Beate Ehrhardt

16 papers receiving 776 citations

Beate Ehrhardt's Hit Papers

A reference map of potential determinants for the human serum metabolome 2020 · 331 citations
3310+2+4Years since publication100200300

Peers

Beate Ehrhardt
Comparison fields: 5 of 114
  • Health Informatics 21
  • Endocrinology, Diabetes and Metabolism 118
  • Biological Psychiatry 14
  • Molecular Biology 329
  • Physiology 99
Replace Jonathan Adam with:
Jonathan Adam Germany
Alison J. Heggie United Kingdom
Nathalie de Préville France
Maria Klintenberg Sweden
Christiane Dings Germany
Tania Baltauss United Kingdom
Donna McEvoy United Kingdom
Matilda Dale Sweden
Ian McVittie United Kingdom
Agnete Troen Lundgaard Denmark
Beate Ehrhardt relative to Jonathan Adam Germany Jonathan Adam's profile →
Citations per field
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Jonathan Adam · 1×
Citations per year

Countries citing papers authored by Beate Ehrhardt

Since Specialization
Citations

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

Fields of papers citing papers by Beate Ehrhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1
A reference map of potential determinants for the human serum metabolome
Hit paper breakdown →
2020331
2 201987
3 202282
4 202382
5 201953
6 202235
7 202130
8 202023
9 201921
10 202316
11 201913
12 201911
13 20195
14 20234
15 20251
16 20241
17 20220
18 20260

About Beate Ehrhardt

Beate Ehrhardt is a scholar working on Endocrinology, Diabetes and Metabolism, Anesthesiology and Pain Medicine, Pharmacology, Health Informatics and Public Administration, having authored 18 papers that have together received 795 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Pain Management and Opioid Use (2 papers), Musculoskeletal pain and rehabilitation (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Genetic Associations and Epidemiology (2 papers), Pancreatic function and diabetes (1 paper) and Gender Politics and Representation (1 paper). The work is most often cited by research in Health Informatics (21 citations), Endocrinology, Diabetes and Metabolism (118 citations), Biological Psychiatry (14 citations), Molecular Biology (329 citations) and Physiology (99 citations). Beate Ehrhardt has collaborated with scholars based in United Kingdom, Denmark and Sweden. Frequent co-authors include Pedro Caetano-Pinto, Jonathan E. Rubins, Débora Barreiros Petrópolis, Lorna C. Ewart, Adam M. Corrigan, Samantha E. Peel, Kyung‐Jin Jang, Janey Ronxhi, Alison J. Foster and Dominic P. Williams. Their work appears in journals such as Diabetes Care, SIAM Review, Journal of Legislative Studies, Journal of Pain and Diabetes.

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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