Lene Uhrbom

53 papers receiving 2.5k citations

Peers

Lene Uhrbom
Comparison fields: 5 of 97
  • Genetics 879
  • Developmental Neuroscience 218
  • Cancer Research 623
  • Oncology 629
  • Molecular Biology 1.2k
Replace Dwain K. Irvin with:
Dwain K. Irvin United States
Jarek Maciaczyk Germany
Giuseppe Lamorte Italy
Tracy‐Ann Read United States
Federica Pisati Italy
Christoph P. Beier Denmark
Loic P. Deleyrolle United States
Benito Campos Germany
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Florian A. Siebzehnrübl United Kingdom
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Citations per field
00.5×4.1×
Dwain K. Irvin · 1×
Citations per year

Countries citing papers authored by Lene Uhrbom

Since Specialization
Citations

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

Fields of papers citing papers by Lene Uhrbom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Ink4a-Arf loss cooperates with KRas activation in astrocytes and neural progenitors to generate glioblastomas of various morphologies depending on activated Akt.
2002224
2
Induction of brain tumors in mice using a recombinant platelet-derived growth factor B-chain retrovirus.
1998210
3 2009149
4 2004114
5 2021108
6 1997106
7 2004100
8 202389
9 200578
10 201277
11 200372
12 200067
13 200767
14 201162
15 201360
16 201752
17 200946
18 201145
19
Complementary effects of platelet-derived growth factor autocrine stimulation and p53 or Ink4a-Arf deletion in a mouse glioma model.
200345
20 200744

About Lene Uhrbom

Lene Uhrbom is a scholar working on Molecular Biology, Genetics, Cancer Research, Oncology and Immunology, having authored 56 papers that have together received 2.5k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (21 papers), MicroRNA in disease regulation (11 papers), Cancer Cells and Metastasis (10 papers), Cancer-related molecular mechanisms research (7 papers), interferon and immune responses (6 papers), Immune cells in cancer (6 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Genetics (879 citations), Developmental Neuroscience (218 citations), Cancer Research (623 citations), Oncology (629 citations) and Molecular Biology (1.2k citations). Lene Uhrbom has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Bengt Westermark, Eric C. Holland, Monica Nistér, Göran Hesselager, Yiwen Jiang, Marianne Kastemar, Tommie Olofsson, Nanna Lindberg, Chengkai Dai and Gregory N. Fuller. Their work appears in journals such as Oncogene, Neuro-Oncology, PLoS ONE, Oncotarget 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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