María Alieva

1.8k citations
22 papers · 1.0k indexed · 1 hit paper · h-index 14
Topics
Single-cell and spatial transcriptomics (5 papers)Mesenchymal stem cell research (5 papers)Cell Image Analysis Techniques (5 papers)
Partner nations
NetherlandsSpainGermany

In The Last Decade

María Alieva

21 papers receiving 1.0k citations

Hit Papers

High-resolution 3D imaging of fixed and cleared organoids20192026202120232019100200300

Peers

María Alieva
Comparison fields: 5 of 102
  • Molecular Biology 357
  • Biomedical Engineering 346
  • Oncology 308
  • Biophysics 144
  • Surgery 142
Replace Theresa A. Ulrich with:
Theresa A. Ulrich United States
Vera B. Dugina Russia
Jennifer M. Munson United States
Keren Ziv Israel
Milan Ešner Czechia
Olga Ilina Netherlands
Cynthia Hajal United States
Yan Ma United States
Pascale Monzo France
J. Matthew Barnes United States
María Alieva relative to Theresa A. Ulrich United States Theresa A. Ulrich's profile →
Citations per field
00.5×1.5×2.0×
Theresa A. Ulrich · 1×
Citations per year

Countries citing papers authored by María Alieva

Since Specialization
Citations

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

Fields of papers citing papers by María Alieva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María Alieva

This figure shows the co-authorship network connecting the top 25 collaborators of María Alieva. A scholar is included among the top collaborators of María Alieva 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 María Alieva. María Alieva 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 0
2 1
3 9
4 32
5 12
6 19
7 23
8 1
9
High-resolution 3D imaging of fixed and cleared organoidsbreakdown →
360
10 76
11 152
12 41
13 7
14 129
15 29
16 12
17 25
18 18
19 41
20 23

About María Alieva

María Alieva is a scholar working on Biophysics, Genetics and Behavioral Neuroscience, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Mesenchymal stem cell research (5 papers) and Cell Image Analysis Techniques (5 papers). The work is most often cited by research in Biophysics (144 citations), Genetics (141 citations) and Oncology (308 citations). María Alieva has collaborated with scholars based in Netherlands, Spain and Germany. Frequent co-authors include Jacco van Rheenen, Marike L. D. Broekman, Anne C. Rios, Ellen J. Wehrens, Johanna F. Dekkers, Laila Ritsma, Randy J. Giedt, Ralph Weissleder, Hans Clevers and Hendrikus C. R. Ariese. Their work appears in journals such as Nature reviews. Cancer, The EMBO Journal and Nature Biotechnology.

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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