John J. Trombetta

20.4k total citations · 3 hit papers
12 papers, 7.5k citations indexed

About

John J. Trombetta is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, John J. Trombetta has authored 12 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Immunology. Recurrent topics in John J. Trombetta's work include Single-cell and spatial transcriptomics (7 papers), Cancer-related molecular mechanisms research (3 papers) and RNA Research and Splicing (3 papers). John J. Trombetta is often cited by papers focused on Single-cell and spatial transcriptomics (7 papers), Cancer-related molecular mechanisms research (3 papers) and RNA Research and Splicing (3 papers). John J. Trombetta collaborates with scholars based in United States, Sweden and Canada. John J. Trombetta's co-authors include Aviv Regev, Alex K. Shalek, Rahul Satija, Itay Tirosh, Anindita Basu, Steven A. McCarroll, Joshua R. Sanes, James Nemesh, Melissa Goldman and Nolan Kamitaki and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

John J. Trombetta

12 papers receiving 7.4k citations

Hit Papers

Highly Parallel Genome-wide Expression Profiling of Indiv... 2013 2026 2017 2021 2015 2013 2014 1000 2.0k 3.0k 4.0k

Peers

John J. Trombetta
Comparison fields: 5 of 163
  • Molecular Biology 5.7k
  • Immunology 1.4k
  • Cancer Research 1.3k
  • Biomedical Engineering 759
  • Oncology 638
Replace Anindita Basu with:
Anindita Basu United States
Karthik Shekhar United States
Omid R. Faridani Sweden
Thierry Voet Belgium
Itay Tirosh Israel
Åsa K. Björklund Sweden
Paul Robson United States
Simone Picelli Sweden
Barbara Treutlein Germany
Marlon Stoeckius United States
Anindita Basu United States View profile →
Citations per field, relative to John J. Trombetta
John J. Trombetta · 1×
Citations per year, relative to John J. Trombetta
John J. Trombetta · 1×

Countries citing papers authored by John J. Trombetta

Since Specialization
Citations

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

Fields of papers citing papers by John J. Trombetta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John J. Trombetta. 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 John J. Trombetta. The network helps show where John J. Trombetta may publish in the future.

Co-authorship network of co-authors of John J. Trombetta

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

All Works

12 of 12 papers shown
# Work Indexed citations
1 152
2 382
3 1
4
Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets breakdown →
4566
5 225
6 186
7
In vivo interrogation of gene function in the mammalian brain using CRISPR-Cas9 breakdown →
608
8 173
9 262
10
Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells
1
11
Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells breakdown →
853
12 101

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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