Victor Weigman

5.7k total citations · 1 hit paper
23 papers, 1.6k citations indexed

About

Victor Weigman is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Victor Weigman has authored 23 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Cancer Research and 8 papers in Oncology. Recurrent topics in Victor Weigman's work include Cancer Genomics and Diagnostics (8 papers), RNA modifications and cancer (5 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Victor Weigman is often cited by papers focused on Cancer Genomics and Diagnostics (8 papers), RNA modifications and cancer (5 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Victor Weigman collaborates with scholars based in United States, Norway and Belgium. Victor Weigman's co-authors include Charles M. Perou, Vessela N. Kristensen, Anne‐Lise Børresen‐Dale, Silje Nord, Inga Hansine Rye, Peter Van Loo, Hege G. Russnes, Wei Sun, Bjørn Naume and Ole Christian Lingjærde and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Clinical Oncology.

In The Last Decade

Victor Weigman

21 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Allele-specific copy number analysis of tumors

2010 635 citations Peter Van Loo, Silje Nord et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Victor Weigman United States	11	867	738	545	257	254	23	1.6k
Robert C. Onofrio United States	5	875 1.0×	749 1.0×	376 0.7×	426 1.7×	271 1.1×	5	1.6k
Silje Nord Norway	21	1.1k 1.3×	917 1.2×	566 1.0×	416 1.6×	233 0.9×	40	1.9k
Kerstin Heselmeyer‐Haddad United States	21	717 0.8×	748 1.0×	612 1.1×	362 1.4×	219 0.9×	47	1.7k
Viviane Praz Switzerland	19	1.9k 2.2×	939 1.3×	635 1.2×	262 1.0×	224 0.9×	30	2.6k
Jeremiah A. Wala United States	8	988 1.1×	799 1.1×	321 0.6×	352 1.4×	255 1.0×	12	1.6k
Ray Stefancsik United States	12	1.4k 1.6×	578 0.8×	324 0.6×	438 1.7×	226 0.9×	14	2.1k
Tatiana Popova France	20	1.5k 1.8×	899 1.2×	831 1.5×	532 2.1×	294 1.2×	39	2.4k
Silvana Debernardi United Kingdom	21	1.4k 1.6×	642 0.9×	244 0.4×	256 1.0×	127 0.5×	39	2.1k
Daoud Meerzaman United States	21	1.3k 1.5×	375 0.5×	473 0.9×	176 0.7×	256 1.0×	59	1.9k
Xinmeng Jasmine Mu United States	18	1.3k 1.5×	554 0.8×	511 0.9×	579 2.3×	233 0.9×	41	2.2k

Countries citing papers authored by Victor Weigman

Since Specialization

Citations

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

Fields of papers citing papers by Victor Weigman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victor Weigman

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

All Works

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20 of 20 papers shown

Jackson, Autumn L., William G. Kaelin, K. Brandstetter, et al.. (2020). HIF2alpha cooperates with RAS to promote lung tumorigenesis in mice.. UNC Libraries. 3 indexed citations

Perou, Charles M., Victor Weigman, Jeff C. Liu, et al.. (2020). Rb deletion in mouse mammary progenitors induces luminal-B or basal-like/EMT tumor subtypes depending on p53 status. UNC Libraries. 3 indexed citations

Merino, Diana M., Matt Butler, Vincent Funari, et al.. (2019). TMB standardization by alignment to reference standards: Phase II of the Friends of Cancer Research TMB Harmonization Project.. Journal of Clinical Oncology. 37(15_suppl). 2624–2624. 12 indexed citations

Dyke, T A Van, Victor Weigman, Karen Rasmussen, et al.. (2019). Identification of conserved gene expression features between murine mammary carcinoma models and human breast tumors. UNC Libraries. 1 indexed citations

Schu, Matthew, et al.. (2018). Abstract 2250: Tumor mutational burden: Guidelines for derivation and robustness of measurement. Cancer Research. 78(13_Supplement). 2250–2250. 4 indexed citations

