Daniel N. Prater

3.4k total citations · 1 hit paper
15 papers, 2.8k citations indexed

About

Daniel N. Prater is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Daniel N. Prater has authored 15 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Cell Biology. Recurrent topics in Daniel N. Prater's work include Angiogenesis and VEGF in Cancer (9 papers), Congenital heart defects research (5 papers) and Zebrafish Biomedical Research Applications (4 papers). Daniel N. Prater is often cited by papers focused on Angiogenesis and VEGF in Cancer (9 papers), Congenital heart defects research (5 papers) and Zebrafish Biomedical Research Applications (4 papers). Daniel N. Prater collaborates with scholars based in United States, Italy and United Kingdom. Daniel N. Prater's co-authors include David A. Ingram, Mervin C. Yöder, Laura E. Mead, Fang Li, Rachel Krasich, Constance J. Temm, Josef T. Prchal, Jamie Case, M. Reza Saadatzadeh and Laura S. Haneline and has published in prestigious journals such as Blood, Circulation Research and Diabetes.

In The Last Decade

Daniel N. Prater

15 papers receiving 2.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Redefining endothelial progenitor cells via clonal analysis and hematopoietic stem/progenitor cell principals

2006 1.2k citations Mervin C. Yöder, Laura E. Mead et al. Blood profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel N. Prater United States	14	1.9k	700	556	464	432	15	2.8k
Anna Solovey United States	23	1.9k 1.0×	1.3k 1.8×	482 0.9×	508 1.1×	424 1.0×	40	3.6k
Young-Bae Park South Korea	32	2.4k 1.3×	622 0.9×	1.0k 1.8×	504 1.1×	519 1.2×	71	4.1k
Errol S. Wijelath United States	21	1.8k 1.0×	495 0.7×	619 1.1×	516 1.1×	519 1.2×	37	2.9k
Christopher J. Pastore United States	6	2.3k 1.2×	681 1.0×	955 1.7×	514 1.1×	643 1.5×	11	3.3k
Hyo-Soo Kim South Korea	25	1.4k 0.8×	509 0.7×	651 1.2×	305 0.7×	333 0.8×	56	2.7k
Jeffrey M. Isner United States	11	1.7k 0.9×	536 0.8×	788 1.4×	420 0.9×	414 1.0×	11	2.5k
Balkrishna Jahagirdar United States	13	1.2k 0.6×	854 1.2×	613 1.1×	821 1.8×	350 0.8×	22	2.5k
Shigeki Uchida Japan	11	1.9k 1.0×	803 1.1×	1.1k 2.1×	447 1.0×	505 1.2×	15	3.0k
Mark E. Kleinman United States	16	1.6k 0.9×	685 1.0×	675 1.2×	702 1.5×	733 1.7×	31	3.3k
Jamie Case United States	21	1.3k 0.7×	430 0.6×	439 0.8×	373 0.8×	314 0.7×	63	2.2k

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 of co-authors of Daniel N. Prater

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

All Works

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15 of 15 papers shown

Roy, Sashwati, Chandan K. Sen, Subhadip Ghatak, et al.. (2020). Neurogenic tissue nanotransfection in the management of cutaneous diabetic polyneuropathy. Nanomedicine Nanotechnology Biology and Medicine. 28. 102220–102220. 18 indexed citations

Tarantal, Alice F., et al.. (2011). Radiolabeling and In Vivo Imaging of Transplanted Renal Lineages Differentiated from Human Embryonic Stem Cells in Fetal Rhesus Monkeys. Molecular Imaging and Biology. 14(2). 197–204. 16 indexed citations

Huang, Lan, Paul J. Critser, Pingyu Zeng, et al.. (2011). Changes in the frequency and in vivo vessel-forming ability of rhesus monkey circulating endothelial colony–forming cells across the lifespan (birth to aged). Pediatric Research. 71(2). 156–161. 23 indexed citations

Estes, Myka L., Julie A. Mund, Laura E. Mead, et al.. (2010). Application of polychromatic flow cytometry to identify novel subsets of circulating cells with angiogenic potential. Cytometry Part A. 77A(9). 831–839. 61 indexed citations

Mead, Laura E., et al.. (2010). Endothelial colony-forming cells and mesenchymal stem cells from ECMO circuits of term infants. Journal of Perinatology. 30(11). 724–730. 8 indexed citations

Zhang, Yanmin, David A. Ingram, Michael P. Murphy, et al.. (2009). Release of proinflammatory mediators and expression of proinflammatory adhesion molecules by endothelial progenitor cells. American Journal of Physiology-Heart and Circulatory Physiology. 296(5). H1675–H1682. 93 indexed citations

Traktuev, Dmitry O., Daniel N. Prater, Stephanie Merfeld‐Clauss, et al.. (2009). Robust Functional Vascular Network Formation In Vivo by Cooperation of Adipose Progenitor and Endothelial Cells. Circulation Research. 104(12). 1410–1420. 272 indexed citations

Mead, Laura E., Daniel N. Prater, Waylan Bessler, et al.. (2008). Endothelial Colony Forming Cells and Mesenchymal Stem Cells are Enriched at Different Gestational Ages in Human Umbilical Cord Blood. Pediatric Research. 64(1). 68–73. 83 indexed citations

Mead, Laura E., Daniel N. Prater, Mervin C. Yöder, & David A. Ingram. (2008). Isolation and Characterization of Endothelial Progenitor Cells from Human Blood. Current Protocols in Stem Cell Biology. 6(1). Unit 2C.1–Unit 2C.1. 94 indexed citations

10.

Case, Jamie, Laura E. Mead, Waylan Bessler, et al.. (2007). Human CD34+AC133+VEGFR-2+ cells are not endothelial progenitor cells but distinct, primitive hematopoietic progenitors. Experimental Hematology. 35(7). 1109–1118. 412 indexed citations

11.

Prater, Daniel N., Jamie Case, D A Ingram, & Mervin C. Yöder. (2007). Working hypothesis to redefine endothelial progenitor cells. Leukemia. 21(6). 1141–1149. 226 indexed citations

12.

Ingram, David A., Laura E. Mead, Myka L. Estes, et al.. (2007). In Vitro Hyperglycemia or a Diabetic Intrauterine Environment Reduces Neonatal Endothelial Colony-Forming Cell Numbers and Function. Diabetes. 57(3). 724–731. 134 indexed citations

13.

Ingram, David A., Laura E. Mead, Colleen McGuire, et al.. (2006). Clonogenic Endothelial Progenitor Cells Are Sensitive to Oxidative Stress. Stem Cells. 25(2). 297–304. 91 indexed citations

14.

Yöder, Mervin C., Laura E. Mead, Daniel N. Prater, et al.. (2006). Redefining endothelial progenitor cells via clonal analysis and hematopoietic stem/progenitor cell principals. Blood. 109(5). 1801–1809. 1154 indexed citations breakdown →

15.

Prater, Daniel N. & John Rusek. (2003). Energy density of a methanol/hydrogen-peroxide fuel cell. Applied Energy. 74(1-2). 135–140. 68 indexed citations

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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