Nicole Deutschmann

583 citations
14 papers · 505 indexed · h-index 12
Topics
Neuroscience and Neuropharmacology Research (3 papers)RNA modifications and cancer (3 papers)Molecular Biology Techniques and Applications (2 papers)

In The Last Decade

Nicole Deutschmann

14 papers receiving 501 citations

Peers

Nicole Deutschmann
Comparison fields: 5 of 70
  • Molecular Biology 305
  • Oncology 111
  • Cancer Research 102
  • Epidemiology 59
  • Genetics 56
Replace Azzura Greco with:
Azzura Greco Italy
Zhongzong Pan United States
Meng K. Lim United States
Amy C. Ladd United States
Masaaki Hamaguchi United States
Tie Ke China
Yvan Nicaise France
Małgorzata Jarmuż‐Szymczak Poland
Bradley S. Henson United States
Haruka Hirose Japan
Nicole Deutschmann relative to Azzura Greco Italy Azzura Greco's profile →
Citations per field
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Azzura Greco · 1×
Citations per year

Countries citing papers authored by Nicole Deutschmann

Since Specialization
Citations

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

Fields of papers citing papers by Nicole Deutschmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicole Deutschmann

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 43
2 63
3 51
4 16
5 5
6 43
7 34
8
Characterization of {gamma}-aminobutyric acid type A receptor-associated protein, a novel tumor suppressor, showing reduced expression in breast cancer.
54
9 49
10 53
11 3
12 50
13 22
14 19

About Nicole Deutschmann

Nicole Deutschmann is a scholar working on Cancer Research, Cellular and Molecular Neuroscience and Microbiology, having authored 14 papers that have together received 505 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (3 papers), RNA modifications and cancer (3 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Cancer Research (102 citations), Molecular Biology (305 citations) and Oncology (111 citations). Nicole Deutschmann has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Iver Petersen, Manuela Pacyna-Gengelbach, Manuela Pacyna‐Gengelbach, Yuan Chen, Thomas Knösel, W. Arnold, Karsten Schlüns, Christiane Klebig, Siegfried Scherneck and Susanne Seitz. Their work appears in journals such as Cancer Research, Biochemical and Biophysical Research Communications and International Journal of Cancer.

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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