Randy Allred
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Hemophilia Treatment and Research
- Chronic Myeloid Leukemia Treatments
- Platelet Disorders and Treatments
Papers in
-
- Acute Myeloid Leukemia Research 1
- Chronic Myeloid Leukemia Treatments 1
- Hemophilia Treatment and Research 1
-
- Immune Response and Inflammation 2
- Co-authors
- James E. Pennington (3 shared papers)Anthony Dal Nogare (2 shared papers)Mark J. Rumbak (2 shared papers)Guillermo Gutiérrez (2 shared papers)Lona Poole (2 shared papers)Sidney Tessler (2 shared papers)Steve Berman (2 shared papers)John Constant (2 shared papers)
- Journals
- Pharmaceutical Statistics (1 paper)International Journal of Epidemiology (1 paper)The Journal of Infectious Diseases (1 paper)The American Journal of Medicine (1 paper)The Lancet (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Randy Allred
10 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 91
- Hematology 481
- Critical Care and Intensive Care Medicine 120
- Immunology 385
- Genetics 170
- Epidemiology 399
Countries citing papers authored by Randy Allred
This map shows the geographic impact of Randy Allred'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 Randy Allred with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Randy Allred more than expected).
Fields of papers citing papers by Randy Allred
This network shows the impact of papers produced by Randy Allred. 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 Randy Allred. The network helps show where Randy Allred may publish in the future.
Co-authors
The 25 scholars most cited alongside Randy Allred, 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 | Double-blind randomised controlled trial of monoclonal antibody to human tumour necrosis factor in treatment of septic shock. NORASEPT II Study Group. | 1998 | 489 |
| 2 | 2005 | 402 | |
| 3 | 1998 | 373 | |
| 4 | 1990 | 185 | |
| 5 | 1984 | 87 | |
| 6 | 1984 | 38 | |
| 7 | 1994 | 20 | |
| 8 | 2014 | 13 | |
| 9 | 2007 | 12 | |
| 10 | 1981 | 1 | |
| 11 | 2006 | 1 |
About Randy Allred
Randy Allred is a scholar working on Hematology, Immunology, Molecular Biology, Epidemiology and Management Science and Operations Research, having authored 11 papers that have together received 1.6k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (2 papers), Immune Response and Inflammation (2 papers), Optimal Experimental Design Methods (2 papers), Sepsis Diagnosis and Treatment (2 papers), Acute Myeloid Leukemia Research (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Hemophilia Treatment and Research (1 paper) and S100 Proteins and Annexins (1 paper). The work is most often cited by research in Hematology (481 citations), Critical Care and Intensive Care Medicine (120 citations), Immunology (385 citations), Genetics (170 citations) and Epidemiology (399 citations). Randy Allred has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include James E. Pennington, Anthony Dal Nogare, Mark J. Rumbak, Guillermo Gutiérrez, Lona Poole, Sidney Tessler, Steve Berman, John Constant, Stanley A. Nasraway and Richard G. Wunderink. Their work appears in journals such as Pharmaceutical Statistics, International Journal of Epidemiology, The Journal of Infectious Diseases, The American Journal of Medicine and The Lancet.
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.