Stephen P. Kahanic
- Hematology top 1%
- Oncology top 5%
- Molecular Biology
- Genetics top 5%
- Pulmonary and Respiratory Medicine
- Co-authors
- Mohan C. ThakuriBrian G.M. DurieS. Vincent RajkumarRobert Z. OrlowskiFrederic J. ReuAntje HoeringBart BarlogieJoshua Epstein
- Topics
- Multiple Myeloma Research and Treatments (5 papers)Cancer Treatment and Pharmacology (5 papers)HER2/EGFR in Cancer Research (4 papers)
- Cited by
- HematologyOncologyGenetics
- Partner nations
- United StatesBelgiumSpain
In The Last Decade
Stephen P. Kahanic
21 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Hematology 861
- Oncology 772
- Molecular Biology 683
- Genetics 195
- Pulmonary and Respiratory Medicine 124
Countries citing papers authored by Stephen P. Kahanic
This map shows the geographic impact of Stephen P. Kahanic'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 Stephen P. Kahanic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen P. Kahanic more than expected).
Fields of papers citing papers by Stephen P. Kahanic
This network shows the impact of papers produced by Stephen P. Kahanic. 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 Stephen P. Kahanic. The network helps show where Stephen P. Kahanic may publish in the future.
Co-authorship network of co-authors of Stephen P. Kahanic
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen P. Kahanic. A scholar is included among the top collaborators of Stephen P. Kahanic 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 Stephen P. Kahanic. Stephen P. Kahanic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 139 | |
| 2 | 21 | |
| 3 | Bortezomib with lenalidomide and dexamethasone versus lenalidomide and dexamethasone alone in patients with newly diagnosed myeloma without intent for immediate autologous stem-cell transplant (SWOG S0777): a randomised, open-label, phase 3 trialbreakdown → | 594 |
| 4 | 27 | |
| 5 | 22 | |
| 6 | 43 | |
| 7 | 14 | |
| 8 | 6 | |
| 9 | 89 | |
| 10 | 29 | |
| 11 | 66 | |
| 12 | 129 | |
| 13 | 5 | |
| 14 | 16 | |
| 15 | 31 | |
| 16 | 1 | |
| 17 | 27 | |
| 18 | Pilot trial of paclitaxel-herceptin adjuvant therapy for early stage breast cancer (E2198) | 4 |
| 19 | 41 | |
| 20 | 27 |
About Stephen P. Kahanic
Stephen P. Kahanic is a scholar working on Hematology, Genetics and Oncology, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (5 papers), Cancer Treatment and Pharmacology (5 papers) and HER2/EGFR in Cancer Research (4 papers). The work is most often cited by research in Hematology (861 citations), Oncology (772 citations) and Genetics (195 citations). Stephen P. Kahanic has collaborated with scholars based in United States, Belgium and Spain. Frequent co-authors include Mohan C. Thakuri, Brian G.M. Durie, S. Vincent Rajkumar, Robert Z. Orlowski, Frederic J. Reu, Antje Hoering, Bart Barlogie, Joshua Epstein, Christopher M. Reynolds and Angela Dispenzieri. Their work appears in journals such as The Lancet, Journal of Clinical Oncology 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.