Benjamin Sadacca

925 citations
12 papers · 586 · 1 hit paper · h-index 10

Impact in

Papers in

Benjamin Sadacca

12 papers receiving 574 citations

Benjamin Sadacca's Hit Papers

Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen 2019 · 263 citations
2630+2+4Years since publication50100150200250

Peers

Benjamin Sadacca
Comparison fields: 5 of 44
  • Computational Theory and Mathematics 149
  • Cancer Research 80
  • Health Informatics 6
  • Oncology 44
  • Immunology 31
Replace Åsmund Flobak with:
Åsmund Flobak Norway
Lujia Chen United States
Nishanth Ulhas Nair United States
Taylor E. Arnoff United States
Pedro Torres‐Ayuso United States
Lan Zhao United States
Kequan Lin China
Yudong Wang China
Xinhui Wang China
Evert Bosdriesz Netherlands
Benjamin Sadacca relative to Åsmund Flobak Norway Åsmund Flobak's profile →
Citations per field
00.5×2×3.4×
Åsmund Flobak · 1×
Citations per year

Countries citing papers authored by Benjamin Sadacca

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Sadacca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
Hit paper breakdown →
2019263
2 202372
3 201856
4 202356
5 201531
6 201626
7 202421
8 202119
9 201915
10 202311
11 20169
12 20177

About Benjamin Sadacca

Benjamin Sadacca is a scholar working on Cancer Research, Computational Theory and Mathematics, Immunology, Oncology and Molecular Biology, having authored 12 papers that have together received 586 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (4 papers), Computational Drug Discovery Methods (2 papers), RNA Research and Splicing (2 papers), Immunotherapy and Immune Responses (1 paper), Cancer Genomics and Diagnostics (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Computational Theory and Mathematics (149 citations), Cancer Research (80 citations), Health Informatics (6 citations), Oncology (44 citations) and Immunology (31 citations). Benjamin Sadacca has collaborated with scholars based in France, United States and Réunion. Frequent co-authors include Fabien Reyal, Hélène Bonsang‐Kitzis, Anne‐Sophie Hamy, Cécile Laurent, Matahi Moarii, Marick E Lae, Véronique Becette, Lauren Darrigues, Alain Livartowski and Anne Vincent‐Salomon. Their work appears in journals such as Science Immunology, OncoImmunology, PLoS ONE, Cell and Nature Communications.

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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