Pia Erdmann

519 citations
16 papers · 172 · h-index 8

Impact in

Papers in

Pia Erdmann

16 papers receiving 163 citations

Peers

Pia Erdmann
Comparison fields: 5 of 53
  • Health Informatics 18
  • Radiology, Nuclear Medicine and Imaging 41
  • Public Health, Environmental and Occupational Health 49
  • General Health Professions 42
  • Psychiatry and Mental health 20
Replace Martin Langanke with:
Martin Langanke Germany
Abhijoy Saha United States
Anne Xuan-Lan Nguyen Canada
Andrew Taylor United States
Logan Briggs United States
Neeraj Chhabra United States
Arpita Jaiswal India
Leonardo Bonisson Ribeiro Brazil
Melissa K. Sharp United Kingdom
Vivian Hsiao United States
Pia Erdmann relative to Martin Langanke Germany Martin Langanke's profile →
Citations per field
00.5×3.3×
Martin Langanke · 1×
Citations per year

Countries citing papers authored by Pia Erdmann

Since Specialization
Citations

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

Fields of papers citing papers by Pia Erdmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201258
2 201620
3 201619
4 201914
5 201113
6 20139
7 20139
8
Ethical and legal issues when dealing with genetic incidental findings—challenges and possible solutions
20148
9 20177
10 20154
11 20153
12 20163
13 20122
14
Incidental Findings - Understanding of Risks by Research Subjects and Implications for Research Ethics
20131
15 20121
16 20131

About Pia Erdmann

Pia Erdmann is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health, Sociology and Political Science, Pediatrics, Perinatology and Child Health and Artificial Intelligence, having authored 16 papers that have together received 172 indexed citations. Recurring topics across this work include Ethics in Clinical Research (5 papers), Risk Perception and Management (3 papers), Health and Medical Studies (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Healthcare cost, quality, practices (2 papers), Dementia and Cognitive Impairment Research (2 papers), Genomics and Rare Diseases (2 papers) and Radiation Dose and Imaging (2 papers). The work is most often cited by research in Health Informatics (18 citations), Radiology, Nuclear Medicine and Imaging (41 citations), Public Health, Environmental and Occupational Health (49 citations), General Health Professions (42 citations) and Psychiatry and Mental health (20 citations). Pia Erdmann has collaborated with scholars based in Germany and United States. Frequent co-authors include Martin Langanke, Kyle B. Brothers, Henry Völzke, Hans J. Grabe, Reiner Biffar, Thomas Kohlmann, Tobias Fischer, Ralf Puls, Katrin Hegenscheid and Carsten Oliver Schmidt. Their work appears in journals such as European Radiology, Pharmacogenomics, BMC Medical Ethics, Health & Social Care in the Community and Current Alzheimer Research.

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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