David B. Lipshutz

887 total citations
8 papers, 542 citations indexed

About

David B. Lipshutz is a scholar working on Oncology, Molecular Biology and Physiology. According to data from OpenAlex, David B. Lipshutz has authored 8 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Molecular Biology and 3 papers in Physiology. Recurrent topics in David B. Lipshutz's work include Bone health and treatments (2 papers), Immune Response and Inflammation (2 papers) and Phytochemicals and Antioxidant Activities (1 paper). David B. Lipshutz is often cited by papers focused on Bone health and treatments (2 papers), Immune Response and Inflammation (2 papers) and Phytochemicals and Antioxidant Activities (1 paper). David B. Lipshutz collaborates with scholars based in United States, United Kingdom and Belgium. David B. Lipshutz's co-authors include Uma Prabhakar, Bartholomew J. Votta, Sanjay Kumar, Holly A. Leddy, Suk‐Hee Lee, Wolfgang Liedtke, Farshid Guilak, Dana S. Levy, John C. Lee and Klaus Esser and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Pharmacology and Calcified Tissue International.

In The Last Decade

David B. Lipshutz

8 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David B. Lipshutz United States 7 296 105 95 80 62 8 542
Anita Terse United States 12 265 0.9× 123 1.2× 140 1.5× 58 0.7× 26 0.4× 17 548
Linda Nocchi Italy 13 325 1.1× 146 1.4× 76 0.8× 50 0.6× 67 1.1× 26 729
Olugbenga A. Adebanjo United States 19 599 2.0× 92 0.9× 55 0.6× 73 0.9× 56 0.9× 28 957
Yu‐Mi Yang South Korea 12 376 1.3× 86 0.8× 31 0.3× 108 1.4× 54 0.9× 21 581
Ubaidus Sobhan Japan 13 356 1.2× 132 1.3× 73 0.8× 154 1.9× 11 0.2× 22 638
Matteo Garibaldi Italy 18 407 1.4× 74 0.7× 59 0.6× 66 0.8× 30 0.5× 68 762
Hervé Chaulet Australia 7 199 0.7× 46 0.4× 48 0.5× 56 0.7× 27 0.4× 7 426
Huimin Hu China 15 422 1.4× 146 1.4× 55 0.6× 11 0.1× 56 0.9× 28 808
Elaine S. Gilmore United States 15 264 0.9× 128 1.2× 24 0.3× 14 0.2× 88 1.4× 24 672
Bianca Vezzani Italy 15 417 1.4× 83 0.8× 52 0.5× 12 0.1× 60 1.0× 22 756

Countries citing papers authored by David B. Lipshutz

Since Specialization
Citations

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

Fields of papers citing papers by David B. Lipshutz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David B. Lipshutz. 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 David B. Lipshutz. The network helps show where David B. Lipshutz may publish in the future.

Co-authorship network of co-authors of David B. Lipshutz

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

All Works

8 of 8 papers shown
1.
Cooper, Dale A., Michal Magid-Slav, David B. Lipshutz, et al.. (2011). Identification of Blau Syndrome disease signatures. Pediatric Rheumatology. 9(S1). 2 indexed citations
2.
Leddy, Holly A., Bartholomew J. Votta, Sanjay Kumar, et al.. (2009). Functional characterization of TRPV4 as an osmotically sensitive ion channel in porcine articular chondrocytes. Arthritis & Rheumatism. 60(10). 3028–3037. 240 indexed citations
3.
Kumar, Sanjay, Janice R. Connor, Robert A. Dodds, et al.. (1999). Identification and Cloning of a Connective Tissue Growth Factor-like cDNA from Human Osteoblasts Encoding a Novel Regulator of Osteoblast Functions. Journal of Biological Chemistry. 274(24). 17123–17131. 88 indexed citations
4.
Prabhakar, Uma, Ian E. James, Robert A. Dodds, et al.. (1998). A Novel Human Bone Marrow Stroma-Derived Cell Line TF274 Is Highly Osteogenic In Vitro and In Vivo. Calcified Tissue International. 63(3). 214–220. 21 indexed citations
5.
Nambi, P, H.L. Wu, David B. Lipshutz, & Uma Prabhakar. (1995). Identification and characterization of endothelin receptors on rat osteoblastic osteosarcoma cells: down-regulation by 1,25-dihydroxy-vitamin D3.. Molecular Pharmacology. 47(2). 266–271. 30 indexed citations
6.
Prabhakar, Uma, David B. Lipshutz, Joan O'Leary Bartus, et al.. (1994). Characterization of cAMP-dependent inhibition of LPS-induced TNFα production by rolipram, a specific phosphodiesterase IV (PDE IV) inhibitor. International Journal of Immunopharmacology. 16(10). 805–816. 122 indexed citations
7.
Prabhakar, Uma, David B. Lipshutz, M Pullen, et al.. (1993). Protein kinase C regulates TNF-alpha production by human monocytes.. PubMed. 4(1). 31–7. 29 indexed citations
8.
Prabhakar, Uma, David B. Lipshutz, & Alemseged Truneh. (1993). Inhibition of CD44, CD45 and LFA-3 mediated cytokine release from human monocytes by SK&F 86002 and pentoxifylline. International Journal of Immunopharmacology. 15(2). 205–209. 10 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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