Andrew D. Johnson
Impact in
Papers in
- Genetics 41
- Genetic Associations and Epidemiology 28
-
- RNA modifications and cancer 6
- Co-authors
- Christopher J. O’Donnell (17 shared papers)Wolfgang Sadée (5 shared papers)Daqing Wang (5 shared papers)Audrey C. Papp (4 shared papers)Robert E. Handsaker (1 shared paper)Paul I. W. de Bakker (1 shared paper)Sara L. Pulit (1 shared paper)Marcia M. Nizzari (1 shared paper)
- Journals
- Reproduction (6 papers)Circulation (6 papers)Journal of Animal Science (5 papers)Bioinformatics (4 papers)Platelets (4 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Andrew D. Johnson
125 papers receiving 6.6k citations
Andrew D. Johnson's Hit Papers
Peers
Comparison fields: 5 of 164
- Genetics 1.7k
- Aging 93
- Hematology 385
- Molecular Biology 2.4k
- Cancer Research 473
Countries citing papers authored by Andrew D. Johnson
This map shows the geographic impact of Andrew D. 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 Andrew D. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew D. Johnson more than expected).
Fields of papers citing papers by Andrew D. Johnson
This network shows the impact of papers produced by Andrew D. 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 Andrew D. Johnson. The network helps show where Andrew D. Johnson may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew D. 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
Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SNAP: a web-based tool for identification and annotation of proxy SNPs using HapMap Hit paper breakdown → | 2008 | 940 |
| 2 | 2005 | 457 | |
| 3 | 2005 | 409 | |
| 4 | 2008 | 278 | |
| 5 | 2009 | 227 | |
| 6 | 2012 | 206 | |
| 7 | 2010 | 196 | |
| 8 | 2019 | 190 | |
| 9 | 2014 | 178 | |
| 10 | 2010 | 172 | |
| 11 | 2014 | 141 | |
| 12 | 2011 | 132 | |
| 13 | 2015 | 124 | |
| 14 | 2019 | 118 | |
| 15 | 2012 | 112 | |
| 16 | 2014 | 100 | |
| 17 | 2015 | 99 | |
| 18 | 2010 | 98 | |
| 19 | 2004 | 94 | |
| 20 | 1994 | 88 |
About Andrew D. Johnson
Andrew D. Johnson is a scholar working on Genetics, Molecular Biology, Cardiology and Cardiovascular Medicine, Hematology and Oncology, having authored 129 papers that have together received 6.7k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (28 papers), Antiplatelet Therapy and Cardiovascular Diseases (11 papers), Platelet Disorders and Treatments (6 papers), RNA modifications and cancer (6 papers), Cancer-related molecular mechanisms research (5 papers), Inflammatory Biomarkers in Disease Prognosis (5 papers), Cardiovascular Health and Risk Factors (5 papers) and Heavy Metal Exposure and Toxicity (5 papers). The work is most often cited by research in Genetics (1.7k citations), Aging (93 citations), Hematology (385 citations), Molecular Biology (2.4k citations) and Cancer Research (473 citations). Andrew D. Johnson has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Christopher J. O’Donnell, Wolfgang Sadée, Daqing Wang, Audrey C. Papp, Robert E. Handsaker, Paul I. W. de Bakker, Sara L. Pulit, Marcia M. Nizzari, Christopher J. O’Donnell and Daniel Levy. Their work appears in journals such as Reproduction, Circulation, Journal of Animal Science, Bioinformatics and Platelets.
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.