Paula Nieto

1.1k citations
9 papers · 466 indexed · 1 hit paper · h-index 5
Topics
Immune cells in cancer (2 papers)RNA Research and Splicing (2 papers)interferon and immune responses (1 paper)
Partner nations
SpainGermanyArgentina

In The Last Decade

Paula Nieto

8 papers receiving 462 citations

Hit Papers

SPOTlight: seeded NMF regression to deconvolute spatial t...20212026202220242021100200300

Peers

Paula Nieto
Comparison fields: 5 of 58
  • Molecular Biology 390
  • Immunology 115
  • Biophysics 77
  • Cancer Research 73
  • Public Health, Environmental and Occupational Health 55
Replace Takahiro Asatsuma with:
Takahiro Asatsuma Australia
Veronika R. Kedlian United Kingdom
David DeTomaso United States
Chantriolnt-Andreas Kapourani United Kingdom
Bernhard Reuter Germany
Palak Patel Canada
Hiroaki Ayabe Japan
Kristof Wing Australia
Lydia Hopp Germany
Erin E. Swinstead United States
Paula Nieto relative to Takahiro Asatsuma Australia Takahiro Asatsuma's profile →
Citations per field
00.5×11.8×
Takahiro Asatsuma · 1×
Citations per year

Countries citing papers authored by Paula Nieto

Since Specialization
Citations

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

Fields of papers citing papers by Paula Nieto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paula Nieto

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 0
2 4
3 1
4
SPOTlight: seeded NMF regression to deconvolute spatial transcriptomics spots with single-cell transcriptomesbreakdown →
379
5 67
6 7
7 1
8
The inhibitory effect of ionizing radiation on Fc and C3 receptors on mouse and human leukocytes, and the protective potential of human albumin.
2
9
Detection of minimal residual disease in acute myelogenous leukemia by RNA-in situ hybridization.
5

About Paula Nieto

Paula Nieto is a scholar working on Immunology, Endocrine and Autonomic Systems and Hematology, having authored 9 papers that have together received 466 indexed citations. Recurring topics across this work include Immune cells in cancer (2 papers), RNA Research and Splicing (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Biophysics (77 citations), Aging (13 citations) and Molecular Biology (390 citations). Paula Nieto has collaborated with scholars based in Spain, Germany and Argentina. Frequent co-authors include Holger Heyn, Marc Elosua-Bayés, Marta Gut, Elisabetta Mereu, Montserrat Barragán, Patricia Lorden, Sara Ruiz, Bernhard Payer, Filippo Zambelli and Rita Vassena. Their work appears in journals such as Nucleic Acids Research, Nature Communications and PLoS ONE.

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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