Gonzalo Torga

996 total citations
24 papers, 668 citations indexed

About

Gonzalo Torga is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Gonzalo Torga has authored 24 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Oncology and 9 papers in Cancer Research. Recurrent topics in Gonzalo Torga's work include Mathematical Biology Tumor Growth (5 papers), Cancer Genomics and Diagnostics (5 papers) and Microtubule and mitosis dynamics (4 papers). Gonzalo Torga is often cited by papers focused on Mathematical Biology Tumor Growth (5 papers), Cancer Genomics and Diagnostics (5 papers) and Microtubule and mitosis dynamics (4 papers). Gonzalo Torga collaborates with scholars based in United States, United Kingdom and China. Gonzalo Torga's co-authors include Kenneth J. Pienta, Robert H. Austin, Sarah R. Amend, Angelo De Marzo, James R. Hernandez, Steven M. Mooney, James E. Verdone, James C. Sturm, Ulf D. Kahlert and Jessie Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Oncogene.

In The Last Decade

Gonzalo Torga

23 papers receiving 660 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gonzalo Torga United States 11 327 326 229 157 132 24 668
Julia Mitschke Germany 6 545 1.7× 351 1.1× 464 2.0× 99 0.6× 93 0.7× 7 890
Christopher R. Shepard United States 4 412 1.3× 190 0.6× 411 1.8× 112 0.7× 85 0.6× 4 735
Danielle Murphy United States 5 549 1.7× 308 0.9× 641 2.8× 132 0.8× 120 0.9× 13 935
Peter Čamaj Germany 16 507 1.6× 279 0.9× 355 1.6× 78 0.5× 53 0.4× 22 788
Yvonne Chao United States 8 528 1.6× 192 0.6× 397 1.7× 154 1.0× 154 1.2× 11 881
Christopher H. Chay United States 10 332 1.0× 155 0.5× 316 1.4× 189 1.2× 55 0.4× 26 737
Ensel Oh South Korea 17 397 1.2× 263 0.8× 323 1.4× 247 1.6× 35 0.3× 26 806
David J. Konieczkowski United States 8 523 1.6× 117 0.4× 257 1.1× 112 0.7× 106 0.8× 39 779
Ruhong Li China 9 299 0.9× 192 0.6× 192 0.8× 43 0.3× 128 1.0× 10 544
Rosanna Lacalamita Italy 15 358 1.1× 233 0.7× 223 1.0× 97 0.6× 56 0.4× 30 647

Countries citing papers authored by Gonzalo Torga

Since Specialization
Citations

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

Fields of papers citing papers by Gonzalo Torga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gonzalo Torga

This figure shows the co-authorship network connecting the top 25 collaborators of Gonzalo Torga. A scholar is included among the top collaborators of Gonzalo Torga 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 Gonzalo Torga. Gonzalo Torga 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.
Weekes, Daniel, Helen N. Pemberton, Kathryn Davidson, et al.. (2022). Functional screening reveals HORMAD1-driven gene dependencies associated with translesion synthesis and replication stress tolerance. Oncogene. 41(32). 3969–3977. 9 indexed citations
3.
Morelli, Cristina, et al.. (2021). BRAF/MEK inhibitors for BRAF V600E-mutant cancers in non-approved setting: a case series. Cancer Chemotherapy and Pharmacology. 87(3). 437–441. 7 indexed citations
4.
Kang, K.B., et al.. (2021). High KIFC1 expression is associated with poor prognosis in prostate cancer. Medical Oncology. 38(5). 47–47. 20 indexed citations
5.
Fontana, Elisa, et al.. (2020). Recent Progress in the Systemic Treatment of Advanced/Metastatic Cholangiocarcinoma. Cancers. 12(9). 2599–2599. 32 indexed citations
6.
Sun, Yusha, Gonzalo Torga, Yihua Zhao, et al.. (2020). Anin vitrotumor swamp model of heterogeneous cellular and chemotherapeutic landscapes. Lab on a Chip. 20(14). 2453–2464. 7 indexed citations
7.
Nickel, Ann‐Christin, Daniel Picard, Gonzalo Torga, et al.. (2020). Abstract 1929: A confirmatory study to probe the reproducibility of cancer cell lines as lab tools to identify molecular subtype-specific therapies and therapeutic targets against glioblastoma stem-like cells. Cancer Research. 80(16_Supplement). 1929–1929. 1 indexed citations
8.
9.
Torga, Gonzalo, Yusha Sun, Robert Axelrod, et al.. (2019). The role of heterogeneous environment and docetaxel gradient in the emergence of polyploid, mesenchymal and resistant prostate cancer cells. Clinical & Experimental Metastasis. 36(2). 97–108. 56 indexed citations
10.
Torga, Gonzalo, Yafu Yin, Martin G. Pomper, et al.. (2019). Uptake of prostate-specific membrane antigen-targeted 18F-DCFPyL in avascular necrosis of the femoral head. SHILAP Revista de lepidopterología. 18(4). 416–419. 2 indexed citations
11.
Valkenburg, Kenneth C., Sarah R. Amend, Jessica Hicks, et al.. (2018). AXL Is a Putative Tumor Suppressor and Dormancy Regulator in Prostate Cancer. Molecular Cancer Research. 17(2). 356–369. 40 indexed citations
12.
Torga, Gonzalo, et al.. (2018). The Emergence of Polyploid Giant Cancer Cells as the Reservoir of Theraputic Resistance. Bulletin of the American Physical Society. 2018. 1 indexed citations
13.
Johng, Dorhyun, Gonzalo Torga, Charles M. Ewing, et al.. (2018). HOXB13 interaction with MEIS1 modifies proliferation and gene expression in prostate cancer. The Prostate. 79(4). 414–424. 34 indexed citations
14.
Wu, Amy, David Liao, Gonzalo Torga, et al.. (2018). Cancer dormancy and criticality from a game theory perspective. SHILAP Revista de lepidopterología. 2(1). 1–1. 4 indexed citations
15.
Torga, Gonzalo & Kenneth J. Pienta. (2017). Abstract 3909: Investigating the role of ANXA2R in metastatic prostate cancer. Cancer Research. 77(13_Supplement). 3909–3909.
16.
Torga, Gonzalo, Amy Wu, Joshua D. Rabinowitz, et al.. (2017). Epithelial and mesenchymal prostate cancer cell population dynamics on a complex drug landscape. PubMed. 3(4). 45001–45001. 11 indexed citations
17.
Torga, Gonzalo & Kenneth J. Pienta. (2017). Patient-Paired Sample Congruence Between 2 Commercial Liquid Biopsy Tests. JAMA Oncology. 4(6). 868–868. 121 indexed citations
18.
Torga, Gonzalo, et al.. (2015). Rare Renal Incidentaloma in Pregnancy: An Unusual Primitive Neuroectodermal Tumor Presentation. SHILAP Revista de lepidopterología. 3(2). 12–14. 3 indexed citations
19.
Hernandez, James R., John J. Kim, James E. Verdone, et al.. (2015). Alternative CD44 splicing identifies epithelial prostate cancer cells from the mesenchymal counterparts. Medical Oncology. 32(5). 159–159. 19 indexed citations
20.
Mooney, Steven M., Princy Parsana, James R. Hernandez, et al.. (2014). The Presence of Androgen Receptor Elements Regulates ZEB1 Expression in the Absence of Androgen Receptor. Journal of Cellular Biochemistry. 116(1). 115–123. 17 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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