Dave Johnson
Impact in
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
-
- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 4
- Chronic Lymphocytic Leukemia Research 4
-
- Lymphoma Diagnosis and Treatment 4
- Co-authors
- Brian J. Lannutti (4 shared papers)Volker Diehl (2 shared papers)Adam Kashishian (2 shared papers)Sarah Meadows (2 shared papers)Langdon L. Miller (2 shared papers)Francisco Vega (1 shared paper)Anas Younes (1 shared paper)C. Mauli Agrawal (2 shared papers)
- Journals
- Blood (3 papers)Pacing and Clinical Electrophysiology (1 paper)Current Topics in Medicinal Chemistry (1 paper)Biomedical Materials (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Dave Johnson
10 papers receiving 268 citations
Peers
Comparison fields: 5 of 62
- Genetics 113
- Pathology and Forensic Medicine 90
- Hematology 29
- Oncology 69
- Immunology 43
Countries citing papers authored by Dave Johnson
This map shows the geographic impact of Dave Johnson'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 Dave Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dave Johnson more than expected).
Fields of papers citing papers by Dave Johnson
This network shows the impact of papers produced by Dave Johnson. 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 Dave Johnson. The network helps show where Dave Johnson may publish in the future.
Co-authors
The 25 scholars most cited alongside Dave Johnson, 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 | 2011 | 116 | |
| 2 | 2006 | 47 | |
| 3 | 2008 | 22 | |
| 4 | 2014 | 22 | |
| 5 | 2012 | 21 | |
| 6 | 1997 | 15 | |
| 7 | 2010 | 13 | |
| 8 | High-dose therapy and autologous stem cell rescue for poor risk and refractory lymphoma: a single centre experience of 123 patients. | 1996 | 9 |
| 9 | 2018 | 7 | |
| 10 | 2006 | 2 | |
| 11 | 2001 | 0 |
About Dave Johnson
Dave Johnson is a scholar working on Genetics, Pathology and Forensic Medicine, Molecular Biology, Cardiology and Cardiovascular Medicine and Materials Chemistry, having authored 11 papers that have together received 274 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Cardiac electrophysiology and arrhythmias (1 paper), Cardiac Arrhythmias and Treatments (1 paper), Biochemical and Molecular Research (1 paper), Atrial Fibrillation Management and Outcomes (1 paper) and Lung Cancer Treatments and Mutations (1 paper). The work is most often cited by research in Genetics (113 citations), Pathology and Forensic Medicine (90 citations), Hematology (29 citations), Oncology (69 citations) and Immunology (43 citations). Dave Johnson has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Brian J. Lannutti, Volker Diehl, Adam Kashishian, Sarah Meadows, Langdon L. Miller, Francisco Vega, Anas Younes, C. Mauli Agrawal, Marc D. Feldman and Devang Patel. Their work appears in journals such as Blood, Pacing and Clinical Electrophysiology, Current Topics in Medicinal Chemistry, Biomedical Materials and Journal of Clinical Oncology.
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.