Franziska Paul

5.8k citations
15 papers · 2.0k indexed · 1 hit paper · h-index 10
Topics
Single-cell and spatial transcriptomics (3 papers)Immune cells in cancer (3 papers)Immune Cell Function and Interaction (3 papers)
Partner nations
IsraelGermanySingapore

In The Last Decade

Franziska Paul

15 papers receiving 2.0k citations

Hit Papers

Massively Parallel Single-Cell RNA-Seq for Marker-Free De...201420262018202220144008001.2k

Peers

Franziska Paul
Comparison fields: 5 of 97
  • Molecular Biology 1.4k
  • Immunology 801
  • Cancer Research 336
  • Neurology 200
  • Oncology 188
Replace Irina Zaretsky with:
Irina Zaretsky Israel
Johanna Klughammer Austria
Fiona Hamey United Kingdom
Diya Das United States
Christopher S. McGinnis United States
Thomas Moerman Belgium
David Lara‐Astiaso Spain
Quin F. Wills United Kingdom
Xingfan Huang United States
Marius Lange Germany
Franziska Paul relative to Irina Zaretsky Israel Irina Zaretsky's profile →
Citations per field
00.5×1.5×1.9×
Irina Zaretsky · 1×
Citations per year

Countries citing papers authored by Franziska Paul

Since Specialization
Citations

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

Fields of papers citing papers by Franziska Paul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Franziska Paul

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 1
2 3
3 1
4 81
5 178
6 13
7 3
8 223
9 36
10 204
11 31
12 20
13
Massively Parallel Single-Cell RNA-Seq for Marker-Free Decomposition of Tissues into Cell Typesbreakdown →
1236
14 1
15
Molecular Genetics of Drosophila Oogenesis
14

About Franziska Paul

Franziska Paul is a scholar working on Hematology, Immunology and Cancer Research, having authored 15 papers that have together received 2.0k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Immune cells in cancer (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Immunology (801 citations), Biophysics (155 citations) and Neurology (200 citations). Franziska Paul has collaborated with scholars based in Israel, Germany and Singapore. Frequent co-authors include Ido Amit, Amos Tanay, Diego Adhemar Jaitin, Ephraim Kenigsberg, Steffen Jung, Alexander Mildner, Hadas Keren‐Shaul, Irina Zaretsky, Nadav Cohen and Amir Giladi. Their work appears in journals such as Science, Blood and Immunity.

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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