Lori Jerome
- Molecular Biology top 10%
- Hematology top 5%
- Oncology
- Cancer Research
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Unnur ÞorsteinsdóttirGuy SauvageauEvert KroonBrian Leyland‐JonesLaura ShiryFrancesco BlasiLaura S. FrostR. Keith Humphries
- Topics
- Growth Hormone and Insulin-like Growth Factors (4 papers)Cancer, Hypoxia, and Metabolism (3 papers)RNA and protein synthesis mechanisms (3 papers)
- Partner nations
- CanadaUnited StatesPoland
In The Last Decade
Lori Jerome
17 papers receiving 962 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 739
- Hematology 248
- Oncology 174
- Cancer Research 143
- Endocrinology, Diabetes and Metabolism 142
Countries citing papers authored by Lori Jerome
This map shows the geographic impact of Lori Jerome'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 Jerome with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lori Jerome more than expected).
Fields of papers citing papers by Lori Jerome
This network shows the impact of papers produced by Lori Jerome. 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 Jerome. The network helps show where Lori Jerome may publish in the future.
Co-authorship network of co-authors of Lori Jerome
This figure shows the co-authorship network connecting the top 25 collaborators of Lori Jerome. A scholar is included among the top collaborators of Lori Jerome 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 Lori Jerome. Lori Jerome is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | marrow cells induces stem cell expansion associatedHoxa9 gene in bone - Overexpression of the myeloid leukemia | 0 |
| 2 | 45 | |
| 3 | AEG35156, a XIAP antisense oligonucleotide, suppresses XIAP levels in targeted tissues isolated from pre-clinical models and from patients | 3 |
| 4 | 86 | |
| 5 | 100 | |
| 6 | Reversal of multidrug resistance by Pluronic block copolymers correlates with inhibition of drug efflux transporters and depletion of intracellular ATP and GSH levels. | 1 |
| 7 | 14 | |
| 8 | 1 | |
| 9 | 77 | |
| 10 | 279 | |
| 11 | 226 | |
| 12 | 28 | |
| 13 | 67 | |
| 14 | 11 | |
| 15 | 9 | |
| 16 | 14 | |
| 17 | 8 | |
| 18 | 10 |
About Lori Jerome
Lori Jerome is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Cancer Research, having authored 18 papers that have together received 979 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (4 papers), Cancer, Hypoxia, and Metabolism (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Hematology (248 citations), Molecular Biology (739 citations) and Cancer Research (143 citations). Lori Jerome has collaborated with scholars based in Canada, United States and Poland. Frequent co-authors include Unnur Þorsteinsdóttir, Guy Sauvageau, Evert Kroon, Brian Leyland‐Jones, Laura Shiry, Francesco Blasi, Laura S. Frost, R. Keith Humphries, Janet J. Bijl and H. Jeffrey Lawrence. Their work appears in journals such as Journal of Biological Chemistry, Blood and Journal of Molecular Biology.
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.