Sara Ballester

958 citations
26 papers · 838 · h-index 15

Impact in

  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research
    • Bacterial Genetics and Biotechnology
  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction

Papers in

Sara Ballester

25 papers receiving 825 citations

Peers

Sara Ballester
Comparison fields: 5 of 77
  • Genetics 178
  • Immunology 242
  • Molecular Medicine 38
  • Pathology and Forensic Medicine 98
  • Molecular Biology 399
Replace Angeline Reboul with:
Angeline Reboul France
Stefan L. Karlsson United States
Taku Naito Japan
Tamara C. Pozos United States
Alexandra Martins Portugal
Madiha Derouazi Switzerland
Jürgen Neumann Germany
Xiaoyuan He China
Sonia I. Barroso Spain
Vernon L. Mar United States
Sara Ballester relative to Angeline Reboul France Angeline Reboul's profile →
Citations per field
00.5×2×2.8×
Angeline Reboul · 1×
Citations per year

Countries citing papers authored by Sara Ballester

Since Specialization
Citations

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

Fields of papers citing papers by Sara Ballester

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sara Ballester, 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 Sara Ballester Line = papers co-authored together Sara Ballester links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004210
2 199365
3 200958
4 198653
5 200853
6 201347
7 198942
8 201639
9 200738
10 199028
11 199227
12 199427
13 200526
14 199726
15 199519
16 199815
17 200313
18 199712
19 200212
20 202210

About Sara Ballester

Sara Ballester is a scholar working on Immunology, Molecular Medicine, Molecular Biology, Genetics and Oncology, having authored 26 papers that have together received 838 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers), RNA and protein synthesis mechanisms (4 papers), Bacterial Genetics and Biotechnology (3 papers), NF-κB Signaling Pathways (3 papers), Antibiotic Resistance in Bacteria (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Phosphodiesterase function and regulation (3 papers). The work is most often cited by research in Genetics (178 citations), Immunology (242 citations), Molecular Medicine (38 citations), Pathology and Forensic Medicine (98 citations) and Molecular Biology (399 citations). Sara Ballester has collaborated with scholars based in Spain, Germany and United States. Frequent co-authors include Manuel Espinosa, Francisco M. Martín-Saavedra, Beatriz Bravo, Paloma López, Juan C. Alonso, Antonio José Sánchez, Coral González‐García, Juan Antonio Vargas, A Durántez and Jose Antonio Garcia-Marco. Their work appears in journals such as Molecular Immunology, The Journal of Immunology, Gene, Journal of Neuroimmunology and Stem Cell Research & Therapy.

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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