Mania Ackermann

1.9k citations
39 papers · 1.5k · h-index 22

Impact in

  • Immunology top 10%
    • Immune cells in cancer
    • Immunodeficiency and Autoimmune Disorders
    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering

Papers in

    • Pluripotent Stem Cells Research 26
    • Epigenetics and DNA Methylation 3
    • CRISPR and Genetic Engineering 3
    • Genomics and Chromatin Dynamics 2
    • Immunodeficiency and Autoimmune Disorders 5
    • Immune cells in cancer 3

Mania Ackermann

39 papers receiving 1.5k citations

Peers

Mania Ackermann
Comparison fields: 5 of 66
  • Immunology 306
  • Molecular Biology 768
  • Genetics 217
  • Hematology 95
  • Genetics 61
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Citations per field
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Citations per year

Countries citing papers authored by Mania Ackermann

Since Specialization
Citations

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

Fields of papers citing papers by Mania Ackermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mania Ackermann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mania Ackermann Line = papers co-authored together Mania Ackermann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015179
2 2018137
3 2014100
4 201390
5 202282
6 201372
7 201572
8 201566
9 201562
10 201859
11 202359
12 201948
13 201346
14 201843
15 202441
16 202134
17 201727
18 201827
19 201726
20 202026

About Mania Ackermann

Mania Ackermann is a scholar working on Molecular Biology, Immunology, Genetics, Pulmonary and Respiratory Medicine and Hematology, having authored 39 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (26 papers), Virus-based gene therapy research (7 papers), Immunodeficiency and Autoimmune Disorders (5 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Epigenetics and DNA Methylation (3 papers), Immune cells in cancer (3 papers), CRISPR and Genetic Engineering (3 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Immunology (306 citations), Molecular Biology (768 citations), Genetics (217 citations), Hematology (95 citations) and Genetics (61 citations). Mania Ackermann has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Nico Lachmann, Thomas Moritz, Axel Schambach, Gesine Hansen, Christine Happle, Miriam Hetzel, Robert Zweigerdt, Mark Kühnel, Henning Kempf and Sebastian Brennig. Their work appears in journals such as Stem Cell Reports, Scientific Reports, Biomaterials, International Journal of Molecular Sciences and American Journal of Respiratory and Critical Care Medicine.

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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