Matan Hofree

13.6k citations
25 papers · 3.1k indexed · 4 hit papers · h-index 18
Topics
Bioinformatics and Genomic Networks (6 papers)Cancer Genomics and Diagnostics (5 papers)Single-cell and spatial transcriptomics (4 papers)

In The Last Decade

Matan Hofree

25 papers receiving 3.1k citations

Hit Papers

Massively parallel single-nucleus RNA-seq with DroNc-seq20132026201720212017201920132017200400600

Peers

Matan Hofree
Comparison fields: 5 of 135
  • Molecular Biology 2.0k
  • Cancer Research 684
  • Oncology 538
  • Pulmonary and Respiratory Medicine 441
  • Immunology 432
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Matan Hofree relative to Joshua Gould United States Joshua Gould's profile →
Citations per field
00.5×1.5×
Joshua Gould · 1×
Citations per year

Countries citing papers authored by Matan Hofree

Since Specialization
Citations

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

Fields of papers citing papers by Matan Hofree

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matan Hofree

This figure shows the co-authorship network connecting the top 25 collaborators of Matan Hofree. A scholar is included among the top collaborators of Matan Hofree 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 Matan Hofree. Matan Hofree 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
#WorkIndexed citations
1 6
2 11
3 170
4 62
5 45
6 60
7
A Cellular Taxonomy of the Bone Marrow Stroma in Homeostasis and Leukemiabreakdown →
558
8 22
9 87
10
Massively parallel single-nucleus RNA-seq with DroNc-seqbreakdown →
630
11
Anatomically and Functionally Distinct Lung Mesenchymal Populations Marked by Lgr5 and Lgr6breakdown →
256
12 29
13 117
14 6
15 90
16 83
17
Network-based stratification of tumor mutationsbreakdown →
539
18 57
19 36
20 44

About Matan Hofree

Matan Hofree is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 25 papers that have together received 3.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Cancer Genomics and Diagnostics (5 papers) and Single-cell and spatial transcriptomics (4 papers). The work is most often cited by research in Cancer Research (684 citations), Molecular Biology (2.0k citations) and Hematology (285 citations). Matan Hofree has collaborated with scholars based in United States, Israel and South Korea. Frequent co-authors include Trey Ideker, Hannah Carter, Andrew M. Gross, John Paul Shen, Aviv Regev, Orit Rozenblatt–Rosen, Han‐Yu Chuang, Anindita Basu, Naomi Habib and Kristin Ardlie. Their work appears in journals such as Science, Cell and Nucleic Acids Research.

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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