John J. Trombetta

20.4k citations
12 papers · 7.5k indexed · 3 hit papers · h-index 10
Topics
Single-cell and spatial transcriptomics (7 papers)Cancer-related molecular mechanisms research (3 papers)RNA Research and Splicing (3 papers)

In The Last Decade

John J. Trombetta

12 papers receiving 7.4k citations

Hit Papers

Highly Parallel Genome-wide Expression Profiling of Indiv...201320262017202120152013201410002.0k3.0k4.0k

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
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John J. Trombetta relative to Itay Tirosh Israel Itay Tirosh's profile →
Citations per field
00.5×1.5×
Itay Tirosh · 1×
Citations per year

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
#WorkIndexed citations
1 152
2 382
3 1
4
Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Dropletsbreakdown →
4566
5 225
6 186
7
In vivo interrogation of gene function in the mammalian brain using CRISPR-Cas9breakdown →
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 cellsbreakdown →
853
12 101

About John J. Trombetta

John J. Trombetta is a scholar working on Cancer Research, Biophysics and Molecular Biology, having authored 12 papers that have together received 7.5k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (7 papers), Cancer-related molecular mechanisms research (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Biophysics (599 citations), Cancer Research (1.3k citations) and Molecular Biology (5.7k citations). John J. Trombetta has collaborated with scholars based in United States, Sweden and Canada. Frequent 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. Their work appears in journals such as Nature, Science and Cell.

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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