Dina Gaupp

3.1k citations
13 papers · 2.4k indexed · 2 hit papers · h-index 12
Topics
Mesenchymal stem cell research (10 papers)Tissue Engineering and Regenerative Medicine (3 papers)Wound Healing and Treatments (3 papers)

In The Last Decade

Dina Gaupp

13 papers receiving 2.3k citations

Hit Papers

Mesenchymal stem cell engraftment in lung is enhanced in ...2003202620102018200320052505007501000

Peers

Dina Gaupp
Comparison fields: 5 of 84
  • Genetics 1.6k
  • Surgery 857
  • Molecular Biology 599
  • Pulmonary and Respiratory Medicine 590
  • Cellular and Molecular Neuroscience 283
Replace Yoon Sun Yang with:
Yoon Sun Yang South Korea
Soo Jin Choi South Korea
Yasumasa Kuroda Japan
Bruno Delorme France
Debora Giunti Italy
Patrizia Bossolasco Italy
Wonil Oh South Korea
Yo Mabuchi Japan
Roxanne L. Reger United States
Daniel J. Kota United States
Dina Gaupp relative to Yoon Sun Yang South Korea Yoon Sun Yang's profile →
Citations per field
00.5×1.6×
Yoon Sun Yang · 1×
Citations per year

Countries citing papers authored by Dina Gaupp

Since Specialization
Citations

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

Fields of papers citing papers by Dina Gaupp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dina Gaupp

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 41
2 15
3 8
4 47
5 42
6 26
7 34
8 22
9 32
10
Human mesenchymal stem cell subpopulations express a variety of neuro-regulatory molecules and promote neuronal cell survival and neuritogenesisbreakdown →
506
11 97
12
Mesenchymal stem cell engraftment in lung is enhanced in response to bleomycin exposure and ameliorates its fibrotic effectsbreakdown →
1121
13 399

About Dina Gaupp

Dina Gaupp is a scholar working on Genetics, Developmental Neuroscience and Occupational Therapy, having authored 13 papers that have together received 2.4k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (10 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Wound Healing and Treatments (3 papers). The work is most often cited by research in Genetics (1.6k citations), Developmental Neuroscience (251 citations) and Biomaterials (266 citations). Dina Gaupp has collaborated with scholars based in United States, Poland and Canada. Frequent co-authors include Donald G. Phinney, Melody Baddoo, C.E. McBride, Luis A. Ortiz, Naftali Kaminski, Rebecca C. Robey, Catherine E. Hughes, Gene Kopen, Iryna A. Isakova and Maria Dutreil. Their work appears in journals such as Proceedings of the National Academy of Sciences, Stem Cells and Experimental Neurology.

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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