Daniel Gadala-Maria

1.9k citations
5 papers · 836 indexed · 1 hit paper · h-index 5
Topics
T-cell and B-cell Immunology (5 papers)Immune Cell Function and Interaction (2 papers)Monoclonal and Polyclonal Antibodies Research (2 papers)

In The Last Decade

Daniel Gadala-Maria

5 papers receiving 831 citations

Hit Papers

Change-O: a toolkit for analyzing large-scale B cell immu...20152026201820222015100200300400

Peers

Daniel Gadala-Maria
Comparison fields: 5 of 68
  • Immunology 616
  • Molecular Biology 344
  • Radiology, Nuclear Medicine and Imaging 259
  • Infectious Diseases 71
  • Oncology 70
Replace Namita T. Gupta with:
Namita T. Gupta United States
Géraldine Folch France
Fatena Bellahcene France
Georg Malcherek Germany
Eleanor L. Marshall United States
GJ Silverman United States
Wissam Charab United States
Olivia Hatton United States
Jana R. Hermes Australia
Ruby Quartey‐Papafio United Kingdom
Daniel Gadala-Maria relative to Namita T. Gupta United States Namita T. Gupta's profile →
Citations per field
00.5×1.6×
Namita T. Gupta · 1×
Citations per year

Countries citing papers authored by Daniel Gadala-Maria

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Gadala-Maria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Gadala-Maria. 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 Daniel Gadala-Maria. The network helps show where Daniel Gadala-Maria may publish in the future.

Co-authorship network of co-authors of Daniel Gadala-Maria

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

All Works

5 of 5 papers shown
#WorkIndexed citations
1 43
2 93
3 136
4
Change-O: a toolkit for analyzing large-scale B cell immunoglobulin repertoire sequencing databreakdown →
422
5 142

About Daniel Gadala-Maria

Daniel Gadala-Maria is a scholar working on Immunology, Genetics and Hematology, having authored 5 papers that have together received 836 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Immunology (616 citations), Radiology, Nuclear Medicine and Imaging (259 citations) and Virology (43 citations). Daniel Gadala-Maria has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Steven H. Kleinstein, Gur Yaari, Mohamed Uduman, Jason A. Vander Heiden, Namita T. Gupta, Kevin C. O’Connor, Joel N. H. Stern, François Vigneault, Namita Gupta and Uri Laserson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Bioinformatics.

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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