David J. Shields
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
Papers in
-
- Cell Adhesion Molecules Research 4
- Genetics 7
- Hemoglobinopathies and Related Disorders 5
- Co-authors
- David A. ChereshNancy A. DawsonWilliam J. EdenfieldJohn C. ByrdEric A. MurphyLea ScheppkeLisette M. AcevedoMiller Huang
- Journals
- Cancer Research (4 papers)Journal of Biological Chemistry (3 papers)PLoS ONE (3 papers)Nature Medicine (2 papers)Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids (2 papers)
- Partner nations
- United StatesCanadaSpain
In The Last Decade
David J. Shields
44 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Hematology 520
- Cancer Research 634
- Immunology and Allergy 227
- Genetics 275
- Molecular Biology 1.7k
Countries citing papers authored by David J. Shields
This map shows the geographic impact of David J. Shields'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 David J. Shields with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Shields more than expected).
Fields of papers citing papers by David J. Shields
This network shows the impact of papers produced by David J. Shields. 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 David J. Shields. The network helps show where David J. Shields may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David J. Shields, 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 | 2024 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 8 | |
| 4 | 2022 | 9 | |
| 5 | 2022 | 5 | |
| 6 | 2021 | 16 | |
| 7 | 2020 | 116 | |
| 8 | Errors with Manual Phenotype Validation: Case Study and Implications. | 2015 | 1 |
| 9 | 2014 | 5 | |
| 10 | 2011 | 21 | |
| 11 | 2011 | 37 | |
| 12 | 2010 | 418 | |
| 13 | 2009 | 112 | |
| 14 | 2009 | 52 | |
| 15 | 2009 | 235 | |
| 16 | 2007 | 15 | |
| 17 | 2003 | 38 | |
| 18 | 2001 | 30 | |
| 19 | 1996 | 66 | |
| 20 | 1992 | 38 |
About David J. Shields
David J. Shields is a scholar working on Immunology and Allergy, Genetics, Oncology, Cell Biology and Hematology, having authored 44 papers that have together received 3.2k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (8 papers), Advanced Breast Cancer Therapies (6 papers), Hemoglobinopathies and Related Disorders (5 papers), Cell Adhesion Molecules Research (4 papers), DNA Repair Mechanisms (3 papers), Cancer-related Molecular Pathways (3 papers), Angiogenesis and VEGF in Cancer (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Hematology (520 citations), Cancer Research (634 citations), Immunology and Allergy (227 citations), Genetics (275 citations) and Molecular Biology (1.7k citations). David J. Shields has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include David A. Cheresh, Nancy A. Dawson, William J. Edenfield, John C. Byrd, Eric A. Murphy, Lea Scheppke, Lisette M. Acevedo, Miller Huang, Joshua I. Greenberg and Christian Stockmann. Their work appears in journals such as Cancer Research, Journal of Biological Chemistry, PLoS ONE, Nature Medicine and Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids.
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.