Lori Berk

957 citations
20 papers · 785 · h-index 15

Impact in

  • Oncology top 10%
    • Vascular Tumors and Angiosarcomas
    • PI3K/AKT/mTOR signaling in cancer
    • Epigenetics and DNA Methylation
    • DNA Repair Mechanisms

Papers in

    • PI3K/AKT/mTOR signaling in cancer 9
    • CRISPR and Genetic Engineering 2
    • Multiple Myeloma Research and Treatments 7
    • Chronic Myeloid Leukemia Treatments 2

Lori Berk

20 papers receiving 770 citations

Peers

Lori Berk
Comparison fields: 5 of 63
  • Oncology 240
  • Molecular Biology 535
  • Genetics 199
  • Hematology 79
  • Pulmonary and Respiratory Medicine 224
Replace Gaia Roversi with:
Gaia Roversi Italy
Susan V. Outram United Kingdom
Neal Fischbach United States
Anna Dowe United Kingdom
Kimberly Lezon-Geyda United States
F. Müller-Pillasch Germany
Beate Betz Germany
Dali Huang United States
Susanna Mannisto Finland
Ami Goradia United States
Lori Berk relative to Gaia Roversi Italy Gaia Roversi's profile →
Citations per field
00.5×1.5×1.8×
Gaia Roversi · 1×
Citations per year

Countries citing papers authored by Lori Berk

Since Specialization
Citations

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

Fields of papers citing papers by Lori Berk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2011195
2 1999106
3 201187
4 200971
5 200158
6 200947
7 201036
8 201230
9
FHITness and cancer.
199829
10 200926
11 200521
12 201115
13 201214
14 200514
15 201214
16 20087
17 20126
18 20125
19 20043
20 20041

About Lori Berk

Lori Berk is a scholar working on Molecular Biology, Hematology, Genetics, Oncology and Genetics, having authored 20 papers that have together received 785 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (9 papers), Multiple Myeloma Research and Treatments (7 papers), Virus-based gene therapy research (3 papers), Genetics and Neurodevelopmental Disorders (3 papers), Cancer Treatment and Pharmacology (2 papers), CRISPR and Genetic Engineering (2 papers), Fungal Plant Pathogen Control (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Oncology (240 citations), Molecular Biology (535 citations), Genetics (199 citations), Hematology (79 citations) and Pulmonary and Respiratory Medicine (224 citations). Lori Berk has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Victor M. Rivera, Tim Clackson, Teresa Druck, Kay Huebner, Frank G. Haluska, John W. Loewy, Koshi Mimori, Carlo M. Croce, Hansjüerg Alder and Anthony W. Tolcher. Their work appears in journals such as Cold Spring Harbor Protocols, Journal of Clinical Oncology, Cancer Chemotherapy and Pharmacology, Annals of Oncology and Proceedings of the National Academy of Sciences.

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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