Virginia Snell

1.4k total citations
19 papers, 1.1k citations indexed

About

Virginia Snell is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Virginia Snell has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Oncology and 8 papers in Immunology. Recurrent topics in Virginia Snell's work include Cell death mechanisms and regulation (6 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Acute Myeloid Leukemia Research (3 papers). Virginia Snell is often cited by papers focused on Cell death mechanisms and regulation (6 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Acute Myeloid Leukemia Research (3 papers). Virginia Snell collaborates with scholars based in United States, Italy and Germany. Virginia Snell's co-authors include Anas Younes, Michael Andreeff, Shourong Zhao, Fernando Cabanillas, Katharina Clodi, Elaine K. Thomas, Ugo Consoli, Paolo Fiumara, Mamoun Younes and Ugo Consoli and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Annals of Oncology.

In The Last Decade

Virginia Snell

19 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Virginia Snell United States 14 542 391 387 278 249 19 1.1k
Georgios Z. Rassidakis United States 17 489 0.9× 414 1.1× 234 0.6× 231 0.8× 375 1.5× 34 1.0k
Jeffrey S. Painter United States 16 474 0.9× 297 0.8× 635 1.6× 497 1.8× 211 0.8× 28 1.3k
Stanley Frankel United States 13 514 0.9× 424 1.1× 196 0.5× 211 0.8× 362 1.5× 24 1.2k
Bryan Ciccarelli United States 13 530 1.0× 264 0.7× 302 0.8× 316 1.1× 276 1.1× 34 1.1k
Fanqi Bai United States 13 290 0.5× 305 0.8× 637 1.6× 307 1.1× 192 0.8× 24 1.0k
Archito T. Tamayo United States 16 631 1.2× 412 1.1× 413 1.1× 127 0.5× 393 1.6× 34 1.2k
Lorraine Tracey Spain 15 580 1.1× 321 0.8× 216 0.6× 97 0.3× 181 0.7× 20 1.1k
Andrea G.S. Buggins United Kingdom 19 332 0.6× 251 0.6× 628 1.6× 224 0.8× 253 1.0× 33 1.1k
Catherine Frelin Canada 12 711 1.3× 349 0.9× 315 0.8× 340 1.2× 59 0.2× 19 1.2k
Belinda Austen United Kingdom 13 412 0.8× 318 0.8× 261 0.7× 85 0.3× 339 1.4× 16 956

Countries citing papers authored by Virginia Snell

Since Specialization
Citations

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

Fields of papers citing papers by Virginia Snell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Virginia Snell

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

All Works

19 of 19 papers shown
1.
Zheng, Bei, Paolo Fiumara, Yang V. Li, et al.. (2003). MEK/ERK pathway is aberrantly active in Hodgkin disease: a signaling pathway shared by CD30, CD40, and RANK that regulates cell proliferation and survival. Blood. 102(3). 1019–1027. 160 indexed citations
2.
Konopleva, Marina, Shourong Zhao, Wei Hu, et al.. (2002). The anti‐apoptotic genes Bcl‐XL and Bcl‐2 are over‐expressed and contribute to chemoresistance of non‐proliferating leukaemic CD34+ cells. British Journal of Haematology. 118(2). 521–534. 128 indexed citations
3.
Fiumara, Paolo, Virginia Snell, Yang Li, et al.. (2001). Functional expression of receptor activator of nuclear factor κB in Hodgkin disease cell lines. Blood. 98(9). 2784–2790. 100 indexed citations
4.
Kornblau, Steven M., Virginia Snell, Donna Przepiorka, et al.. (2001). Preemptive control of graft-versus-host disease in a murine allogeneic transplant model using retrovirally transduced murine suicidal lymphocytes.. PubMed. 61(8). 3355–60. 13 indexed citations
5.
6.
Garderet, Laurent, Virginia Snell, Donna Przepiorka, et al.. (1999). EFFECTIVE DEPLETION OF ALLOREACTIVE LYMPHOCYTES FROM PERIPHERAL BLOOD MONONUCLEAR CELL PREPARATIONS1,2. Transplantation. 67(1). 124–130. 47 indexed citations
7.
Marini, Frank C., Virginia Snell, X. Zhang, et al.. (1999). Purging of contaminating breast cancer cells from hematopoietic stem cell grafts by adenoviral GAL-TEK gene therapy and magnetic antibody cell separation.. PubMed. 5(6). 1557–68. 10 indexed citations
8.
Clodi, Katharina, Virginia Snell, Shourong Zhao, et al.. (1998). Unbalanced expression of Fas and CD40 in mantle cell lymphoma. British Journal of Haematology. 103(1). 217–219. 22 indexed citations
9.
Munker, Reinhold, Shourong Zhao, Shuwei Jiang, et al.. (1998). Further characterization of cyclophosphamide resistance: expression of CD95 and of bcl-2 in a CML cell line. Leukemia Research. 22(11). 1073–1077. 6 indexed citations
10.
Younes, Anas, Virginia Snell, Ugo Consoli, et al.. (1998). Elevated levels of biologically active soluble CD40 ligand in the serum of patients with chronic lymphocytic leukaemia. British Journal of Haematology. 100(1). 135–141. 84 indexed citations
11.
12.
Deng, Gary, Steven M. Kornblau, A Goodacre, et al.. (1998). Ratio of bcl-xshort to bcl-xlong Is Different in Good- and Poor-Prognosis Subsets of Acute Myeloid Leukemia. Molecular Medicine. 4(3). 158–164. 20 indexed citations
13.
Consoli, Ugo, Virginia Snell, Hans‐Dieter Kleine, et al.. (1998). Differential Induction of Apoptosis by Fludarabine Monophosphate in Leukemic B and Normal T Cells in Chronic Lymphocytic Leukemia. Blood. 91(5). 1742–1748. 4 indexed citations
14.
Younes, Anas, Ugo Consoli, Virginia Snell, et al.. (1997). CD30 ligand in lymphoma patients with CD30+ tumors.. Journal of Clinical Oncology. 15(11). 3355–3362. 48 indexed citations
15.
Snell, Virginia, Katharina Clodi, Shourong Zhao, et al.. (1997). Activity of TNF‐related apoptosis‐inducing ligand (TRAIL) in haematological malignancies. British Journal of Haematology. 99(3). 618–624. 111 indexed citations
16.
Kornblau, Steven M., Elihu H. Estey, Timothy Madden, et al.. (1997). Phase I study of mitoxantrone plus etoposide with multidrug blockade by SDZ PSC-833 in relapsed or refractory acute myelogenous leukemia.. Journal of Clinical Oncology. 15(5). 1796–1802. 75 indexed citations
17.
Younes, Anas, Saili Zhao, Virginia Snell, et al.. (1997). CD30-ligand and CD40-ligand expression in lymph nodes involved with Hodgkin's disease. Annals of Oncology. 8. S97–S100. 9 indexed citations
18.
Younes, Anas, Ugo Consoli, Shourong Zhao, et al.. (1996). CD30 ligand is expressed on resting normal and malignant human B lymphocytes. British Journal of Haematology. 93(3). 569–571. 55 indexed citations
19.
Estrov, Zeev, X. Zhang, Ugo Consoli, et al.. (1996). Flt3 ligand stimulates proliferation and inhibits apoptosis of acute myeloid leukemia cells: regulation of Bcl-2 and Bax. Blood. 88(10). 3987–3997. 127 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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