Kelly-Ann Sheppard

3.6k total citations · 1 hit paper
17 papers, 3.0k citations indexed

About

Kelly-Ann Sheppard is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Kelly-Ann Sheppard has authored 17 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Oncology and 4 papers in Immunology. Recurrent topics in Kelly-Ann Sheppard's work include Cancer-related Molecular Pathways (5 papers), TGF-β signaling in diseases (3 papers) and Ubiquitin and proteasome pathways (3 papers). Kelly-Ann Sheppard is often cited by papers focused on Cancer-related Molecular Pathways (5 papers), TGF-β signaling in diseases (3 papers) and Ubiquitin and proteasome pathways (3 papers). Kelly-Ann Sheppard collaborates with scholars based in United States, Netherlands and China. Kelly-Ann Sheppard's co-authors include Charles N. Serhan, Amy S. Yee, Dimitris Thanos, Michael G. Rosenfeld, Tucker Collins, Christopher K. Glass, Helen Piwnica‐Worms, Min Xu, Cheng‐Yuan Peng and Yongchang Qiu and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Kelly-Ann Sheppard

17 papers receiving 3.0k citations

Hit Papers

PD‐1 inhibits T‐cell rece... 2004 2026 2011 2018 2004 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kelly-Ann Sheppard United States 15 1.7k 1.2k 958 514 338 17 3.0k
Isabelle Dusanter‐Fourt France 38 1.9k 1.1× 1.9k 1.6× 1.3k 1.4× 441 0.9× 484 1.4× 83 4.8k
Xin-Yuan Fu United States 32 1.9k 1.1× 1.7k 1.5× 1.7k 1.8× 505 1.0× 284 0.8× 43 4.3k
Luigi Pegoraro Italy 31 1.7k 1.0× 724 0.6× 1.1k 1.1× 354 0.7× 302 0.9× 108 3.5k
Sarah Schwitalla Germany 10 1.4k 0.8× 1.2k 1.0× 648 0.7× 786 1.5× 222 0.7× 14 2.6k
Steve Carbajal United States 24 1.2k 0.7× 869 0.7× 803 0.8× 420 0.8× 142 0.4× 37 2.5k
David J. Izon Australia 25 2.1k 1.3× 598 0.5× 1.5k 1.5× 313 0.6× 222 0.7× 49 3.7k
Olga Chernova United States 27 2.2k 1.3× 1.1k 0.9× 546 0.6× 565 1.1× 314 0.9× 42 3.7k
Giovanna Tabellini Italy 37 2.2k 1.3× 882 0.7× 1.2k 1.2× 346 0.7× 153 0.5× 74 3.9k
Darjus F. Tschaharganeh Germany 22 2.3k 1.3× 1.1k 0.9× 538 0.6× 583 1.1× 320 0.9× 34 3.5k
Junko Irie-Sasaki Canada 9 1.4k 0.9× 907 0.8× 990 1.0× 328 0.6× 163 0.5× 9 2.5k

Countries citing papers authored by Kelly-Ann Sheppard

Since Specialization
Citations

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

Fields of papers citing papers by Kelly-Ann Sheppard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kelly-Ann Sheppard. 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 Kelly-Ann Sheppard. The network helps show where Kelly-Ann Sheppard may publish in the future.

