Gemma Pidelaserra-Martí

883 citations
7 papers · 630 indexed · h-index 6
Topics
Virus-based gene therapy research (4 papers)Immunotherapy and Immune Responses (4 papers)T-cell and B-cell Immunology (3 papers)

In The Last Decade

Gemma Pidelaserra-Martí

7 papers receiving 593 citations

Peers

Gemma Pidelaserra-Martí
Comparison fields: 5 of 62
  • Immunology 349
  • Radiology, Nuclear Medicine and Imaging 149
  • Public Health, Environmental and Occupational Health 142
  • Oncology 135
  • Molecular Biology 129
Replace Fatena Bellahcene with:
Fatena Bellahcene France
Eleanor L. Marshall United States
Jordana Griffiths United Kingdom
Sean C. Yoder United States
Shana Frederickson United States
Magdalena A. Berkowska Netherlands
W L Carroll United States
GJ Silverman United States
Linda Mark Sweden
Nataly Manjarrez‐Orduño United States
Gemma Pidelaserra-Martí relative to Fatena Bellahcene France Fatena Bellahcene's profile →
Citations per field
00.5×4.7×
Fatena Bellahcene · 1×
Citations per year

Countries citing papers authored by Gemma Pidelaserra-Martí

Since Specialization
Citations

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

Fields of papers citing papers by Gemma Pidelaserra-Martí

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gemma Pidelaserra-Martí. 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 Gemma Pidelaserra-Martí. The network helps show where Gemma Pidelaserra-Martí may publish in the future.

Co-authorship network of co-authors of Gemma Pidelaserra-Martí

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 5
2 13
3 33
4 13
5 87
6 64
7 415

About Gemma Pidelaserra-Martí

Gemma Pidelaserra-Martí is a scholar working on Immunology, Endocrinology and Genetics, having authored 7 papers that have together received 630 indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), Immunotherapy and Immune Responses (4 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Immunology (349 citations), Genetics (88 citations) and Hematology (91 citations). Gemma Pidelaserra-Martí has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Lee M. Nadler, K. C. Anderson, Michael Bates, S F Schlossman, J F Daley, Christine E. Engeland, Hedda Wardemann, Giulia Costa, Gianna Triller and Benjamin Mordmüller. Their work appears in journals such as Science, The Journal of Immunology and Frontiers in Immunology.

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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