Rafael Schmid

433 total citations
29 papers, 324 citations indexed

About

Rafael Schmid is a scholar working on Biomedical Engineering, Molecular Biology and Oncology. According to data from OpenAlex, Rafael Schmid has authored 29 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 11 papers in Molecular Biology and 10 papers in Oncology. Recurrent topics in Rafael Schmid's work include 3D Printing in Biomedical Research (13 papers), Cancer Cells and Metastasis (8 papers) and Wound Healing and Treatments (7 papers). Rafael Schmid is often cited by papers focused on 3D Printing in Biomedical Research (13 papers), Cancer Cells and Metastasis (8 papers) and Wound Healing and Treatments (7 papers). Rafael Schmid collaborates with scholars based in Germany, Switzerland and China. Rafael Schmid's co-authors include Annika Kengelbach‐Weigand, Raymund E. Horch, Andreas Arkudas, Steven K. Schmidt, Anja‐Katrin Bosserhoff, Anja M. Boos, Dirk W. Schubert, Annika Weigand, Stefan Schrüfer and Rainer Detsch and has published in prestigious journals such as Advanced Functional Materials, Scientific Reports and The FASEB Journal.

In The Last Decade

Rafael Schmid

25 papers receiving 322 citations

Peers

Rafael Schmid
Comparison fields: 5 of 66
  • Biomedical Engineering 160
  • Oncology 89
  • Molecular Biology 86
  • Surgery 66
  • Cell Biology 57
Replace Annika Kengelbach‐Weigand with:
Annika Kengelbach‐Weigand Germany
Linda Stockdale United States
Benjamin A. Juliar United States
Gretel S. Major Australia
Cheng Lyu China
Elizabeth E. Smith United States
Christabella Adine Singapore
Lara A. Estroff United States
Benjamen O’Donnell United States
Luís Freitas Mendes Belgium
Annika Kengelbach‐Weigand Germany View profile →
Citations per field, relative to Rafael Schmid
Rafael Schmid · 1×
Citations per year, relative to Rafael Schmid
Rafael Schmid · 1×

Countries citing papers authored by Rafael Schmid

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafael Schmid

This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Schmid. A scholar is included among the top collaborators of Rafael Schmid 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 Rafael Schmid. Rafael Schmid 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
# Work Indexed citations
1 0
2 4
3 3
4 3
5 0
6 6
7 0
8 9
9 7
10 12
11 10
12 10
13 30
14 12
15 44
16 17
17 9
18 28
19 25
20 9

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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