Christopher M. Reynolds
- Hematology top 1%
- Molecular Biology
- Oncology top 5%
- Pathology and Forensic Medicine
- Genetics top 10%
- Co-authors
- Mohan C. ThakuriBrian G.M. DurieS. Vincent RajkumarRobert Z. OrlowskiFrederic J. ReuStephen P. KahanicAntje HoeringBart Barlogie
- Topics
- Colorectal Cancer Treatments and Studies (5 papers)Lymphoma Diagnosis and Treatment (5 papers)Lung Cancer Treatments and Mutations (5 papers)
- Cited by
- HematologyOncologyMolecular Biology
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Christopher M. Reynolds
18 papers receiving 897 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Hematology 753
- Molecular Biology 620
- Oncology 521
- Pathology and Forensic Medicine 93
- Genetics 86
Countries citing papers authored by Christopher M. Reynolds
This map shows the geographic impact of Christopher M. Reynolds'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 Christopher M. Reynolds with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher M. Reynolds more than expected).
Fields of papers citing papers by Christopher M. Reynolds
This network shows the impact of papers produced by Christopher M. Reynolds. 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 Christopher M. Reynolds. The network helps show where Christopher M. Reynolds may publish in the future.
Co-authorship network of co-authors of Christopher M. Reynolds
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher M. Reynolds. A scholar is included among the top collaborators of Christopher M. Reynolds 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 Christopher M. Reynolds. Christopher M. Reynolds is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 11 | |
| 4 | 139 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 21 | |
| 10 | 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 |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 37 | |
| 14 | 43 | |
| 15 | 2 | |
| 16 | Long term demographic monitoring of wader populations in non-breeding areas | 20 |
| 17 | 16 | |
| 18 | 5 |
About Christopher M. Reynolds
Christopher M. Reynolds is a scholar working on Hematology, Oncology and Genetics, having authored 18 papers that have together received 916 indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and Lung Cancer Treatments and Mutations (5 papers). The work is most often cited by research in Hematology (753 citations), Oncology (521 citations) and Molecular Biology (620 citations). Christopher M. Reynolds has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Mohan C. Thakuri, Brian G.M. Durie, S. Vincent Rajkumar, Robert Z. Orlowski, Frederic J. Reu, Stephen P. Kahanic, Antje Hoering, Bart Barlogie, Joshua Epstein 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.