Daniel Bauer

491 citations
13 papers · 324 · h-index 8

Impact in

Papers in

Daniel Bauer

12 papers receiving 314 citations

Peers

Daniel Bauer
Comparison fields: 5 of 65
  • Cellular and Molecular Neuroscience 100
  • Psychiatry and Mental health 53
  • Cardiology and Cardiovascular Medicine 74
  • Molecular Biology 195
  • Genetics 37
Replace Alessandro Porro with:
Alessandro Porro Italy
Ming S. Soh Australia
Éva Lörinczi Germany
Alexandra A. Bouza United States
Leo Ng United States
Samrat Thouta Canada
S.V. Ramanan United States
Kathy A. Paschetto United States
Daniel Yakubovich Israel
Peter J. Dosen Australia
Daniel Bauer relative to Alessandro Porro Italy Alessandro Porro's profile →
Citations per field
00.5×1.5×
Alessandro Porro · 1×
Citations per year

Countries citing papers authored by Daniel Bauer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Bauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Bauer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Bauer Line = papers co-authored together Daniel Bauer links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2018102
2 201967
3 202159
4 198133
5 202322
6
HCN1 mutation spectrum: From neonatal epileptic encephalopathy to benign generalized epilepsy and beyond
201813
7 20239
8 20228
9 20206
10 20203
11 20211
12 20241
13 20250

About Daniel Bauer

Daniel Bauer is a scholar working on Molecular Biology, Electrochemistry, Cardiology and Cardiovascular Medicine, Ecological Modeling and Information Systems and Management, having authored 13 papers that have together received 324 indexed citations. Recurring topics across this work include Ion channel regulation and function (9 papers), Cardiac electrophysiology and arrhythmias (3 papers), Electrochemical Analysis and Applications (2 papers), Advanced Memory and Neural Computing (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Research Data Management Practices (1 paper), Pancreatic function and diabetes (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (100 citations), Psychiatry and Mental health (53 citations), Cardiology and Cardiovascular Medicine (74 citations), Molecular Biology (195 citations) and Genetics (37 citations). Daniel Bauer has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include Kay Hamacher, Gerhard Thiel, Anna Moroni, Andrea Saponaro, Sidney Fleischer, Alessandro Porro, Gerardo Abbandonato, A. Scarpa, Bina Santoro and Federica Gasparri. Their work appears in journals such as Channels, BMC Bioinformatics, ZooKeys, The Journal of General Physiology and eLife.

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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