Scott Van Wier

3.6k total citations · 2 hit papers
24 papers, 1.4k citations indexed

About

Scott Van Wier is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Scott Van Wier has authored 24 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Hematology, 11 papers in Molecular Biology and 9 papers in Genetics. Recurrent topics in Scott Van Wier's work include Multiple Myeloma Research and Treatments (15 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Protein Degradation and Inhibitors (6 papers). Scott Van Wier is often cited by papers focused on Multiple Myeloma Research and Treatments (15 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Protein Degradation and Inhibitors (6 papers). Scott Van Wier collaborates with scholars based in United States, Singapore and Norway. Scott Van Wier's co-authors include Rafaël Fonseca, P. Leif Bergsagel, Esteban Braggio, A. Keith Stewart, Jonathan J. Keats, Marta Chesi, Victoria M. Garbitt, Chang-Xin Shi, Jessica Schmidt and John D. Carpten and has published in prestigious journals such as Blood, PLoS ONE and Cancer Research.

In The Last Decade

Scott Van Wier

23 papers receiving 1.4k citations

Hit Papers

Cereblon expression is required for the antimyeloma activ... 2011 2026 2016 2021 2011 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott Van Wier United States 9 995 918 440 278 218 24 1.4k
Letha A. Phillips United States 8 1.0k 1.0× 1.3k 1.4× 466 1.1× 162 0.6× 306 1.4× 15 2.5k
Chang-Xin Shi United States 17 1.4k 1.4× 1.1k 1.2× 490 1.1× 147 0.5× 129 0.6× 20 1.7k
HG Ahuja United States 12 409 0.4× 538 0.6× 458 1.0× 144 0.5× 313 1.4× 22 1.1k
SC Raimondi United States 21 751 0.8× 1.4k 1.5× 323 0.7× 157 0.6× 344 1.6× 46 2.2k
Wijith Munasinghe United States 17 438 0.4× 334 0.4× 464 1.1× 140 0.5× 357 1.6× 47 950
Edward Allan R. Sison United States 11 1.5k 1.5× 844 0.9× 403 0.9× 57 0.2× 93 0.4× 22 1.9k
P. Leif Bergsagel United States 9 1.2k 1.2× 1.4k 1.5× 694 1.6× 116 0.4× 206 0.9× 10 1.6k
Laura Chiecchio United Kingdom 18 1.2k 1.3× 1.2k 1.3× 563 1.3× 168 0.6× 201 0.9× 28 1.6k
A Goodacre United States 14 333 0.3× 438 0.5× 252 0.6× 260 0.9× 329 1.5× 16 845
Mitsushige Nakao Japan 11 602 0.6× 1.1k 1.2× 209 0.5× 182 0.7× 472 2.2× 23 1.5k

Countries citing papers authored by Scott Van Wier

Since Specialization
Citations

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

Fields of papers citing papers by Scott Van Wier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott Van Wier. 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 Scott Van Wier. The network helps show where Scott Van Wier may publish in the future.

