Tamara Utermark

775 citations
14 papers · 626 · h-index 12

Impact in

  • Neurology top 10%
    • Neurofibromatosis and Schwannoma Cases
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Neurofibromatosis and Schwannoma Cases 8
    • Neuroblastoma Research and Treatments 2
    • PI3K/AKT/mTOR signaling in cancer 4

Tamara Utermark

14 papers receiving 614 citations

Peers

Tamara Utermark
Comparison fields: 5 of 64
  • Neurology 160
  • Genetics 82
  • Oncology 170
  • Cell Biology 98
  • Molecular Biology 404
Replace Barbara R. Tschida with:
Barbara R. Tschida United States
Adrienne L. Watson United States
Ludger Klewes Canada
David Eaves United States
Sybil M. Genther Williams United States
Karel Zitterbart Czechia
Anita Olofsson Sweden
P. Cornaglia‐Ferraris Italy
Hideo Takeshima Japan
Tomotane Shishikura Japan
Tamara Utermark relative to Barbara R. Tschida United States Barbara R. Tschida's profile →
Citations per field
00.5×1.5×2.0×
Barbara R. Tschida · 1×
Citations per year

Countries citing papers authored by Tamara Utermark

Since Specialization
Citations

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

Fields of papers citing papers by Tamara Utermark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2011175
2 2012112
3 200476
4 201457
5 200632
6 200329
7 200828
8 200626
9 200724
10 200622
11 200315
12 200515
13 20149
14 20116

About Tamara Utermark

Tamara Utermark is a scholar working on Neurology, Molecular Biology, Oncology, Epidemiology and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 626 indexed citations. Recurring topics across this work include Neurofibromatosis and Schwannoma Cases (8 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Meningioma and schwannoma management (3 papers), Polyomavirus and related diseases (3 papers), Axon Guidance and Neuronal Signaling (3 papers), Cellular Mechanics and Interactions (2 papers), Neuroblastoma Research and Treatments (2 papers) and Mast cells and histamine (1 paper). The work is most often cited by research in Neurology (160 citations), Genetics (82 citations), Oncology (170 citations), Cell Biology (98 citations) and Molecular Biology (404 citations). Tamara Utermark has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Thomas M. Roberts, C. Oliver Hanemann, Hans R. Widlund, Nina Ilić, Jean J. Zhao, Qi Wang, Sang‐Hyun Lee, J. Dirk Iglehart, William J. Muller and Hailing Cheng. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Brain Pathology, Genes & Development and 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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