Daniel J. Kunz

1.4k total citations
5 papers, 189 citations indexed

About

Daniel J. Kunz is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Daniel J. Kunz has authored 5 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Oncology and 1 paper in Genetics. Recurrent topics in Daniel J. Kunz's work include Single-cell and spatial transcriptomics (4 papers), Cancer Cells and Metastasis (2 papers) and Cancer Genomics and Diagnostics (1 paper). Daniel J. Kunz is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Cancer Cells and Metastasis (2 papers) and Cancer Genomics and Diagnostics (1 paper). Daniel J. Kunz collaborates with scholars based in United Kingdom, United States and Australia. Daniel J. Kunz's co-authors include Tomás Gomes, Kylie R. James, J. Jotautas Baronas, Philipp Braeuninger‐Weimer, Maximilian R. Stammnitz, Lara Urban, Susannah J. Salter, Daniel E. Martin‐Herranz, Michael B. Hall and Michael J. Scherm and has published in prestigious journals such as Nature Communications, Nature Genetics and Nature Methods.

In The Last Decade

Daniel J. Kunz

5 papers receiving 188 citations

Peers

Daniel J. Kunz

MB

ECOLO

CR

ONCOL

IMMUN

Samantha L. Goldman United States

Shaun Carswell Australia

Kyung Hoi Min United States

Joana Petrescu United States

Laraib Malik United States

Christopher J. Conley United States

Karina Jouravleva United States

Marcel Tarbier Sweden

Timothy Wilkes United Kingdom

Anne-Laure Finoux France

Samantha L. Goldman United States

Daniel J. Kunz

133 ×1.0

MB

17 ×0.4

ECOLO

31 ×0.8

CR

16 ×0.5

ONCOL

20 ×0.6

IMMUN

Citations per year, relative to Daniel J. Kunz Daniel J. Kunz (= 1×) peers Samantha L. Goldman

Countries citing papers authored by Daniel J. Kunz

Since Specialization

Citations

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

Fields of papers citing papers by Daniel J. Kunz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Kunz

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

All Works

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5 of 5 papers shown

1.

Pensa, Sara, Adi Steif, Daniel J. Kunz, et al.. (2024). A single-cell atlas enables mapping of homeostatic cellular shifts in the adult human breast. Nature Genetics. 56(4). 652–662. 30 indexed citations

2.

Kunz, Daniel J., Ibrahim El-Hamamy, Quang M. Trinh, et al.. (2022). A brain precursor atlas reveals the acquisition of developmental-like states in adult cerebral tumours. Nature Communications. 13(1). 4178–4178. 19 indexed citations

3.

Urban, Lara, Andre Holzer, J. Jotautas Baronas, et al.. (2021). Freshwater monitoring by nanopore sequencing. eLife. 10. 75 indexed citations

4.

McCarthy, Davis J., Raghd Rostom, Yuanhua Huang, et al.. (2020). Cardelino: computational integration of somatic clonal substructure and single-cell transcriptomes. Nature Methods. 17(4). 414–421. 34 indexed citations

5.

Kunz, Daniel J., Tomás Gomes, & Kylie R. James. (2018). Immune Cell Dynamics Unfolded by Single-Cell Technologies. Frontiers in Immunology. 9. 1435–1435. 31 indexed citations

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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