Co-authorship network of co-authors of Scott Van Wier

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Van Wier. A scholar is included among the top collaborators of Scott Van Wier 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 Scott Van Wier. Scott Van Wier 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.
2.
Braggio, Esteban, Scott Van Wier, Juhi Ojha, et al.. (2015). Genome-Wide Analysis Uncovers Novel Recurrent Alterations in Primary Central Nervous System Lymphomas. Clinical Cancer Research. 21(17). 3986–3994. 150 indexed citations
3.
Affer, Maurizio, Marta Chesi, Jonathan J. Keats, et al.. (2014). Promiscuous MYC locus rearrangements hijack enhancers but mostly super-enhancers to dysregulate MYC expression in multiple myeloma. Leukemia. 28(8). 1725–1735. 181 indexed citations
4.
Egan, Jan B., Michael T. Barrett, Mia D. Champion, et al.. (2014). Whole Genome Analyses of a Well-Differentiated Liposarcoma Reveals Novel SYT1 and DDR2 Rearrangements. PLoS ONE. 9(2). e87113–e87113. 15 indexed citations
5.
O’Neill, Brian Patrick, Esteban Braggio, Scott Van Wier, et al.. (2014). GENOME-WIDE ANALYSIS UNCOVERS RECURRENT ALTERATIONS IN PRIMARY CENTRAL NERVOUS SYSTEM LYMPHOMAS (PCNSL). Neuro-Oncology. 16(suppl 3). iii43–iii43. 1 indexed citations
6.
Wier, Scott Van, Esteban Braggio, Angela Baker, et al.. (2013). Hypodiploid multiple myeloma is characterized by more aggressive molecular markers than non-hyperdiploid multiple myeloma. Haematologica. 98(10). 1586–1592. 48 indexed citations
7.
Braggio, Esteban, Brian Patrick O’Neill, Scott Van Wier, et al.. (2013). The Genomic Landscape Of Primary Central Nervous System Lymphomas. Blood. 122(21). 504–504. 1 indexed citations
8.
Keats, Jonathan J., Marta Chesi, Jan B. Egan, et al.. (2012). Clonal competition with alternating dominance in multiple myeloma. Blood. 120(5). 1067–1076. 456 indexed citations breakdown →
9.
Bergsagel, P. Leif, Maurizio Affer, O K Glebov, et al.. (2012). Promiscuous Cryptic Rearrangements of the MYC Locus Cis-Dysregulate MYC Expression and Are Present in the Majority of Patients with Hyperdiploid Myeloma. Blood. 120(21). 724–724. 2 indexed citations
10.
Issa, Samar, Esteban Braggio, Víctor H. Jiménez‐Zepeda, et al.. (2011). Abstract 219: TP53 loss: An overriding marker of disease progression in Multiple Myeloma. Cancer Research. 71(8_Supplement). 219–219. 1 indexed citations
11.
Zhu, Yuan Xiao, Esteban Braggio, Chang-Xin Shi, et al.. (2011). Cereblon expression is required for the antimyeloma activity of lenalidomide and pomalidomide. Blood. 118(18). 4771–4779. 461 indexed citations breakdown →
12.
Kumar, Shaji, Angela Dispenzieri, Scott Van Wier, et al.. (2010). Relationship between elevated immunoglobulin free light chain and the presence of IgH translocations in multiple myeloma. Leukemia. 24(8). 1498–1505. 28 indexed citations
13.
14.
Keats, Jonathan J., Esteban Braggio, Scott Van Wier, et al.. (2010). Analysis of Serial Patient Samples Reveals a Variety of Clonal Dynamics In Multiple Myeloma. Blood. 116(21). 1923–1923.
15.
Kay, Neil E., Esteban Braggio, Scott Van Wier, et al.. (2010). Progressive but Previously Untreated CLL Patients with Greater Array CGH Complexity Exhibit A Less Durable Response to Chemoimmunotherapy. Blood. 116(21). 2406–2406. 1 indexed citations
16.
Braggio, Esteban, Jonathan J. Keats, Xavier Leleu, et al.. (2009). High-Resolution Genomic Analysis in Waldenström's Macroglobulinemia Identifies Disease-Specific and Common Abnormalities with Marginal Zone Lymphomas. Clinical Lymphoma & Myeloma. 9(1). 39–42. 18 indexed citations
17.
Leis, José F., Esteban Braggio, Scott Van Wier, et al.. (2009). Impact of IgVH Gene Mutational Status and VH Family Usage on Chromosomal Aberrations Detected by High-Resolution Array-CGH in B-CLL.. Blood. 114(22). 1246–1246. 1 indexed citations
18.
Wier, Scott Van, Esteban Braggio, Jonathan J. Keats, et al.. (2008). Loss of p53 Is a Marker of Progression in Plasma Cell Neoplasias and Is a Negative Prognostic Factor in Relapsed Disease.. Blood. 112(11). 1663–1663. 3 indexed citations
20.
Fonseca, Rafaël, Scott Van Wier, Wee Joo Chng, et al.. (2005). Low Level Amplification (Duplication) of 1q21 in Myeloma and Prognosis; the Role of CKS1B.. Blood. 106(11). 624–624. 3 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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