Nicholas D. Johnson
Impact in
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- Advanced Bandit Algorithms Research
- Stock Market Forecasting Methods
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- Financial Markets and Investment Strategies
Papers in
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- Epigenetics and DNA Methylation 6
- RNA modifications and cancer 2
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- Advanced Bandit Algorithms Research 4
- Co-authors
- Karen N. Conneely (5 shared papers)Arindam Banerjee (4 shared papers)Puja Das (2 shared papers)Johanna K. DiStefano (1 shared paper)Xin Chu (1 shared paper)Glenn S. Gerhard (1 shared paper)Christopher D. Still (1 shared paper)Rui Kuang (2 shared papers)
- Journals
- Epigenetics (2 papers)The American Journal of Human Genetics (1 paper)BMC Bioinformatics (1 paper)Clinical Epigenetics (1 paper)Neuron (1 paper)
- Partner nations
- United States
In The Last Decade
Nicholas D. Johnson
14 papers receiving 192 citations
Peers
Comparison fields: 5 of 58
- Management Science and Operations Research 45
- Finance 22
- Cancer Research 19
- Molecular Biology 79
- Aging 2
Countries citing papers authored by Nicholas D. Johnson
This map shows the geographic impact of Nicholas 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 Nicholas 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 Nicholas D. Johnson more than expected).
Fields of papers citing papers by Nicholas D. Johnson
This network shows the impact of papers produced by Nicholas 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 Nicholas D. Johnson. The network helps show where Nicholas D. Johnson may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicholas 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
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 37 | |
| 2 | 2021 | 37 | |
| 3 | 2019 | 29 | |
| 4 | 2017 | 19 | |
| 5 | 2024 | 17 | |
| 6 | 2014 | 16 | |
| 7 | 2012 | 13 | |
| 8 | 2015 | 8 | |
| 9 | 2021 | 7 | |
| 10 | 2019 | 7 | |
| 11 | 2024 | 2 | |
| 12 | 2015 | 1 | |
| 13 | 2015 | 1 | |
| 14 | 2022 | 1 |
About Nicholas D. Johnson
Nicholas D. Johnson is a scholar working on Molecular Biology, Management Science and Operations Research, Genetics, Computer Networks and Communications and Artificial Intelligence, having authored 14 papers that have together received 195 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Advanced Bandit Algorithms Research (4 papers), Optimization and Search Problems (3 papers), Reinforcement Learning in Robotics (2 papers), RNA modifications and cancer (2 papers), Immune Cell Function and Interaction (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and Birth, Development, and Health (2 papers). The work is most often cited by research in Management Science and Operations Research (45 citations), Finance (22 citations), Cancer Research (19 citations), Molecular Biology (79 citations) and Aging (2 citations). Nicholas D. Johnson has collaborated with scholars based in United States. Frequent co-authors include Karen N. Conneely, Arindam Banerjee, Puja Das, Johanna K. DiStefano, Xin Chu, Glenn S. Gerhard, Christopher D. Still, Rui Kuang, Anthony Petrick and Wei Zhang. Their work appears in journals such as Epigenetics, The American Journal of Human Genetics, BMC Bioinformatics, Clinical Epigenetics and Neuron.
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.