Laura Crisá

1.7k total citations
24 papers, 1.5k citations indexed

About

Laura Crisá is a scholar working on Surgery, Molecular Biology and Genetics. According to data from OpenAlex, Laura Crisá has authored 24 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 9 papers in Molecular Biology and 9 papers in Genetics. Recurrent topics in Laura Crisá's work include Pancreatic function and diabetes (11 papers), Diabetes and associated disorders (8 papers) and Diabetes Management and Research (4 papers). Laura Crisá is often cited by papers focused on Pancreatic function and diabetes (11 papers), Diabetes and associated disorders (8 papers) and Diabetes Management and Research (4 papers). Laura Crisá collaborates with scholars based in United States, Italy and Germany. Laura Crisá's co-authors include Daniel R. Salomon, Jennifer Ishii, Michael McMaster, Aldo A. Rossini, John P. Mordes, Vincenzo Cirulli, Susan J. Fisher, Bruce E. Torbett, Mark H. Ellisman and Camillo Ricordi and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Cell Biology and Blood.

In The Last Decade

Laura Crisá

24 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
Laura Crisá United States 17 778 384 374 319 213 24 1.5k
Nina Horelli‐Kuitunen Finland 18 509 0.7× 138 0.4× 635 1.7× 720 2.3× 561 2.6× 37 1.9k
Tamás Bárdos United States 19 513 0.7× 168 0.4× 107 0.3× 389 1.2× 12 0.1× 26 1.3k
S.J. Fisher United States 10 960 1.2× 47 0.1× 91 0.2× 320 1.0× 24 0.1× 15 1.7k
Hua Chang United States 15 119 0.2× 163 0.4× 255 0.7× 1.4k 4.4× 32 0.2× 34 1.8k
Susan Pfeifer‐Ohlsson Sweden 16 260 0.3× 86 0.2× 519 1.4× 1.1k 3.3× 94 0.4× 23 1.6k
Julia Gray United Kingdom 13 499 0.6× 370 1.0× 236 0.6× 897 2.8× 29 0.1× 17 2.1k
Odile Cohen‐Haguenauer France 16 173 0.2× 141 0.4× 527 1.4× 647 2.0× 64 0.3× 52 1.2k
K Nocka United States 12 831 1.1× 138 0.4× 257 0.7× 865 2.7× 21 0.1× 15 2.0k
Marat Gorivodsky Israel 17 261 0.3× 88 0.2× 322 0.9× 806 2.5× 18 0.1× 25 1.2k
I Virtanen Finland 18 248 0.3× 263 0.7× 167 0.4× 703 2.2× 87 0.4× 32 1.4k

Countries citing papers authored by Laura Crisá

Since Specialization
Citations

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

Fields of papers citing papers by Laura Crisá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Crisá

