Lara Perryman

1.9k citations
19 papers · 861 · h-index 13

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation

Papers in

    • Microbial metabolism and enzyme function 4
    • Protein Degradation and Inhibitors 2
    • Ubiquitin and proteasome pathways 1
    • Glioma Diagnosis and Treatment 9

Lara Perryman

19 papers receiving 850 citations

Peers

Lara Perryman
Comparison fields: 5 of 67
  • Genetics 302
  • Cancer Research 163
  • Neurology 97
  • Molecular Biology 457
  • Oncology 140
Replace Marco Lodrini with:
Marco Lodrini Germany
Esther Andion Spain
Kah Suan Lim United States
Mirjam Hermisson Germany
Alexandra Borodovsky United States
Christopher R. Edwards United States
Gina Lama Italy
Ian A.J. Lorimer Canada
Avadhut D. Joshi United States
Catherine Richon France
Lara Perryman relative to Marco Lodrini Germany Marco Lodrini's profile →
Citations per field
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Marco Lodrini · 1×
Citations per year

Countries citing papers authored by Lara Perryman

Since Specialization
Citations

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

Fields of papers citing papers by Lara Perryman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2012137
2 2010136
3 2015122
4 200994
5 201888
6 200971
7 201141
8 201436
9 197531
10 201228
11 202320
12 201716
13 200612
14 201611
15 20158
16 20225
17 20253
18 20091
19
Differential mechanisms of temozolomide resistance in pediatric glioma cell lines
20081

About Lara Perryman

Lara Perryman is a scholar working on Molecular Biology, Genetics, Cancer Research, Oncology and Neurology, having authored 19 papers that have together received 861 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (9 papers), Microbial metabolism and enzyme function (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), MRI in cancer diagnosis (2 papers), Protein Degradation and Inhibitors (2 papers), Neuroblastoma Research and Treatments (2 papers), Nitric Oxide and Endothelin Effects (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Genetics (302 citations), Cancer Research (163 citations), Neurology (97 citations), Molecular Biology (457 citations) and Oncology (140 citations). Lara Perryman has collaborated with scholars based in United Kingdom, Australia and Denmark. Frequent co-authors include Chris Jones, Darren Hargrave, Janine T. Erler, Andrew D.J. Pearson, Marta Viana‐Pereira, Nathalie Gaspar, Dorine A. Bax, Suzanne E. Little, Rui Manuel Reis and Lynley V. Marshall. Their work appears in journals such as Biochemical and Biophysical Research Communications, Clinical Cancer Research, Nuclear Medicine and Biology, Scientific Reports and Journal of Medicinal Chemistry.

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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