chen China 28 1.0k 2.5× 457 1.7× 104 0.6× 255 1.6× 305 2.1× 186 2.6k
Giorgio Dell’Acqua United States 18 897 2.2× 165 0.6× 93 0.5× 48 0.3× 70 0.5× 27 1.4k
Li Z China 21 907 2.2× 43 0.2× 223 1.2× 76 0.5× 185 1.3× 286 2.0k
Ye Tian China 25 418 1.0× 84 0.3× 210 1.2× 70 0.4× 193 1.3× 139 2.2k
Deepika Jain India 24 279 0.7× 66 0.3× 205 1.1× 54 0.3× 113 0.8× 81 1.4k
Sushil Kumar India 23 540 1.3× 119 0.5× 479 2.6× 197 1.2× 176 1.2× 169 1.9k

Countries citing papers authored by Daniel L. Weiß

Since Specialization
Citations

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

Fields of papers citing papers by Daniel L. Weiß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel L. Weiß. 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 Daniel L. Weiß. The network helps show where Daniel L. Weiß may publish in the future.

Co-authorship network of co-authors of Daniel L. Weiß

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel L. Weiß. A scholar is included among the top collaborators of Daniel L. Weiß 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 Daniel L. Weiß. Daniel L. Weiß 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.
2.
Weiß, Daniel L., et al.. (2023). LSPR‐Based Biosensing Enables the Detection of Antimicrobial Resistance Genes. Small. 19(33). e2207953–e2207953. 9 indexed citations
3.
Makarewicz, Oliwia, et al.. (2023). The Impact of Pseudomonas aeruginosa Infection in Adult Cystic Fibrosis Patients—A Single Polish Centre Study. Pathogens. 12(12). 1440–1440. 3 indexed citations
4.
Hagel, Stefan, Oliwia Makarewicz, Anita Hartung, et al.. (2019). ESBL colonization and acquisition in a hospital population: The molecular epidemiology and transmission of resistance genes. PLoS ONE. 14(1). e0208505–e0208505. 46 indexed citations
5.
Weiß, Daniel L., et al.. (2017). A multiplex real-time PCR for the direct, fast, economic and simultaneous detection of the carbapenemase genes blaKPC, blaNDM, blaVIM and blaOXA-48. Journal of Microbiological Methods. 142. 20–26. 17 indexed citations
6.
Zou, Yong, Severin Sasso, Daniel L. Weiß, et al.. (2017). A Plant Cryptochrome Controls Key Features of the Chlamydomonas Circadian Clock and Its Life Cycle. PLANT PHYSIOLOGY. 174(1). 185–201. 43 indexed citations
7.
8.
Scholz, Eberhard P., Franziska M. Konrad, Daniel L. Weiß, et al.. (2007). Anticholinergic antiparkinson drug orphenadrine inhibits HERG channels: block attenuation by mutations of the pore residues Y652 or F656. Naunyn-Schmiedeberg s Archives of Pharmacology. 376(4). 275–284. 13 indexed citations
9.
Sachse, Frank B., et al.. (2007). A Framework for Modeling of Mechano-Electrical Feedback Mechanisms of Cardiac Myocytes and Tissues. Conference proceedings. 237. 160–163. 3 indexed citations
10.
Seemann, Gunnar, D. U. J. Keller, Daniel L. Weiß, & Olaf Dössel. (2006). Modeling human ventricular geometry and fiber orientation based on diffusion tensor MRI. Computing in Cardiology Conference. 801–804. 14 indexed citations
11.
Dössel, Olaf, Matthias Reumann, Gunnar Seemann, & Daniel L. Weiß. (2006). The missing link between cardiovascular rhythm control and myocardial cell modeling. Biomedizinische Technik/Biomedical Engineering. 51(4). 205–209. 2 indexed citations
12.
Dössel, Olaf, et al.. (2006). Computer-assisted Planning of Cardiac Interventions and Heart Surgery.. GI Jahrestagung (1). 10(15). 499–506. 1 indexed citations
13.
Seemann, Gunnar, Frank B. Sachse, Daniel L. Weiß, Louis J. Ptáček, & Martin Tristani‐Firouzi. (2006). Modeling of IK1 mutations in human left ventricular myocytes and tissue. American Journal of Physiology-Heart and Circulatory Physiology. 292(1). H549–H559. 21 indexed citations
14.
Seemann, Gunnar, et al.. (2005). Influence of electrophysiological heterogeneity on electrical stimulation in healthy and failing human hearts. Medical & Biological Engineering & Computing. 43(6). 783–792. 1 indexed citations
15.
Weiß, Daniel L., Gunnar Seemann, Frank B. Sachse, & Olaf Dössel. (2005). Modelling of short QT syndrome in a heterogeneous model of the human ventricular wall. EP Europace. 7(s2). S105–S117. 23 indexed citations
16.
Seemann, Gunnar, et al.. (2005). Effects of electrophysiological remodeling in human right atrium: a simulation study. 275. 69–72. 2 indexed citations
17.
Dössel, Olaf, Daniel L. Weiß, & Gunnar Seemann. (2004). Conditions for Equal Polarity of R and T Wave in Heterogeneous Human Ventricular Tissue. 4 indexed citations
18.
Seemann, Gunnar, Frank B. Sachse, Daniel L. Weiß, & Olaf Dössel. (2003). Quantitative Reconstruction of Cardiac Electromechanics in Human Myocardium:. Journal of Cardiovascular Electrophysiology. 14(s10). S219–28. 15 indexed citations
19.
Sachse, Frank B., et al.. (2003). Quantitative Reconstruction of Cardiac Electromechanics in Human Myocardium:. Journal of Cardiovascular Electrophysiology. 14(s10). S210–8. 14 indexed citations
20.
McConkey, Samuel, M.R. Williams, Daniel L. Weiß, et al.. (2002). Prospective Use of Molecular Typing of Mycobacterium tuberculosis by Use of Restriction Fragment--Length Polymorphism in a Public Tuberculosis-Control Program. Clinical Infectious Diseases. 34(5). 612–619. 17 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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