Co-authorship network of co-authors of Kelly-Ann Sheppard

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

All Works

17 of 17 papers shown
1.
Zhou, Fangfang, Yvette Drabsch, Tim Dekker, et al.. (2014). Nuclear receptor NR4A1 promotes breast cancer invasion and metastasis by activating TGF-β signalling. Nature Communications. 5(1). 3388–3388. 160 indexed citations
2.
Ciuclan, Loredana, Kelly-Ann Sheppard, Liqun Dong, et al.. (2013). Treatment with Anti–Gremlin 1 Antibody Ameliorates Chronic Hypoxia/SU5416–Induced Pulmonary Arterial Hypertension in Mice. American Journal Of Pathology. 183(5). 1461–1473. 56 indexed citations
3.
Zhang, Long, Fangfang Zhou, Amaya García de Vinuesa, et al.. (2013). TRAF4 Promotes TGF-β Receptor Signaling and Drives Breast Cancer Metastasis. Molecular Cell. 51(5). 559–572. 196 indexed citations
4.
Lach‐Trifilieff, Estelle, Giulia Minetti, Kelly-Ann Sheppard, et al.. (2013). An Antibody Blocking Activin Type II Receptors Induces Strong Skeletal Muscle Hypertrophy and Protects from Atrophy. Molecular and Cellular Biology. 34(4). 606–618. 232 indexed citations
5.
Zhang, Long, Huizhe Huang, Fangfang Zhou, et al.. (2012). RNF12 Controls Embryonic Stem Cell Fate and Morphogenesis in Zebrafish Embryos by Targeting Smad7 for Degradation. Molecular Cell. 47(2). 330–330. 4 indexed citations
6.
Zhang, Long, Fangfang Zhou, Yvette Drabsch, et al.. (2012). USP4 is regulated by AKT phosphorylation and directly deubiquitylates TGF-β type I receptor. Nature Cell Biology. 14(7). 717–726. 257 indexed citations
7.
Zhang, Long, Huizhe Huang, Fangfang Zhou, et al.. (2012). RNF12 Controls Embryonic Stem Cell Fate and Morphogenesis in Zebrafish Embryos by Targeting Smad7 for Degradation. Molecular Cell. 46(5). 650–661. 78 indexed citations
8.
Sheppard, Kelly-Ann, Lori Fitz, Judith A. St. George, et al.. (2004). PD‐1 inhibits T‐cell receptor induced phosphorylation of the ZAP70/CD3ζ signalosome and downstream signaling to PKCθ. FEBS Letters. 574(1-3). 37–41. 631 indexed citations breakdown →
9.
Sheppard, Kelly-Ann, David W. Rose, Riki Kurokawa, et al.. (1999). Transcriptional Activation by NF-κB Requires Multiple Coactivators. Molecular and Cellular Biology. 19(9). 6367–6378. 379 indexed citations
10.
Sheppard, Kelly-Ann, Amy J. Williams, Dimitris Thanos, et al.. (1998). Nuclear Integration of Glucocorticoid Receptor and Nuclear Factor-κB Signaling by CREB-binding Protein and Steroid Receptor Coactivator-1. Journal of Biological Chemistry. 273(45). 29291–29294. 243 indexed citations
11.
Tevosian, Sergei G., Heather H. Shih, Karen Mendelson, et al.. (1997). HBP1: a HMG box transcriptional repressor that is targeted by the retinoblastoma family.. Genes & Development. 11(3). 383–396. 128 indexed citations
12.
Xu, Min, Kelly-Ann Sheppard, Cheng‐Yuan Peng, Amy S. Yee, & Helen Piwnica‐Worms. (1994). Cyclin A/CDK2 Binds Directly to E2F-1 and Inhibits the DNA-Binding Activity of E2F-1/DP-1 by Phosphorylation. Molecular and Cellular Biology. 14(12). 8420–8431. 80 indexed citations
13.
Xu, Min, Kelly-Ann Sheppard, Cheng‐Yuan Peng, Amy S. Yee, & Helen Piwnica‐Worms. (1994). Cyclin A/CDK2 binds directly to E2F-1 and inhibits the DNA-binding activity of E2F-1/DP-1 by phosphorylation.. Molecular and Cellular Biology. 14(12). 8420–8431. 250 indexed citations
15.
Sheppard, Kelly-Ann, Sheryl M. Greenberg, Colin Funk, Mario Romano, & Charles N. Serhan. (1992). Lipoxin generation by human megakaryocyte-induced 12-lipoxygenase. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1133(2). 223–234. 39 indexed citations
16.
Fiore, Stefano, Mark E. Brezinski, Kelly-Ann Sheppard, & Charles N. Serhan. (1991). The Lipoxin Biosynthetic Circuit and their Actions with Human Neutrophils. Advances in experimental medicine and biology. 314. 109–132. 10 indexed citations
17.
Serhan, Charles N. & Kelly-Ann Sheppard. (1990). Lipoxin formation during human neutrophil-platelet interactions. Evidence for the transformation of leukotriene A4 by platelet 12-lipoxygenase in vitro.. Journal of Clinical Investigation. 85(3). 772–780. 247 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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