Daniel Goff
Impact in
- Virology top 1%
- HIV Research and Treatment
- Health Informatics top 5%
Papers in ⓘ
-
- RNA regulation and disease 3
- Kruppel-like factors research 2
- Hematology 10
- Chronic Myeloid Leukemia Treatments 8
- Acute Myeloid Leukemia Research 2
- Co-authors
- Richard S. Mitchell (1 shared paper)Marc C. Johnson (1 shared paper)Edward B. Stephens (1 shared paper)Rebecca L. Jorgenson (1 shared paper)John Guatelli (1 shared paper)Catriona Jamieson (15 shared papers)Edward Kavalerchik (4 shared papers)Sheldon Morris (5 shared papers)
- Journals
- Blood (9 papers)Radiology Artificial Intelligence (2 papers)PLoS ONE (2 papers)Journal of Translational Medicine (1 paper)Journal of Digital Imaging (1 paper)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Daniel Goff
20 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Virology 627
- Health Informatics 36
- Immunology 422
- Hematology 157
- Infectious Diseases 225
Countries citing papers authored by Daniel Goff
This map shows the geographic impact of Daniel Goff'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 Daniel Goff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Goff more than expected).
Fields of papers citing papers by Daniel Goff
This network shows the impact of papers produced by Daniel Goff. 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 Daniel Goff. The network helps show where Daniel Goff may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Goff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Interferon-Induced Protein BST-2 Restricts HIV-1 Release and Is Downregulated from the Cell Surface by the Viral Vpu Protein Hit paper breakdown → | 2008 | 830 |
| 2 | 2016 | 183 | |
| 3 | 2012 | 139 | |
| 4 | 2008 | 107 | |
| 5 | 2017 | 34 | |
| 6 | 2012 | 29 | |
| 7 | 2021 | 27 | |
| 8 | 2011 | 24 | |
| 9 | 2022 | 11 | |
| 10 | 2011 | 11 | |
| 11 | 2013 | 7 | |
| 12 | 2009 | 2 | |
| 13 | 2006 | 2 | |
| 14 | 2011 | 2 | |
| 15 | 2006 | 2 | |
| 16 | 2010 | 1 | |
| 17 | 2009 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2006 | 1 | |
| 20 | 2013 | 1 |
About Daniel Goff
Daniel Goff is a scholar working on Molecular Biology, Hematology, Oncology, Organic Chemistry and Genetics, having authored 22 papers that have together received 1.4k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (8 papers), RNA regulation and disease (3 papers), Click Chemistry and Applications (3 papers), Kruppel-like factors research (2 papers), Acute Myeloid Leukemia Research (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Acute Lymphoblastic Leukemia research (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Virology (627 citations), Health Informatics (36 citations), Immunology (422 citations), Hematology (157 citations) and Infectious Diseases (225 citations). Daniel Goff has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Richard S. Mitchell, Marc C. Johnson, Edward B. Stephens, Rebecca L. Jorgenson, John Guatelli, Catriona Jamieson, Edward Kavalerchik, Sheldon Morris, Leslie Crews and Angela C. Court. Their work appears in journals such as Blood, Radiology Artificial Intelligence, PLoS ONE, Journal of Translational Medicine and Journal of Digital Imaging.
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.