Celia Sharp

402 total citations
7 papers, 330 citations indexed

About

Celia Sharp is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Celia Sharp has authored 7 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Oncology. Recurrent topics in Celia Sharp's work include Peptidase Inhibition and Analysis (2 papers), Receptor Mechanisms and Signaling (2 papers) and Cell Adhesion Molecules Research (2 papers). Celia Sharp is often cited by papers focused on Peptidase Inhibition and Analysis (2 papers), Receptor Mechanisms and Signaling (2 papers) and Cell Adhesion Molecules Research (2 papers). Celia Sharp collaborates with scholars based in United States and United Kingdom. Celia Sharp's co-authors include Marian T. Nakada, Zhou Zhao, Jeffrey A. Nemeth, Jill Giles‐Komar, Eva Emmell, Qiming Chen, Mohit Trikha, Geoffrey M. Anderson, Hillary J. Millar and Francis L. McCabe and has published in prestigious journals such as International Journal of Cancer, American Journal of Physiology-Gastrointestinal and Liver Physiology and The Journal of Membrane Biology.

In The Last Decade

Celia Sharp

7 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Celia Sharp United States 6 131 124 94 94 52 7 330
Kengo Miyoshi Japan 6 178 1.4× 212 1.7× 48 0.5× 36 0.4× 94 1.8× 12 375
Christian C. Lee United States 11 248 1.9× 30 0.2× 72 0.8× 127 1.4× 35 0.7× 17 442
Nadia Le Marer United Kingdom 9 261 2.0× 41 0.3× 42 0.4× 117 1.2× 41 0.8× 11 373
Nikolina Stojanović Croatia 10 102 0.8× 76 0.6× 65 0.7× 92 1.0× 25 0.5× 16 272
Marina Kiso Japan 4 410 3.1× 182 1.5× 75 0.8× 120 1.3× 53 1.0× 5 577
M. M. Griffin United Kingdom 9 112 0.9× 97 0.8× 23 0.2× 37 0.4× 67 1.3× 29 382
Simon Fry United Kingdom 7 237 1.8× 29 0.2× 40 0.4× 107 1.1× 140 2.7× 7 352
Anja Heinemann Germany 12 334 2.5× 41 0.3× 47 0.5× 155 1.6× 121 2.3× 19 610
Rohitesh Gupta United States 9 237 1.8× 37 0.3× 51 0.5× 55 0.6× 31 0.6× 9 314
Peter M. Tuhy United States 9 193 1.5× 28 0.2× 62 0.7× 113 1.2× 151 2.9× 11 387

Countries citing papers authored by Celia Sharp

Since Specialization
Citations

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

Fields of papers citing papers by Celia Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Celia Sharp

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

All Works

7 of 7 papers shown
1.
Chen, Qiming, Carol D. Manning, Hillary J. Millar, et al.. (2007). CNTO 95, a fully human anti αv integrin antibody, inhibits cell signaling, migration, invasion, and spontaneous metastasis of human breast cancer cells. Clinical & Experimental Metastasis. 25(2). 139–148. 77 indexed citations
2.
Trikha, Mohit, Zhou Zhao, Jeffrey A. Nemeth, et al.. (2004). CNTO 95, a fully human monoclonal antibody that inhibits αv integrins, has antitumor and antiangiogenic activity in vivo. International Journal of Cancer. 110(3). 326–335. 124 indexed citations
3.
Rudolph, Matthias, Carl R. Illig, Nalin L. Subasinghe, et al.. (2002). Design and Synthesis of 4,5-Disubstituted-thiophene-2-amidines as Potent Urokinase Inhibitors. Bioorganic & Medicinal Chemistry Letters. 12(3). 491–495. 23 indexed citations
4.
Wilson, Kenneth J., Carl R. Illig, Nalin L. Subasinghe, et al.. (2001). Synthesis of thiophene-2-carboxamidines containing 2-amino-thiazoles and their biological evaluation as urokinase inhibitors. Bioorganic & Medicinal Chemistry Letters. 11(7). 915–918. 88 indexed citations
5.
Akeson, Mark, Joshua Scharff, Celia Sharp, & David M. Neville. (1992). Evidence that plasma membrane electrical potential is required for vesicular stomatitis virus infection of MDCK cells: A study using fluorescence measurements through polycarbonate supports. The Journal of Membrane Biology. 125(1). 81–91. 8 indexed citations
6.
Vinayek, Rakesh, et al.. (1990). Carbachol-Induced Down-Regulation of Receptors for Pancreatic Secretagogues. Digestion. 46(2). 112–124. 2 indexed citations
7.
Vinayek, Rakesh, Manabu Murakami, Celia Sharp, Robert T. Jensen, & Jerry D. Gardner. (1990). Carbachol desensitizes pancreatic enzyme secretion by downregulation of receptors. American Journal of Physiology-Gastrointestinal and Liver Physiology. 258(1). G107–G121. 8 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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