R. Schreiber

2.1k total citations · 1 hit paper
18 papers, 1.7k citations indexed

About

R. Schreiber is a scholar working on Surgery, Genetics and Biomaterials. According to data from OpenAlex, R. Schreiber has authored 18 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 6 papers in Genetics and 6 papers in Biomaterials. Recurrent topics in R. Schreiber's work include Mesenchymal stem cell research (5 papers), Tissue Engineering and Regenerative Medicine (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). R. Schreiber is often cited by papers focused on Mesenchymal stem cell research (5 papers), Tissue Engineering and Regenerative Medicine (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). R. Schreiber collaborates with scholars based in United States and United Kingdom. R. Schreiber's co-authors include John K. Fraser, Marc H. Hedrick, Min Zhu, Brian M. Strem, Zeni Alfonso, Isabella H. Wulur, Kevin C. Hicok, Gary Bokoch, Eric R. Prossnitz and Hai-Chien Kuo and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Spine.

In The Last Decade

R. Schreiber

18 papers receiving 1.6k citations

Hit Papers

Multipotential differentiation of adipose tissue-derived ... 2005 2026 2012 2019 2005 200 400 600

Peers

R. Schreiber
Comparison fields: 5 of 82
  • Genetics 985
  • Surgery 839
  • Molecular Biology 470
  • Biomaterials 396
  • Rheumatology 184
Replace Brian M. Strem with:
Brian M. Strem United States
Isabella H. Wulur United States
Sabine Boxberger Germany
Alejandro Erices Chile
Dina Gaupp United States
Yoon Sun Yang South Korea
Hye Jin Jin South Korea
Soo Jin Choi South Korea
Dawn M. Franklin United States
Lucas G. Chase United States
Brian M. Strem United States View profile →
Citations per field, relative to R. Schreiber
R. Schreiber · 1×
Citations per year, relative to R. Schreiber
R. Schreiber · 1×

Countries citing papers authored by R. Schreiber

Since Specialization
Citations

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

Fields of papers citing papers by R. Schreiber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Schreiber

This figure shows the co-authorship network connecting the top 25 collaborators of R. Schreiber. A scholar is included among the top collaborators of R. Schreiber 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 R. Schreiber. R. Schreiber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 224
2 1
3 129
4 113
5
Multipotential differentiation of adipose tissue-derived stem cells breakdown →
739
6 60
7 63
8 18
9 4
10 37
11 71
12 43
13 64
14 18
15 39
16 4
17 8
18 31

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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