Daniel N. Prater

3.4k citations
15 papers · 2.8k indexed · 1 hit paper · h-index 14

Daniel N. Prater

15 papers receiving 2.7k citations

Hit Papers

Redefining endothelial progenitor cells via clonal analys...1.2k20062026201220192505007501000

Peers

Daniel N. Prater
Comparison fields: 5 of 106
  • Genetics 700
  • Cancer Research 432
  • Molecular Biology 1.9k
  • Biomaterials 278
  • Obstetrics and Gynecology 166
Replace Young-Bae Park with:
Young-Bae Park South Korea
Jamie Case United States
Christopher J. Pastore United States
Laura E. Mead United States
Shigeki Uchida Japan
Jennifer M. Capla United States
Daniel Peixoto Pereira Brazil
Mehmet Oz Türkiye
Mario Peichev United States
Franck Lebrin Netherlands
Daniel N. Prater relative to Young-Bae Park South Korea Young-Bae Park's profile →
Citations per field
00.5×1.5×2.0×
Young-Bae Park · 1×
Citations per year

Countries citing papers authored by Daniel N. Prater

Since Specialization
Citations

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

Fields of papers citing papers by Daniel N. Prater

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel N. Prater. 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 Daniel N. Prater. The network helps show where Daniel N. Prater may publish in the future.

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 202018
2 201123
3 201116
4 20108
5 201061
6 200993
7 2009272
8 200883
9 200894
10 2007226
11 2007412
12 2007134
13
Redefining endothelial progenitor cells via clonal analysis and hematopoietic stem/progenitor cell principalsbreakdown →
20061154
14 200691
15 200368

About Daniel N. Prater

Daniel N. Prater is a scholar working on Genetics, Cell Biology and Molecular Biology, having authored 15 papers that have together received 2.8k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (9 papers), Congenital heart defects research (5 papers), Zebrafish Biomedical Research Applications (4 papers), Mesenchymal stem cell research (3 papers), Lymphatic System and Diseases (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Neonatal Respiratory Health Research (2 papers) and Pregnancy and preeclampsia studies (1 paper). The work is most often cited by research in Genetics (700 citations), Cancer Research (432 citations) and Molecular Biology (1.9k citations). Daniel N. Prater has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include David A. Ingram, Mervin C. Yöder, Laura E. Mead, Constance J. Temm, Josef T. Prchal, Rachel Krasich, Fang Li, Jamie Case, M. Reza Saadatzadeh and Laura S. Haneline. Their work appears in journals such as Pediatric Research, Molecular Imaging and Biology, Blood, Current Protocols in Stem Cell Biology and Stem Cells.

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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