Elsa Quintana

5.5k total citations · 2 hit papers
40 papers, 3.5k citations indexed

About

Elsa Quintana is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Elsa Quintana has authored 40 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 12 papers in Immunology and 11 papers in Molecular Biology. Recurrent topics in Elsa Quintana's work include Nitric Oxide and Endothelin Effects (6 papers), Neuropeptides and Animal Physiology (6 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Elsa Quintana is often cited by papers focused on Nitric Oxide and Endothelin Effects (6 papers), Neuropeptides and Animal Physiology (6 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Elsa Quintana collaborates with scholars based in United States, Spain and Australia. Elsa Quintana's co-authors include Sean J. Morrison, Mark Shackleton, Timothy M. Johnson, Douglas R. Fullen, Michael S. Sabel, Eric R. Fearon, Hannah R. Foster, Gabriel Núñez, Nancy M. Joseph and Shenghui He and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Elsa Quintana

37 papers receiving 3.4k citations

Hit Papers

Efficient tumour formation by single human melanoma cells 2008 2026 2014 2020 2008 2009 400 800 1.2k

Peers

Elsa Quintana
Comparison fields: 5 of 116
  • Oncology 2.1k
  • Molecular Biology 1.6k
  • Cancer Research 964
  • Immunology 546
  • Cell Biology 354
Replace Peter Jung with:
Peter Jung Germany
Yohei Shimono Japan
Diego Megı́as Spain
David Jin United States
Ugo Cavallaro Italy
John J. Tentler United States
Robert R. Langley United States
Diwakar R. Pattabiraman United States
Rebecca S. Cook United States
Peter Jung Germany View profile →
Citations per field, relative to Elsa Quintana
Elsa Quintana · 1×
Citations per year, relative to Elsa Quintana
Elsa Quintana · 1×

Countries citing papers authored by Elsa Quintana

Since Specialization
Citations

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

Fields of papers citing papers by Elsa Quintana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elsa Quintana

This figure shows the co-authorship network connecting the top 25 collaborators of Elsa Quintana. A scholar is included among the top collaborators of Elsa Quintana 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 Elsa Quintana. Elsa Quintana 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
# Work Indexed citations
1 0
2 1
3 9
4 1
5 5
6 1
7 69
8 31
9 43
10 42
11 193
12 446
13 14
14
Heterogeneity in Cancer: Cancer Stem Cells versus Clonal Evolution breakdown →
871
15
Efficient tumour formation by single human melanoma cells breakdown →
1327
16 0
17 5
18 5
19 35
20 25

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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