David Gallardo

3.6k total citations
112 papers, 2.1k citations indexed

About

David Gallardo is a scholar working on Hematology, Immunology and Genetics. According to data from OpenAlex, David Gallardo has authored 112 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Hematology, 29 papers in Immunology and 28 papers in Genetics. Recurrent topics in David Gallardo's work include Hematopoietic Stem Cell Transplantation (26 papers), T-cell and B-cell Immunology (16 papers) and Acute Myeloid Leukemia Research (15 papers). David Gallardo is often cited by papers focused on Hematopoietic Stem Cell Transplantation (26 papers), T-cell and B-cell Immunology (16 papers) and Acute Myeloid Leukemia Research (15 papers). David Gallardo collaborates with scholars based in Spain, Mexico and United States. David Gallardo's co-authors include Marcel Amills, Ramona N. Pena, Joseph C. Poen, Dennis J. Slamon, Richard J. Pietras, Óscar Ramírez, Raquel Quintanilla, William H. McBride, Isabel Dı́az and Salut Brunet and has published in prestigious journals such as Nature Genetics, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

David Gallardo

107 papers receiving 2.1k citations

Peers

David Gallardo
Comparison fields: 5 of 114
  • Molecular Biology 558
  • Oncology 557
  • Genetics 501
  • Hematology 492
  • Immunology 391
Replace Yu‐Chung Yang with:
Yu‐Chung Yang United States
Janis Racevskis United States
AM Gianni Italy
Debes Hammershaimb Christiansen Denmark
G H Fey United States
Bruce D. Hultgren United States
Kirsty Moore United Kingdom
William Tapper United Kingdom
Camille N. Abboud United States
Clarissa Uhlar United States
Yu‐Chung Yang United States View profile →
Citations per field, relative to David Gallardo
David Gallardo · 1×
Citations per year, relative to David Gallardo
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Countries citing papers authored by David Gallardo

Since Specialization
Citations

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

Fields of papers citing papers by David Gallardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Gallardo

This figure shows the co-authorship network connecting the top 25 collaborators of David Gallardo. A scholar is included among the top collaborators of David Gallardo 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 David Gallardo. David Gallardo 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
# Work Indexed citations
1 0
2 0
3 1
4 5
5 1
6 14
7 5
8 8
9 4
10 38
11 11
12 47
13 24
14 46
15 11
16 4
17 16
18
Monoclonal antibody to HER-2/neureceptor modulates repair of radiation-induced DNA damage and enhances radiosensitivity of human breast cancer cells overexpressing this oncogene.
238
19 90
20 13

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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