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Crisá. A scholar is included among the top collaborators of Laura Crisá 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 Laura Crisá. Laura Crisá 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.
Yang, Wendy, Paul D. Lampe, Patricia Kensel-Hammes, et al.. (2019). Connexin 43 Functions as a Positive Regulator of Stem Cell Differentiation into Definitive Endoderm and Pancreatic Progenitors. iScience. 19. 450–460. 11 indexed citations
2.
Hohl, Tobias M., et al.. (2017). A CCR2+ myeloid cell niche required for pancreatic β cell growth. JCI Insight. 2(15). 18 indexed citations
3.
Jiménez‐Caliani, Antonio J., Rudolf Pillich, Wendy Yang, et al.. (2017). αE-Catenin Is a Positive Regulator of Pancreatic Islet Cell Lineage Differentiation. Cell Reports. 20(6). 1295–1306. 14 indexed citations
4.
Jiménez‐Caliani, Antonio J., et al.. (2014). Macrophage/Epithelium Cross-Talk Regulates Cell Cycle Progression and Migration in Pancreatic Progenitors. PLoS ONE. 9(2). e89492–e89492. 11 indexed citations
5.
Diaferia, Giuseppe R., Antonio J. Jiménez‐Caliani, Wendy Yang, et al.. (2013). β1 integrin is a crucial regulator of pancreatic β-cell expansion. Development. 140(16). 3360–3372. 77 indexed citations
6.
Yebra, Mayra, Giuseppe R. Diaferia, Anthony M.P. Montgomery, et al.. (2011). Endothelium-Derived Netrin-4 Supports Pancreatic Epithelial Cell Adhesion and Differentiation through Integrins α2β1 and α3β1. PLoS ONE. 6(7). e22750–e22750. 38 indexed citations
7.
Miller, R, Vincenzo Cirulli, Giuseppe R. Diaferia, et al.. (2008). Switching-On Survival and Repair Response Programs in Islet Transplants by Bone Marrow–Derived Vasculogenic Cells. Diabetes. 57(9). 2402–2412. 18 indexed citations
8.
Cirulli, Vincenzo, Michael McMaster, Daniel R. Salomon, et al.. (2006). The Class I HLA Repertoire of Pancreatic Islets Comprises the Nonclassical Class Ib Antigen HLA-G. Diabetes. 55(5). 1214–1222. 135 indexed citations
9.
Cirulli, Vincenzo, et al.. (2004). The role of angiopoietins in the development of endothelial cells from cord blood CD34+ progenitors. Blood. 104(7). 2010–2019. 71 indexed citations
10.
Mallet, Valérie, Astrid Blaschitz, Laura Crisá, et al.. (1999). HLA-G in the human thymus: a subpopulation of medullary epithelial but not CD83+ dendritic cells expresses HLA-G as a membrane-bound and soluble protein. International Immunology. 11(6). 889–898. 110 indexed citations
11.
Crisá, Laura, Vincenzo Cirulli, Kevin M. Smith, et al.. (1999). Human Cord Blood Progenitors Sustain Thymic T-Cell Development and a Novel Form of Angiogenesis. Blood. 94(11). 3928–3940. 2 indexed citations
12.
Cirulli, V., Laura Crisá, G M Beattie, et al.. (1998). KSA Antigen Ep-CAM Mediates Cell–Cell Adhesion of Pancreatic Epithelial Cells: Morphoregulatory Roles in Pancreatic Islet Development. The Journal of Cell Biology. 140(6). 1519–1534. 93 indexed citations
14.
Salomon, D., V. Cirulli, Alberto Hayek, et al.. (1997). THE EXPRESSION AND FUNCTION OF INTEGRIN ADHESION MOLECULES ON HUMAN ISLET CELLS. ASAIO Journal. 43(2). 19–19. 2 indexed citations
15.
Todd, Scott C., et al.. (1996). CD81 expressed on human thymocytes mediates integrin activation and interleukin 2-dependent proliferation.. The Journal of Experimental Medicine. 184(5). 2055–2060. 83 indexed citations
16.
Crisá, Laura, V. Cirulli, Mark H. Ellisman, et al.. (1996). Cell adhesion and migration are regulated at distinct stages of thymic T cell development: the roles of fibronectin, VLA4, and VLA5.. The Journal of Experimental Medicine. 184(1). 215–228. 81 indexed citations
17.
Crisá, Laura, John P. Mordes, & Aldo A. Rossini. (1992). Autoimmune diabetes mellitus in the BB rat. Diabetes/Metabolism Reviews. 8(1). 9–37. 182 indexed citations
19.
Crisá, Laura, Dale L. Greiner, John P. Mordes, et al.. (1990). Biochemical Studies of RT6 Alloantigens in BB/Wor and Normal Rats: Evidence for Intact Unexpressed RT6a Structural Gene in Diabetes-Prone BB Rats. Diabetes. 39(10). 1279–1288. 18 indexed citations
20.
Mario, Umberto Di, Laura Crisá, Emanuela Anastasi, et al.. (1989). Anti-goat immunoglobulin antibodies in diabetic children at diagnosis and follow-up: comparison with islet cell antibodies and other autoantibodies. European Journal of Endocrinology. 120(3). 326–330. 4 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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