Nicole Deutschmann

583 citations
14 papers · 505 indexed · h-index 12

Nicole Deutschmann

14 papers receiving 501 citations

Peers

Nicole Deutschmann
Comparison fields: 5 of 70
  • Cancer Research 102
  • Molecular Biology 305
  • Oncology 111
  • Oral Surgery 21
  • Physiology 12
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
00.5×1.5×2.3×
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

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

All Works

14 of 14 papers shown
#Work
1 200743
2 200763
3 200751
4 200616
5 20065
6 200643
7 200534
8
Characterization of {gamma}-aminobutyric acid type A receptor-associated protein, a novel tumor suppressor, showing reduced expression in breast cancer.
200554
9 200549
10 200453
11 20043
12 200350
13 200222
14 200019

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), Molecular Biology Techniques and Applications (2 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Glycosylation and Glycoproteins Research (1 paper). 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 International Journal of Cancer, The Journal of Pathology, Journal of Clinical Pathology, Lung Cancer and Journal of Cancer Research and Clinical Oncology.

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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