Maria-Concetta Verı́

454 total citations
9 papers, 371 citations indexed

About

Maria-Concetta Verı́ is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Maria-Concetta Verı́ has authored 9 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 4 papers in Molecular Biology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Maria-Concetta Verı́'s work include T-cell and B-cell Immunology (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Maria-Concetta Verı́ is often cited by papers focused on T-cell and B-cell Immunology (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Maria-Concetta Verı́ collaborates with scholars based in United States, Italy and Japan. Maria-Concetta Verı́'s co-authors include Ezio Bonvini, Scott Koenig, Syd Johnson, Sergey Gorlatov, Steve Burke, Jeffrey B. Stavenhagen, Hua Li, Kathryn E. Stein, Karen E. DeBell and Barbara L. Rellahan and has published in prestigious journals such as Blood, Molecular and Cellular Biology and Cancer Research.

In The Last Decade

Maria-Concetta Verı́

9 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria-Concetta Verı́ United States 7 215 181 178 58 46 9 371
Thomas Simon Germany 8 251 1.2× 153 0.8× 211 1.2× 29 0.5× 22 0.5× 12 411
Christophe Teillaud France 10 133 0.6× 247 1.4× 168 0.9× 30 0.5× 16 0.3× 13 358
A Weiss United States 5 284 1.3× 214 1.2× 52 0.3× 65 1.1× 23 0.5× 6 404
H.P. Tony Germany 6 260 1.2× 72 0.4× 103 0.6× 58 1.0× 14 0.3× 10 368
C E Spooner United States 6 399 1.9× 134 0.7× 191 1.1× 95 1.6× 9 0.2× 8 542
William C. Bartlett United States 10 294 1.4× 61 0.3× 126 0.7× 36 0.6× 14 0.3× 12 382
Olga Ignatovich United Kingdom 7 175 0.8× 187 1.0× 219 1.2× 43 0.7× 41 0.9× 12 366
Piet De Somer Belgium 7 162 0.8× 137 0.8× 81 0.5× 96 1.7× 15 0.3× 7 352
GF Hollis United States 6 150 0.7× 227 1.3× 110 0.6× 87 1.5× 88 1.9× 8 452
Barbara Gunn United Kingdom 10 242 1.1× 190 1.0× 150 0.8× 133 2.3× 9 0.2× 17 395

Countries citing papers authored by Maria-Concetta Verı́

Since Specialization
Citations

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

Fields of papers citing papers by Maria-Concetta Verı́

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria-Concetta Verı́. 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 Maria-Concetta Verı́. The network helps show where Maria-Concetta Verı́ may publish in the future.

Co-authorship network of co-authors of Maria-Concetta Verı́

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

All Works

9 of 9 papers shown
1.
Verı́, Maria-Concetta, Stephen Burke, Ling Huang, et al.. (2010). Therapeutic control of B cell activation via recruitment of Fcγ receptor IIb (CD32B) inhibitory function with a novel bispecific antibody scaffold. Arthritis & Rheumatism. 62(7). 1933–1943. 59 indexed citations
2.
Moore, Paul A., Wenjun Zhang, Steve Burke, et al.. (2010). Abstract 5629: Application of a novel bispecific antibody-based scaffold for optimal redirected T-cell killing of cancer cells. Cancer Research. 70(8_Supplement). 5629–5629. 1 indexed citations
3.
4.
Rankin, Christopher T., Maria-Concetta Verı́, Sergey Gorlatov, et al.. (2006). CD32B, the human inhibitory Fc-γ receptor IIB, as a target for monoclonal antibody therapy of B-cell lymphoma. Blood. 108(7). 2384–2391. 70 indexed citations
5.
Graham, Laurie, Maria-Concetta Verı́, Karen E. DeBell, et al.. (2003). 70Z/3 Cbl induces PLCγ1 activation in T lymphocytes via an alternate Lat- and Slp-76-independent signaling mechanism. Oncogene. 22(16). 2493–2503. 6 indexed citations
6.
Bonvini, Ezio, Karen E. DeBell, Maria-Concetta Verı́, et al.. (2003). On the mechanism coupling phospholipase Cγ1 to the B- and T-cell antigen receptors. Advances in Enzyme Regulation. 43(1). 245–269. 13 indexed citations
7.
Verı́, Maria-Concetta, Karen E. DeBell, Maria‐Cristina Seminario, et al.. (2001). Membrane Raft-Dependent Regulation of Phospholipase Cγ-1 Activation in T Lymphocytes. Molecular and Cellular Biology. 21(20). 6939–6950. 57 indexed citations
8.
Graham, Laurie, Karen E. DeBell, Maria-Concetta Verı́, et al.. (2000). Differential effects of Cbl and 70Z/3 Cbl on T cell receptor‐induced phospholipase Cγ‐1 activity. FEBS Letters. 470(3). 273–280. 13 indexed citations
9.
DeBell, Karen E., Bogdan A. Stoica, Maria-Concetta Verı́, et al.. (1999). Functional Independence and Interdependence of the Src Homology Domains of Phospholipase C-γ1 in B-Cell Receptor Signal Transduction. Molecular and Cellular Biology. 19(11). 7388–7398. 33 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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