Jasper, Jeff S., Jason Powers, & Victor Weigman. (2018). Abstract 2296: STAR-SEQR: Accurate fusion detection and support for fusion neoantigen applications. Cancer Research. 78(13_Supplement). 2296–2296. 1 indexed citations

Halsey, Thomas A., et al.. (2017). Abstract 5410: Optimization and evaluation of SMART-Seq v4 kit for low input RNA sequencing. Cancer Research. 77(13_Supplement). 5410–5410. 2 indexed citations

Stratford, Jeran K., et al.. (2016). Abstract 5276: Impact of duplicate removal on low frequency NGS somatic variant calling. Cancer Research. 76(14_Supplement). 5276–5276. 2 indexed citations

Bourgon, Richard, Shan Lu, Yibing Yan, et al.. (2014). High-Throughput Detection of Clinically Relevant Mutations in Archived Tumor Samples by Multiplexed PCR and Next-Generation Sequencing. Clinical Cancer Research. 20(8). 2080–2091. 52 indexed citations

10.

Smith, Bradley L., et al.. (2014). Abstract 5187: Feasibility study of genomic biomarker profiling for patients with metastatic colorectal cancer. Cancer Research. 74(19_Supplement). 5187–5187. 1 indexed citations

11.

Powers, Jason, et al.. (2013). Efficient and accurate whole genome assembly and methylome profiling of E. coli. BMC Genomics. 14(1). 675–675. 34 indexed citations

12.

Weigman, Victor, Andrey A. Shabalin, Xiaping He, et al.. (2011). Basal-like Breast cancer DNA copy number losses identify genes involved in genomic instability, response to therapy, and patient survival. Breast Cancer Research and Treatment. 133(3). 865–880. 90 indexed citations

13.

Holbrook, Joanna D., Joel S. Parker, Kathleen T. Gallagher, et al.. (2011). Deep sequencing of gastric carcinoma reveals somatic mutations relevant to personalized medicine. Journal of Translational Medicine. 9(1). 119–119. 74 indexed citations

14.

Jiang, Zhe, Tao Deng, Robert A. Jones, et al.. (2010). Rb deletion in mouse mammary progenitors induces luminal-B or basal-like/EMT tumor subtypes depending on p53 status. Journal of Clinical Investigation. 120(9). 3296–3309. 116 indexed citations

15.

Loo, Peter Van, Silje Nord, Ole Christian Lingjærde, et al.. (2010). Allele-specific copy number analysis of tumors. Proceedings of the National Academy of Sciences. 107(39). 16910–16915. 635 indexed citations breakdown →

16.

Kim, William Y., Samanthi A. Perera, Bing Zhou, et al.. (2009). HIF2α cooperates with RAS to promote lung tumorigenesis in mice. Journal of Clinical Investigation. 119(8). 2160–2170. 120 indexed citations

17.

Shabalin, Andrey A., Victor Weigman, Charles M. Perou, & Andrew B. Nobel. (2009). Finding large average submatrices in high dimensional data. The Annals of Applied Statistics. 3(3). 105 indexed citations

18.

Kim, William Y., Samanthi A. Perera, Bing Zhou, et al.. (2009). HIF2α cooperates with RAS to promote lung tumorigenesis in mice. Journal of Clinical Investigation. 119(10). 3182–3182. 2 indexed citations

19.

Hoadley, Katherine A., Victor Weigman, Huihui Fan, et al.. (2007). EGFR associated expression profiles vary with breast tumor subtype. BMC Genomics. 8(1). 258–258. 222 indexed citations

20.

Eulgem, Thomas, Victor Weigman, John M. McDowell, et al.. (2004). Gene Expression Signatures from Three Genetically Separable Resistance Gene Signaling Pathways for Downy Mildew Resistance . PLANT PHYSIOLOGY. 135(2). 1129–1144. 112 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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