G. E. Francis
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Genetics top 5%
- Virus-based gene therapy research
Papers in
-
- Cancer therapeutics and mechanisms 7
- RNA Interference and Gene Delivery 6
- Hematology 29
- Acute Myeloid Leukemia Research 16
- Hematopoietic Stem Cell Transplantation 15
- Co-authors
- Cristina Delgado (17 shared papers)Derek Fisher (14 shared papers)J. J. Berney (21 shared papers)Samuel C. Wadsworth (1 shared paper)Alan E. Smith (1 shared paper)Catherine R. O’Riordan (1 shared paper)A. V. Hoffbrand (11 shared papers)George Janossy (4 shared papers)
- Journals
- Leukemia Research (10 papers)British Journal of Haematology (7 papers)Blood (3 papers)Biochemical Journal (3 papers)Analytical Biochemistry (2 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
G. E. Francis
87 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 127
- Hematology 510
- Genetics 584
- Immunology 351
- Biomaterials 232
- Oncology 408
Countries citing papers authored by G. E. Francis
This map shows the geographic impact of G. E. Francis'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 G. E. Francis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. E. Francis more than expected).
Fields of papers citing papers by G. E. Francis
This network shows the impact of papers produced by G. E. Francis. 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 G. E. Francis. The network helps show where G. E. Francis may publish in the future.
Co-authors
The 25 scholars most cited alongside G. E. Francis, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The uses and properties of PEG-linked proteins. | 1992 | 381 |
| 2 | 1999 | 361 | |
| 3 | 1998 | 130 | |
| 4 | 1975 | 102 | |
| 5 | 1981 | 90 | |
| 6 | 1978 | 79 | |
| 7 | 1996 | 77 | |
| 8 | 1990 | 68 | |
| 9 | 1985 | 61 | |
| 10 | 1996 | 58 | |
| 11 | 1973 | 54 | |
| 12 | 1982 | 45 | |
| 13 | 1983 | 40 | |
| 14 | 1983 | 36 | |
| 15 | 1987 | 34 | |
| 16 | 1992 | 30 | |
| 17 | 2004 | 28 | |
| 18 | 1979 | 26 | |
| 19 | 1991 | 25 | |
| 20 | 1994 | 25 |
About G. E. Francis
G. E. Francis is a scholar working on Molecular Biology, Hematology, Immunology, Oncology and Genetics, having authored 89 papers that have together received 2.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (16 papers), Hematopoietic Stem Cell Transplantation (15 papers), Neutropenia and Cancer Infections (10 papers), Immune Response and Inflammation (9 papers), Blood disorders and treatments (8 papers), Cancer therapeutics and mechanisms (7 papers), RNA Interference and Gene Delivery (6 papers) and Acute Lymphoblastic Leukemia research (6 papers). The work is most often cited by research in Hematology (510 citations), Genetics (584 citations), Immunology (351 citations), Biomaterials (232 citations) and Oncology (408 citations). G. E. Francis has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Cristina Delgado, Derek Fisher, J. J. Berney, Samuel C. Wadsworth, Alan E. Smith, Catherine R. O’Riordan, A. V. Hoffbrand, George Janossy, Sylvia Granger and A. Victor Hoffbrand. Their work appears in journals such as Leukemia Research, British Journal of Haematology, Blood, Biochemical Journal and Analytical Biochemistry.
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.