Cristina Pina

3.2k citations
32 papers · 1.6k indexed · h-index 19
  • Hematology top 5%
    • Acute Myeloid Leukemia Research 11
    • Hematopoietic Stem Cell Transplantation 5
    • Genomics and Chromatin Dynamics 11
    • Single-cell and spatial transcriptomics 8
    • Epigenetics and DNA Methylation 6
    • Gene Regulatory Network Analysis 5
    • CRISPR and Genetic Engineering 5
    • Zebrafish Biomedical Research Applications 4
  • Biophysics top 5%

Cristina Pina

32 papers receiving 1.6k citations

Peers

Cristina Pina
Comparison fields: 5 of 100
  • Hematology 243
  • Molecular Biology 1.3k
  • Cell Biology 234
  • Biophysics 62
  • Plant Science 397
Replace Eugenio Marco with:
Eugenio Marco United States
Jonathan E. Henninger United States
Sarah Bowling United States
Supat Thongjuea United Kingdom
Lauren Ferreira United Kingdom
Benjamin D. Rowland Netherlands
Matthias Muhar Austria
Suzana Hadjur United Kingdom
Alicia N. Schep United States
Tobias Neumann Austria
Cristina Pina relative to Eugenio Marco United States Eugenio Marco's profile →
Citations per field
00.5×3.7×
Eugenio Marco · 1×
Citations per year

Countries citing papers authored by Cristina Pina

Since Specialization
Citations

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

Fields of papers citing papers by Cristina Pina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Cristina Pina, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cristina Pina Line = papers co-authored together Cristina Pina links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20254
3 20244
4 20231
5 20223
6 20226
7 20222
8 202110
9 202125
10 202019
11 201919
12 2016276
13 201549
14 201342
15 2013145
16 201358
17 201147
18 200854
19 200720
20 200163

About Cristina Pina

Cristina Pina is a scholar working on Hematology, Molecular Biology and Immunology, having authored 32 papers that have together received 1.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (11 papers), Genomics and Chromatin Dynamics (11 papers), Single-cell and spatial transcriptomics (8 papers), Epigenetics and DNA Methylation (6 papers), Gene Regulatory Network Analysis (5 papers), CRISPR and Genetic Engineering (5 papers), Hematopoietic Stem Cell Transplantation (5 papers) and Zebrafish Biomedical Research Applications (4 papers). The work is most often cited by research in Hematology (243 citations), Molecular Biology (1.3k citations) and Cell Biology (234 citations). Cristina Pina has collaborated with scholars based in United Kingdom, Sweden and Italy. Frequent co-authors include Francisco Pinto, José A. Feijó, Jörg D. Becker, Naomi Moris, Alfonso Martínez Arias, Tariq Enver, Shamit Soneji, José Teles, Carsten Peterson and Alex J. Tipping. Their work appears in journals such as Nature Communications, Blood and Nature Cell Biology.

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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