Frank Meineke

622 citations
21 papers · 340 indexed · h-index 7
Topics
Biomedical Text Mining and Ontologies (7 papers)Scientific Computing and Data Management (6 papers)Electronic Health Records Systems (5 papers)
Journals
SHILAP Revista de lepidopterologíaComputers in Biology and MedicineCell Proliferation

In The Last Decade

Frank Meineke

19 papers receiving 331 citations

Peers

Frank Meineke
Comparison fields: 5 of 94
  • Molecular Biology 127
  • Cell Biology 106
  • Oncology 98
  • Modeling and Simulation 63
  • Biomedical Engineering 52
Replace Richard M. Wasserman with:
Richard M. Wasserman United States
Szymon Stoma Switzerland
Esha T. Shah Australia
Tom Quaiser Germany
Fleur Jeanquartier Austria
Vincent Knight-Schrijver United Kingdom
Joanna Chen United States
Joshua A. Bull United Kingdom
Dieter Maier Spain
Lorenz Adlung Germany
Frank Meineke relative to Richard M. Wasserman United States Richard M. Wasserman's profile →
Citations per field
00.5×10×15×19×
Richard M. Wasserman · 1×
Citations per year

Countries citing papers authored by Frank Meineke

Since Specialization
Citations

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

Fields of papers citing papers by Frank Meineke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Meineke

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Meineke. A scholar is included among the top collaborators of Frank Meineke 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 Frank Meineke. Frank Meineke 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
#WorkIndexed citations
1 0
2 5
3 2
4 0
5 5
6 7
7 2
8 6
9 9
10
Ontological Modelling and Reasoning of Phenotypes.
1
11 4
12 1
13 5
14
Introducing Technical Aspects of Research Data Management in the Leipzig Health Atlas.
5
15 7
16 36
17 27
18 2
19 198
20 15

About Frank Meineke

Frank Meineke is a scholar working on Health Information Management, Information Systems and Management and Otorhinolaryngology, having authored 21 papers that have together received 340 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (7 papers), Scientific Computing and Data Management (6 papers) and Electronic Health Records Systems (5 papers). The work is most often cited by research in Modeling and Simulation (63 citations), Cell Biology (106 citations) and Information Systems and Management (25 citations). Frank Meineke has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Markus Loeffler, Christopher S. Potten, Ralf Hofestädt, Matthias Löbe, Sebastian Stäubert, Gregory Tudor, Catherine Booth, D. Booth, Alfred Winter and Toralf Kirsten. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers in Biology and Medicine and Cell Proliferation.

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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