Hannah Huth

408 citations
18 papers · 299 · h-index 7

Impact in

Papers in

Hannah Huth

15 papers receiving 283 citations

Peers

Hannah Huth
Comparison fields: 5 of 75
  • Cellular and Molecular Neuroscience 198
  • Health Information Management 22
  • Behavioral Neuroscience 16
  • Medical Laboratory Technology 6
  • Health Informatics 4
Replace Seyit Ankaralı with:
Seyit Ankaralı Türkiye
Jeremy L. Johnson United States
Luís Rafael Leite Sampaio Brazil
Danika C.A. Lyons Canada
Vera C. Campbell United States
Federico Baruffaldi United States
Heidi L. Erickson United States
Ken–ichiro Hayashida Japan
Kelly Smart Canada
Krishnakanth Kondabolu United States
Hannah Huth relative to Seyit Ankaralı Türkiye Seyit Ankaralı's profile →
Citations per field
00.5×7.3×
Seyit Ankaralı · 1×
Citations per year

Countries citing papers authored by Hannah Huth

Since Specialization
Citations

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

Fields of papers citing papers by Hannah Huth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hannah Huth, 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 Hannah Huth Line = papers co-authored together Hannah Huth links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1980112
2 1981111
3 202017
4 202116
5 20169
6 20209
7 20208
8 20254
9 20084
10 20203
11 20242
12 20201
13 20241
14 20241
15 20061
16 20250
17 20250
18 20250

About Hannah Huth

Hannah Huth is a scholar working on Health Information Management, Surgery, Public Health, Environmental and Occupational Health, Emergency Medical Services and Molecular Biology, having authored 18 papers that have together received 299 indexed citations. Recurring topics across this work include Electronic Health Records Systems (5 papers), Healthcare Technology and Patient Monitoring (3 papers), Patient Safety and Medication Errors (3 papers), Artificial Intelligence in Healthcare and Education (2 papers), Receptor Mechanisms and Signaling (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Music and Audio Processing (2 papers) and Digital Imaging in Medicine (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (198 citations), Health Information Management (22 citations), Behavioral Neuroscience (16 citations), Medical Laboratory Technology (6 citations) and Health Informatics (4 citations). Hannah Huth has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include M. G�thert, Eberhard Schlicker, M. G�thert, Eric S. Kirkendall, Kristen Timmons, Kristin Melton, Gretchen Purcell Jackson, Jamie R. Robinson, Kathleen E. Walsh and Thomas D. Sequist. Their work appears in journals such as Naunyn-Schmiedeberg s Archives of Pharmacology, Journal of Vascular and Interventional Radiology, Scientific Reports, Drug Safety and npj Digital Medicine.

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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