Steven M. Clark
- Molecular Biology top 5%
- Genetics top 1%
- Plant Science top 5%
- Cancer Research top 5%
- Biomedical Engineering top 10%
- Co-authors
- Colin C. CollinsRichard SegravesShanaz H. DairkeeJoe W. GrayDavid KowbelWen-Lin KuoDamir SudarBritt‐Marie Ljung
- Topics
- Microfluidic and Capillary Electrophoresis Applications (10 papers)Scientific Computing and Data Management (8 papers)Distributed and Parallel Computing Systems (6 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Steven M. Clark
38 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Molecular Biology 1.3k
- Genetics 1.2k
- Plant Science 481
- Cancer Research 425
- Biomedical Engineering 387
Countries citing papers authored by Steven M. Clark
This map shows the geographic impact of Steven M. Clark'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 Steven M. Clark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven M. Clark more than expected).
Fields of papers citing papers by Steven M. Clark
This network shows the impact of papers produced by Steven M. Clark. 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 Steven M. Clark. The network helps show where Steven M. Clark may publish in the future.
Co-authorship network of co-authors of Steven M. Clark
This figure shows the co-authorship network connecting the top 25 collaborators of Steven M. Clark. A scholar is included among the top collaborators of Steven M. Clark based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Steven M. Clark. Steven M. Clark is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 18 | |
| 6 | 6 | |
| 7 | High resolution analysis of DNA copy number variation using comparative genomic hybridization to microarraysbreakdown → | 1617 |
| 8 | 12 | |
| 9 | 34 | |
| 10 | 0 | |
| 11 | 86 | |
| 12 | 2 | |
| 13 | 111 | |
| 14 | 2 | |
| 15 | 53 | |
| 16 | 69 | |
| 17 | 23 | |
| 18 | 19 | |
| 19 | 100 | |
| 20 | 38 |
About Steven M. Clark
Steven M. Clark is a scholar working on Information Systems and Management, Biomedical Engineering and Computer Networks and Communications, having authored 39 papers that have together received 2.8k indexed citations. Recurring topics across this work include Microfluidic and Capillary Electrophoresis Applications (10 papers), Scientific Computing and Data Management (8 papers) and Distributed and Parallel Computing Systems (6 papers). The work is most often cited by research in Genetics (1.2k citations), Cancer Research (425 citations) and Molecular Biology (1.3k citations). Steven M. Clark has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Colin C. Collins, Richard Segraves, Shanaz H. Dairkee, Joe W. Gray, David Kowbel, Wen-Lin Kuo, Damir Sudar, Britt‐Marie Ljung, Ian Poole and Richard A. Mathies. Their work appears in journals such as Science, Nucleic Acids Research and Nature Genetics.
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.