Ron MacFarland
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
- Virology top 5%
- HIV Research and Treatment
Papers in
- Oncology 5
- Chemokine receptors and signaling 4
-
- Hematopoietic Stem Cell Transplantation 5
- Multiple Myeloma Research and Treatments 2
- Acute Myeloid Leukemia Research 1
- Co-authors
- Gary Calandra (5 shared papers)Gary Bridger (4 shared papers)Karin Badel (2 shared papers)Gary Calandra (2 shared papers)Clayton A. Smith (1 shared paper)Douglas A. Stewart (1 shared paper)Stephen Becker (4 shared papers)John F. DiPersio (2 shared papers)
- Journals
- Blood (2 papers)Biology of Blood and Marrow Transplantation (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)Biochemical Pharmacology (1 paper)Clinical Infectious Diseases (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Ron MacFarland
10 papers receiving 550 citations
Peers
Comparison fields: 5 of 53
- Hematology 259
- Virology 75
- Immunology 226
- Oncology 269
- Genetics 29
Countries citing papers authored by Ron MacFarland
This map shows the geographic impact of Ron MacFarland'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 Ron MacFarland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ron MacFarland more than expected).
Fields of papers citing papers by Ron MacFarland
This network shows the impact of papers produced by Ron MacFarland. 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 Ron MacFarland. The network helps show where Ron MacFarland may publish in the future.
Co-authors
The 25 scholars most cited alongside Ron MacFarland, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 107 | |
| 2 | 2007 | 105 | |
| 3 | 2004 | 77 | |
| 4 | 2009 | 72 | |
| 5 | 2005 | 64 | |
| 6 | 2009 | 60 | |
| 7 | 2009 | 48 | |
| 8 | 2008 | 20 | |
| 9 | 2008 | 18 | |
| 10 | 2006 | 6 |
About Ron MacFarland
Ron MacFarland is a scholar working on Oncology, Hematology, Virology, Immunology and Pathology and Forensic Medicine, having authored 10 papers that have together received 577 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (5 papers), Chemokine receptors and signaling (4 papers), HIV Research and Treatment (3 papers), Immunotherapy and Immune Responses (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Multiple Myeloma Research and Treatments (2 papers), Acute Myeloid Leukemia Research (1 paper) and HIV/AIDS drug development and treatment (1 paper). The work is most often cited by research in Hematology (259 citations), Virology (75 citations), Immunology (226 citations), Oncology (269 citations) and Genetics (29 citations). Ron MacFarland has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Gary Calandra, Gary Bridger, Karin Badel, Gary Calandra, Clayton A. Smith, Douglas A. Stewart, Stephen Becker, John F. DiPersio, Amanda F. Cashen and Feng Gao. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, Antimicrobial Agents and Chemotherapy, Biochemical Pharmacology and Clinical Infectious Diseases.
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.