Monika Hämmerle

4.7k citations
15 papers · 3.5k indexed · 3 hit papers · h-index 8
Topics
Cancer-related molecular mechanisms research (7 papers)RNA modifications and cancer (6 papers)RNA Research and Splicing (4 papers)

In The Last Decade

Monika Hämmerle

13 papers receiving 3.5k citations

Hit Papers

The Noncoding RNA MALAT1 Is a Critical Regulator of the M...20122026201620212012201320194008001.2k

Peers

Monika Hämmerle
Comparison fields: 5 of 105
  • Molecular Biology 3.0k
  • Cancer Research 2.6k
  • Surgery 254
  • Biomedical Engineering 240
  • Epidemiology 202
Replace Anna Maria Lena with:
Anna Maria Lena Italy
Susanna Obad United States
Monica Di Padova Italy
Yunli Zhou United States
Isabelle Bourget France
Qingwei Zhu China
Lavinia Raimondi Italy
Kuei-Chun Wang United States
Monika Hämmerle relative to Anna Maria Lena Italy Anna Maria Lena's profile →
Citations per field
00.5×10×13.3×
Anna Maria Lena · 1×
Citations per year

Countries citing papers authored by Monika Hämmerle

Since Specialization
Citations

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

Fields of papers citing papers by Monika Hämmerle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monika Hämmerle

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 4
3 7
4 1
5 25
6 4
7
Human blood vessel organoids as a model of diabetic vasculopathybreakdown →
545
8 1
9 152
10
MALAT1 — a paradigm for long noncoding RNA function in cancerbreakdown →
586
11 373
12 203
13 0
14
The Noncoding RNA MALAT1 Is a Critical Regulator of the Metastasis Phenotype of Lung Cancer Cellsbreakdown →
1307
15 329

About Monika Hämmerle

Monika Hämmerle is a scholar working on Cancer Research, Molecular Biology and Dermatology, having authored 15 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (6 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Cancer Research (2.6k citations), Molecular Biology (3.0k citations) and Endocrinology (62 citations). Monika Hämmerle has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Sven Diederichs, Tony Gutschner, Matthias Groß, Martin Zörnig, Moritz F. Eissmann, Gene Hung, David L. Spector, Alexey S. Revenko, Youngsoo Kim and Gayatri Arun. Their work appears in journals such as Nature, Hepatology and Cancer Research.

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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