Laura M. Bartle
- Molecular Biology top 10%
- Epidemiology top 5%
- Immunology top 5%
- Oncology top 5%
- Parasitology top 2%
- Co-authors
- Victor S. GoldmacherAnna SkaletskayaThomas ChittendenEdward S. MocarskiA. Louise McCormickCarol A. VaterJean D. SipeRobert J. Lutz
- Topics
- HER2/EGFR in Cancer Research (7 papers)Cytomegalovirus and herpesvirus research (5 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)
- Cited by
- ParasitologyImmunologyEpidemiology
- Partner nations
- United StatesFranceItaly
In The Last Decade
Laura M. Bartle
27 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 892
- Epidemiology 845
- Immunology 544
- Oncology 530
- Parasitology 276
Countries citing papers authored by Laura M. Bartle
This map shows the geographic impact of Laura M. Bartle'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 Laura M. Bartle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura M. Bartle more than expected).
Fields of papers citing papers by Laura M. Bartle
This network shows the impact of papers produced by Laura M. Bartle. 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 Laura M. Bartle. The network helps show where Laura M. Bartle may publish in the future.
Co-authorship network of co-authors of Laura M. Bartle
This figure shows the co-authorship network connecting the top 25 collaborators of Laura M. Bartle. A scholar is included among the top collaborators of Laura M. Bartle 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 Laura M. Bartle. Laura M. Bartle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 9 | |
| 3 | 90 | |
| 4 | 160 | |
| 5 | 245 | |
| 6 | Abstract #2799: Combination therapy with IMGN901 and lenalidomide plus low-dose dexamethasone is highly effective in multiple myeloma xenograft models | 6 |
| 7 | Efficacy of IMGN901 (huN901-DM1) in combination with bortezomib and lenalidomide against multiple myeloma cells in preclinical studies | 11 |
| 8 | 3 | |
| 9 | 106 | |
| 10 | 165 | |
| 11 | 88 | |
| 12 | 79 | |
| 13 | 351 | |
| 14 | 24 | |
| 15 | 6 | |
| 16 | 17 | |
| 17 | 48 | |
| 18 | Serum amyloid A induction in tumor-bearing mice: Evidence for a tumor- derived mediator | 5 |
| 19 | 104 | |
| 20 | Differential effect of interleukin-1 on interleukin-6-stimulated alpha-1-antichymotrypsin expression in human hepatoma cell lines. | 2 |
About Laura M. Bartle
Laura M. Bartle is a scholar working on Parasitology, Oncology and Physiology, having authored 27 papers that have together received 2.2k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (7 papers), Cytomegalovirus and herpesvirus research (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Parasitology (276 citations), Immunology (544 citations) and Epidemiology (845 citations). Laura M. Bartle has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Victor S. Goldmacher, Anna Skaletskaya, Thomas Chittenden, Edward S. Mocarski, A. Louise McCormick, Carol A. Vater, Jean D. Sipe, Robert J. Lutz, Nancy Kedersha and Peter U. Park. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.
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.