Daniel Clarke
Impact in
- Soil Science top 2%
- Agricultural risk and resilience
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
-
- Bioinformatics and Genomic Networks 16
- Gene expression and cancer classification 10
- Biomedical Text Mining and Ontologies 7
- Soil Science 27
- Agricultural risk and resilience 27
- Co-authors
- Avi Ma’ayan (31 shared papers)John Erol Evangelista (18 shared papers)Alexander Lachmann (16 shared papers)Zhuorui Xie (14 shared papers)Maxim V. Kuleshov (9 shared papers)Kathleen M. Jagodnik (9 shared papers)Minji Jeon (7 shared papers)Eryk Kropiwnicki (8 shared papers)
- Journals
- Nucleic Acids Research (7 papers)Current Protocols (4 papers)Database (2 papers)BMC Bioinformatics (2 papers)Patterns (2 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Daniel Clarke
67 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Soil Science 540
- Cancer Research 370
- Molecular Biology 1.4k
- Safety Research 141
- Immunology 338
Countries citing papers authored by Daniel Clarke
This map shows the geographic impact of Daniel Clarke'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 Daniel Clarke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Clarke more than expected).
Fields of papers citing papers by Daniel Clarke
This network shows the impact of papers produced by Daniel Clarke. 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 Daniel Clarke. The network helps show where Daniel Clarke may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Clarke, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Gene Set Knowledge Discovery with Enrichr Hit paper breakdown → | 2021 | 1718 |
| 2 | 2016 | 180 | |
| 3 | 2013 | 146 | |
| 4 | 2018 | 133 | |
| 5 | 2019 | 100 | |
| 6 | 2012 | 84 | |
| 7 | 2023 | 78 | |
| 8 | 2016 | 57 | |
| 9 | 2019 | 55 | |
| 10 | 2022 | 49 | |
| 11 | 2020 | 48 | |
| 12 | 2012 | 45 | |
| 13 | 2013 | 39 | |
| 14 | 2024 | 24 | |
| 15 | 2017 | 22 | |
| 16 | Strategic Review and the Feasibility of Seaweed Aquaculture in Ireland | 2004 | 21 |
| 17 | 2012 | 20 | |
| 18 | 2016 | 19 | |
| 19 | 2021 | 17 | |
| 20 | 2020 | 16 |
About Daniel Clarke
Daniel Clarke is a scholar working on Molecular Biology, Soil Science, Economics and Econometrics, Computational Theory and Mathematics and Sociology and Political Science, having authored 71 papers that have together received 3.2k indexed citations. Recurring topics across this work include Agricultural risk and resilience (27 papers), Bioinformatics and Genomic Networks (16 papers), Insurance and Financial Risk Management (13 papers), Gene expression and cancer classification (10 papers), Computational Drug Discovery Methods (8 papers), Biomedical Text Mining and Ontologies (7 papers), Poverty, Education, and Child Welfare (5 papers) and Income, Poverty, and Inequality (5 papers). The work is most often cited by research in Soil Science (540 citations), Cancer Research (370 citations), Molecular Biology (1.4k citations), Safety Research (141 citations) and Immunology (338 citations). Daniel Clarke has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Avi Ma’ayan, John Erol Evangelista, Alexander Lachmann, Zhuorui Xie, Maxim V. Kuleshov, Kathleen M. Jagodnik, Minji Jeon, Eryk Kropiwnicki, Megan L. Wojciechowicz and Sherry L. Jenkins. Their work appears in journals such as Nucleic Acids Research, Current Protocols, Database, BMC Bioinformatics and Patterns.
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.