Deborah Philp

1.7k total citations
22 papers, 1.4k citations indexed

About

Deborah Philp is a scholar working on Cell Biology, Immunology and Molecular Biology. According to data from OpenAlex, Deborah Philp has authored 22 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cell Biology, 7 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in Deborah Philp's work include Cellular Mechanics and Interactions (7 papers), Wound Healing and Treatments (4 papers) and Immune Cell Function and Interaction (4 papers). Deborah Philp is often cited by papers focused on Cellular Mechanics and Interactions (7 papers), Wound Healing and Treatments (4 papers) and Immune Cell Function and Interaction (4 papers). Deborah Philp collaborates with scholars based in United States, South Korea and Japan. Deborah Philp's co-authors include Hynda K. Kleinman, Matthew P. Hoffman, Allan L. Goldstein, Michael Elkin, Wendy Fitzgerald, Leonid Margolis, Yong Song Gho, Ewald Hannappel, Thomas Huff and J. Guyden and has published in prestigious journals such as Oncogene, The FASEB Journal and Annals of the New York Academy of Sciences.

In The Last Decade

Deborah Philp

22 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deborah Philp United States 18 516 511 336 252 247 22 1.4k
Stephanie Moeller Germany 24 548 1.1× 600 1.2× 436 1.3× 206 0.8× 457 1.9× 36 1.6k
Tianshun Xu United States 10 638 1.2× 526 1.0× 194 0.6× 319 1.3× 229 0.9× 13 1.8k
Ana M. Schor United Kingdom 25 903 1.8× 446 0.9× 153 0.5× 191 0.8× 120 0.5× 47 1.9k
Erik Hedbom Switzerland 20 731 1.4× 792 1.5× 215 0.6× 353 1.4× 209 0.8× 26 2.4k
Purva Singh United States 10 445 0.9× 336 0.7× 176 0.5× 216 0.9× 161 0.7× 19 1.3k
Guanqing Ou United States 7 531 1.0× 643 1.3× 520 1.5× 231 0.9× 317 1.3× 7 1.7k
Shiwen Zhang China 22 893 1.7× 404 0.8× 332 1.0× 194 0.8× 155 0.6× 59 1.9k
Bojun Li China 15 410 0.8× 732 1.4× 811 2.4× 274 1.1× 296 1.2× 67 1.9k
Heinz Hausser Germany 20 795 1.5× 874 1.7× 141 0.4× 143 0.6× 97 0.4× 26 1.6k
Shawn M. Sweeney United States 11 691 1.3× 358 0.7× 198 0.6× 188 0.7× 443 1.8× 16 1.8k

Countries citing papers authored by Deborah Philp

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Philp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deborah Philp

