Michael Hagemann-Jensen

2.7k citations
31 papers · 1.5k indexed · 1 hit paper · h-index 16
Topics
Single-cell and spatial transcriptomics (10 papers)RNA Research and Splicing (8 papers)Cancer-related molecular mechanisms research (7 papers)

In The Last Decade

Michael Hagemann-Jensen

30 papers receiving 1.5k citations

Hit Papers

Single-cell RNA counting at allele and isoform resolution...20202026202220242020100200300400

Peers

Michael Hagemann-Jensen
Comparison fields: 5 of 98
  • Molecular Biology 1.2k
  • Cancer Research 426
  • Immunology 255
  • Oncology 126
  • Genetics 108
Replace Alan J. Simmons with:
Alan J. Simmons United States
Luz García‐Alonso United Kingdom
Melinda Halász Ireland
Rhonda Bacher United States
Ivan Yevshin Russia
Michaël Schubert Netherlands
Derren Barken United States
Luca Albergante United Kingdom
Archibald Enninful United States
Nongluk Plongthongkum United States
Michael Hagemann-Jensen relative to Alan J. Simmons United States Alan J. Simmons's profile →
Citations per field
00.5×
Alan J. Simmons · 1×
Citations per year

Countries citing papers authored by Michael Hagemann-Jensen

Since Specialization
Citations

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

Fields of papers citing papers by Michael Hagemann-Jensen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Hagemann-Jensen. 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 Michael Hagemann-Jensen. The network helps show where Michael Hagemann-Jensen may publish in the future.

Co-authorship network of co-authors of Michael Hagemann-Jensen

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Hagemann-Jensen. A scholar is included among the top collaborators of Michael Hagemann-Jensen 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 Michael Hagemann-Jensen. Michael Hagemann-Jensen 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 0
2 5
3 13
4 15
5 3
6 59
7 1
8 6
9 13
10 2
11 22
12 22
13
Single-cell RNA counting at allele and isoform resolution using Smart-seq3breakdown →
407
14 46
15 53
16 327
17 8
18 18
19 154
20 10

About Michael Hagemann-Jensen

Michael Hagemann-Jensen is a scholar working on Cancer Research, Immunology and Molecular Biology, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (10 papers), RNA Research and Splicing (8 papers) and Cancer-related molecular mechanisms research (7 papers). The work is most often cited by research in Cancer Research (426 citations), Molecular Biology (1.2k citations) and Biophysics (79 citations). Michael Hagemann-Jensen has collaborated with scholars based in Sweden, Denmark and United States. Frequent co-authors include Rickard Sandberg, Omid R. Faridani, Christoph Ziegenhain, Anton J. M. Larsson, Gert‐Jan Hendriks, Daniel Ramsköld, Ping Chen, Björn Reinius, Leonard Hartmanis and Ilgar Abdullayev. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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