Susanna Jacobus
- Hematology top 0.5%
- Molecular Biology top 5%
- Oncology top 2%
- Pulmonary and Respiratory Medicine top 5%
- Surgery top 10%
- Co-authors
- S. Vincent RajkumarRafaël FonsecaNatalie S. CallanderPhilip R. GreippRafat AbonourDavid S. SiegelDavid H. VesoleMichael E. Williams
- Topics
- Multiple Myeloma Research and Treatments (35 papers)Cancer Treatment and Pharmacology (23 papers)Protein Degradation and Inhibitors (16 papers)
- Partner nations
- United StatesSouth AfricaFrance
In The Last Decade
Susanna Jacobus
57 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Hematology 1.5k
- Molecular Biology 1.3k
- Oncology 1.2k
- Pulmonary and Respiratory Medicine 431
- Surgery 404
Countries citing papers authored by Susanna Jacobus
This map shows the geographic impact of Susanna Jacobus'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 Susanna Jacobus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susanna Jacobus more than expected).
Fields of papers citing papers by Susanna Jacobus
This network shows the impact of papers produced by Susanna Jacobus. 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 Susanna Jacobus. The network helps show where Susanna Jacobus may publish in the future.
Co-authorship network of co-authors of Susanna Jacobus
This figure shows the co-authorship network connecting the top 25 collaborators of Susanna Jacobus. A scholar is included among the top collaborators of Susanna Jacobus 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 Susanna Jacobus. Susanna Jacobus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 164 | |
| 3 | 2 | |
| 4 | 59 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | Moving Beyond the Hazard Ratio in Quantifying the Between-Group Difference in Survival Analysisbreakdown → | 421 |
| 9 | 2 | |
| 10 | 52 | |
| 11 | 24 | |
| 12 | 23 | |
| 13 | 31 | |
| 14 | Lenalidomide plus high-dose dexamethasone versus lenalidomide plus low-dose dexamethasone as initial therapy for newly diagnosed multiple myeloma: an open-label randomised controlled trialbreakdown → | 673 |
| 15 | 40 | |
| 16 | 8 | |
| 17 | 21 | |
| 18 | 36 | |
| 19 | 28 | |
| 20 | 85 |
About Susanna Jacobus
Susanna Jacobus is a scholar working on Hematology, Oncology and Statistics and Probability, having authored 59 papers that have together received 2.8k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (35 papers), Cancer Treatment and Pharmacology (23 papers) and Protein Degradation and Inhibitors (16 papers). The work is most often cited by research in Hematology (1.5k citations), Oncology (1.2k citations) and Statistics and Probability (202 citations). Susanna Jacobus has collaborated with scholars based in United States, South Africa and France. Frequent co-authors include S. Vincent Rajkumar, Rafaël Fonseca, Natalie S. Callander, Philip R. Greipp, Rafat Abonour, David S. Siegel, David H. Vesole, Michael E. Williams, Michael B. Katz and William Oh. Their work appears in journals such as Journal of Clinical Oncology, Blood and Cancer.
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.