Julia Dahlmann

1.0k citations
24 papers · 731 · h-index 11

Impact in

Papers in

    • Pluripotent Stem Cells Research 9
    • CRISPR and Genetic Engineering 3
    • Tissue Engineering and Regenerative Medicine 7

Julia Dahlmann

24 papers receiving 726 citations

Peers

Julia Dahlmann
Comparison fields: 5 of 83
  • Molecular Medicine 101
  • Biomaterials 248
  • Biomedical Engineering 348
  • Surgery 300
  • Molecular Biology 311
Replace George Kensah with:
George Kensah Germany
Soah Lee United States
Kelly Sullivan United States
Jessica D. Weaver United States
Meng‐Horng Lee United States
Jeffrey A. Beamish United States
Stephanie A. Fisher Canada
Ainhoa Murua Spain
Kia N. Zellars United States
Hsin-Hsin Shen Taiwan
Julia Dahlmann relative to George Kensah Germany George Kensah's profile →
Citations per field
00.5×1.5×
George Kensah · 1×
Citations per year

Countries citing papers authored by Julia Dahlmann

Since Specialization
Citations

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

Fields of papers citing papers by Julia Dahlmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Julia Dahlmann, 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 Julia Dahlmann Line = papers co-authored together Julia Dahlmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012164
2 2012144
3 2013111
4 201084
5 201152
6 201837
7 202327
8 202018
9 201216
10 201916
11 202115
12 20218
13 20157
14 20185
15 20195
16 20204
17 20204
18 20204
19 20203
20 20232

About Julia Dahlmann

Julia Dahlmann is a scholar working on Molecular Biology, Surgery, Genetics, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 731 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (9 papers), Tissue Engineering and Regenerative Medicine (7 papers), 3D Printing in Biomedical Research (5 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Genetic and Kidney Cyst Diseases (3 papers), CRISPR and Genetic Engineering (3 papers), Cystic Fibrosis Research Advances (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Molecular Medicine (101 citations), Biomaterials (248 citations), Biomedical Engineering (348 citations), Surgery (300 citations) and Molecular Biology (311 citations). Julia Dahlmann has collaborated with scholars based in Germany, Australia and Egypt. Frequent co-authors include Ina Gruh, Ulrich Martin, George Kensah, Gerald Dräger, Andreas Krause, Lena Möller, Andreas Kirschning, Robert Zweigerdt, Axel Haverich and Ruth Olmer. Their work appears in journals such as Stem Cell Research, Biomaterials, Gene Therapy, The Thoracic and Cardiovascular Surgeon and Tissue Engineering Part C Methods.

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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