Mark Pykett
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
Papers in
- Oncology 7
- Cancer-related Molecular Pathways 4
- Co-authors
- Michael Rosenzweig (7 shared papers)Maureen E. Murphy (3 shared papers)James R. Bagley (2 shared papers)Douglas Marks (1 shared paper)Donna L. George (3 shared papers)Mark C. Poznansky (1 shared paper)Russell B. Foxall (1 shared paper)Kelly E. Hartman (1 shared paper)
- Journals
- Neurology (3 papers)Experimental Hematology (2 papers)International Journal of Oncology (2 papers)Cytotherapy (2 papers)Journal of Cellular Biochemistry (1 paper)
- Partner nations
- United StatesTaiwan
In The Last Decade
Mark Pykett
20 papers receiving 509 citations
Peers
Comparison fields: 5 of 67
- Genetics 121
- Hematology 112
- Immunology 107
- Oncology 125
- Neurology 66
Countries citing papers authored by Mark Pykett
This map shows the geographic impact of Mark Pykett'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 Mark Pykett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Pykett more than expected).
Fields of papers citing papers by Mark Pykett
This network shows the impact of papers produced by Mark Pykett. 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 Mark Pykett. The network helps show where Mark Pykett may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Pykett, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 116 | |
| 2 | 1999 | 62 | |
| 3 | 1994 | 57 | |
| 4 | Radioimmunotherapy of the GW-39 human colonic tumor xenograft with 131I-labeled murine monoclonal antibody to carcinoembryonic antigen. | 1987 | 54 |
| 5 | 2003 | 46 | |
| 6 | 2001 | 45 | |
| 7 | 1997 | 31 | |
| 8 | 1991 | 24 | |
| 9 | Identification of a microsatellite instability phenotype in meningiomas. | 1994 | 21 |
| 10 | 1994 | 14 | |
| 11 | 1997 | 14 | |
| 12 | 2003 | 13 | |
| 13 | 1998 | 9 | |
| 14 | 2018 | 2 | |
| 15 | 1997 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2019 | 1 | |
| 18 | 2010 | 1 | |
| 19 | 2019 | 1 | |
| 20 | 2021 | 1 |
About Mark Pykett
Mark Pykett is a scholar working on Oncology, Molecular Biology, Clinical Biochemistry, Cell Biology and Genetics, having authored 21 papers that have together received 517 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (5 papers), Mesenchymal stem cell research (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Biotin and Related Studies (4 papers), Cancer-related Molecular Pathways (4 papers), Immunotherapy and Immune Responses (3 papers), Neuroblastoma Research and Treatments (3 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Genetics (121 citations), Hematology (112 citations), Immunology (107 citations), Oncology (125 citations) and Neurology (66 citations). Mark Pykett has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Michael Rosenzweig, Maureen E. Murphy, James R. Bagley, Douglas Marks, Donna L. George, Mark C. Poznansky, Russell B. Foxall, Kelly E. Hartman, Robert M. Sharkey and Helen Kim. Their work appears in journals such as Neurology, Experimental Hematology, International Journal of Oncology, Cytotherapy and Journal of Cellular 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.