Christopher L. Reading
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation 11
- Chronic Myeloid Leukemia Treatments 8
- Acute Myeloid Leukemia Research 7
- Genetics top 5%
- Estrogen and related hormone effects 7
- Virus-based gene therapy research 6
- Biological Psychiatry top 10%
- Immunology top 10%
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- Monoclonal and Polyclonal Antibodies Research 9
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- Glycosylation and Glycoproteins Research 13
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- Cytokine Signaling Pathways and Interactions 7
- Co-authors
- Edward E. PenhoetJames M. FrinckeGarth L. NicolsonClarence AhlemDominick L. AuciSergio GiraltBörje S. AnderssonRakesh Mehra
- Partner nations
- United StatesItalyNetherlands
In The Last Decade
Christopher L. Reading
73 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 109
- Hematology 448
- Genetics 218
- Biological Psychiatry 48
- Immunology 350
- Radiology, Nuclear Medicine and Imaging 313
Countries citing papers authored by Christopher L. Reading
This map shows the geographic impact of Christopher L. Reading'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 Christopher L. Reading with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher L. Reading more than expected).
Fields of papers citing papers by Christopher L. Reading
This network shows the impact of papers produced by Christopher L. Reading. 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 Christopher L. Reading. The network helps show where Christopher L. Reading may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christopher L. Reading, 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 | 2025 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2012 | 17 | |
| 5 | 2011 | 9 | |
| 6 | 2010 | 9 | |
| 7 | 2010 | 12 | |
| 8 | 2009 | 17 | |
| 9 | 2008 | 38 | |
| 10 | 2006 | 47 | |
| 11 | 2002 | 38 | |
| 12 | 1994 | 146 | |
| 13 | 1993 | 1 | |
| 14 | 1992 | 17 | |
| 15 | 1991 | 2 | |
| 16 | 1991 | 3 | |
| 17 | Future directions in molecular and genetic therapy for Leukemias and solid tumors | 1990 | 0 |
| 18 | 1989 | 5 | |
| 19 | 1989 | 16 | |
| 20 | 1988 | 6 |
About Christopher L. Reading
Christopher L. Reading is a scholar working on Hematology, Biological Psychiatry, Immunology, Oncology and Genetics, having authored 74 papers that have together received 1.8k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (13 papers), Hematopoietic Stem Cell Transplantation (11 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Chronic Myeloid Leukemia Treatments (8 papers), Acute Myeloid Leukemia Research (7 papers), Estrogen and related hormone effects (7 papers), Cytokine Signaling Pathways and Interactions (7 papers) and Virus-based gene therapy research (6 papers). The work is most often cited by research in Hematology (448 citations), Genetics (218 citations), Biological Psychiatry (48 citations), Immunology (350 citations) and Radiology, Nuclear Medicine and Imaging (313 citations). Christopher L. Reading has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Edward E. Penhoet, James M. Frincke, Garth L. Nicolson, Clarence Ahlem, Dominick L. Auci, Sergio Giralt, Börje S. Andersson, Rakesh Mehra, Donna Przepiorka and Koen van Besien. Their work appears in journals such as Blood, Journal of Cellular Biochemistry, Human Gene Therapy, Obesity and Journal of Immunological Methods.
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.