This figure shows the co-authorship network connecting the top 25 collaborators of Deborah Philp. A scholar is included among the top collaborators of Deborah Philp 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 Deborah Philp. Deborah Philp 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
1.
Philp, Deborah & Hynda K. Kleinman. (2010). Animal studies with thymosin β4, a multifunctional tissue repair and regeneration peptide. Annals of the New York Academy of Sciences. 1194(1). 81–86. 44 indexed citations
2.
Cha, Hee‐Jae, Deborah Philp, Soo‐Hyun Lee, et al.. (2009). Over-expression of thymosin beta4 promotes abnormal tooth development and stimulation of hair growth. The International Journal of Developmental Biology. 54(1). 135–140. 31 indexed citations
3.
Mochizuki, Mayumi, Deborah Philp, Kentaro Hozumi, et al.. (2007). Angiogenic activitiy of syndecan-binding laminin peptide AG73 (RKRLQVQLSIRT). Archives of Biochemistry and Biophysics. 459(2). 249–255. 46 indexed citations
4.
Mochizuki, Mayumi, Deborah Philp, Kentaro Hozumi, et al.. (2007). Integrin‐dependent cell behavior on ECM peptide‐conjugated chitosan membranes. Biopolymers. 88(2). 122–130. 34 indexed citations
5.
Philp, Deborah, et al.. (2007). Thymosin Beta 4 Induces Hair Growth via Stem Cell Migration and Differentiation. Annals of the New York Academy of Sciences. 1112(1). 95–103. 49 indexed citations
6.
Philp, Deborah, Yuji Hatakeyama, Naoto Haruyama, et al.. (2006). Amelogenin-mediated Regulation of Osteoclastogenesis, and Periodontal Cell Proliferation and Migration. Journal of Dental Research. 85(2). 144–149. 51 indexed citations
7.
Philp, Deborah, et al.. (2006). Thymosin β4 promotes matrix metalloproteinase expression during wound repair. Journal of Cellular Physiology. 208(1). 195–200. 54 indexed citations
8.
Zcharia, Eyal, Deborah Philp, Evgeny Edovitsky, et al.. (2005). Heparanase Regulates Murine Hair Growth. American Journal Of Pathology. 166(4). 999–1008. 44 indexed citations
9.
Devadas, Krishnakumar, Robert A. Boykins, Neil J. Hardegen, et al.. (2005). Selective side-chain modification of cysteine and arginine residues blocks pathogenic activity of HIV-1-Tat functional peptides. Peptides. 27(4). 611–621. 4 indexed citations
10.
Calvo, Alfonso, Jeffrey A. Stafford, Mui Cheung, et al.. (2004). Inhibition of VEGF receptors significantly impairs mammary cancer growth in C3(1)/Tag transgenic mice through antiangiogenic and non-antiangiogenic mechanisms. Oncogene. 24(5). 790–800. 38 indexed citations
11.
Kleinman, Hynda K., Deborah Philp, & Matthew P. Hoffman. (2003). Role of the extracellular matrix in morphogenesis. Current Opinion in Biotechnology. 14(5). 526–532. 356 indexed citations
12.
Philp, Deborah, et al.. (2003). Thymosin β4 and a synthetic peptide containing its actin‐binding domain promote dermal wound repair in db/db diabetic mice and in aged mice. Wound Repair and Regeneration. 11(1). 19–24. 100 indexed citations
13.
Philp, Deborah, Allan L. Goldstein, & Hynda K. Kleinman. (2003). Thymosin β4 promotes angiogenesis, wound healing, and hair follicle development. Mechanisms of Ageing and Development. 125(2). 113–115. 102 indexed citations
14.
Philp, Deborah, et al.. (2003). Thymosin β 4 increases hair growth by activation of hair follicle stem cells. The FASEB Journal. 18(2). 1–16. 92 indexed citations
15.
Philp, Deborah, et al.. (1999). Lysosomal-Mediated Degradation of Apoptotic Thymocytes within Thymic Nurse Cells. Cellular Immunology. 197(2). 108–115. 17 indexed citations
16.
Pezzano, Mark, Deborah Philp, Adebowale Adeyemi, et al.. (1998). A Thymic Nurse Cell-Specific Monoclonal Antibody. Cellular Immunology. 185(2). 123–133. 15 indexed citations
17.
Pezzano, Mark, et al.. (1996). Positive Selection by Thymic Nurse Cells Requires IL-1β and Is Associated with an Increased Bcl-2 Expression. Cellular Immunology. 169(2). 174–184. 20 indexed citations
18.
Pezzano, Mark, Yang Li, Deborah Philp, et al.. (1995). Thymic nurse cell rescue of early CD4+CD8+ thymocytes from apoptosis.. PubMed. 41(8). 1099–111. 17 indexed citations
19.
Philp, Deborah, Mark Pezzano, Yang Li, et al.. (1993). The Binding, Internalization, and Release of Thymocytes by Thymic Nurse Cells. Cellular Immunology. 148(2). 301–315. 20 indexed citations
20.
Li, Yang, et al.. (1992). Thymic nurse cells exclusively bind and internalize CD4+CD8+ thymocytes. Cellular Immunology. 140(2). 495–506. 28 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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