Gonzalo Torga

996 citations
24 papers · 668 indexed · h-index 11
Topics
Mathematical Biology Tumor Growth (5 papers)Cancer Genomics and Diagnostics (5 papers)Microtubule and mitosis dynamics (4 papers)
Journals
SHILAP Revista de lepidopterologíaCancer ResearchOncogene

In The Last Decade

Gonzalo Torga

23 papers receiving 660 citations

Peers

Gonzalo Torga
Comparison fields: 5 of 70
  • Molecular Biology 327
  • Cancer Research 326
  • Oncology 229
  • Pulmonary and Respiratory Medicine 157
  • Cell Biology 132
Replace Yvonne Chao with:
Yvonne Chao United States
Christopher R. Shepard United States
Sylvie André Switzerland
Carman Man-Chung Li United States
Danielle Murphy United States
Daniëlle Seinstra Netherlands
Deepti P. Wilks United Kingdom
Reyno Del Rosario United States
Julia Mitschke Germany
Karel Zitterbart Czechia
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Citations per field
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Yvonne Chao · 1×
Citations per year

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
#WorkIndexed citations
1 9
2 5
3 7
4 20
5 7
6 1
7 32
8 3
9 56
10 2
11 40
12
The Emergence of Polyploid Giant Cancer Cells as the Reservoir of Theraputic Resistance
1
13 34
14 4
15 0
16 11
17 121
18 19
19 3
20 17

About Gonzalo Torga

Gonzalo Torga is a scholar working on Modeling and Simulation, Cancer Research and Oncology, having authored 24 papers that have together received 668 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (5 papers), Cancer Genomics and Diagnostics (5 papers) and Microtubule and mitosis dynamics (4 papers). The work is most often cited by research in Cancer Research (326 citations), Oncology (229 citations) and Cell Biology (132 citations). Gonzalo Torga has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Kenneth J. Pienta, Robert H. Austin, Sarah R. Amend, Angelo De Marzo, James E. Verdone, James R. Hernandez, Steven M. Mooney, James C. Sturm, Ulf D. Kahlert and Robert A. Gatenby. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer Research and Oncogene.

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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