Jim Piper
Impact in
- Genetics top 1%
- Genomic variations and chromosomal abnormalities
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
Papers in
-
- Gene expression and cancer classification 15
- Genomics and Chromatin Dynamics 6
- Molecular Biology Techniques and Applications 5
- Genetics 22
- Genomic variations and chromosomal abnormalities 16
- Co-authors
- Olli Kallioniemi (4 shared papers)Anne Kallioniemi (3 shared papers)Joe W. Gray (2 shared papers)Dan Pinkel (2 shared papers)Erik Granum (3 shared papers)Jorma Isola (2 shared papers)Fred Waldman (1 shared paper)Denis Rutovitz (13 shared papers)
- Journals
- Cytometry (8 papers)Pattern Recognition Letters (7 papers)Signal Processing (3 papers)Pattern Recognition (2 papers)Trends in Genetics (1 paper)
- Partner nations
- United KingdomUnited StatesFinland
In The Last Decade
Jim Piper
48 papers receiving 2.8k citations
Jim Piper's Hit Papers
Peers
Comparison fields: 5 of 123
- Genetics 1.4k
- Cancer Research 605
- Pathology and Forensic Medicine 394
- Molecular Biology 1.3k
- Oncology 360
Countries citing papers authored by Jim Piper
This map shows the geographic impact of Jim Piper'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 Jim Piper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim Piper more than expected).
Fields of papers citing papers by Jim Piper
This network shows the impact of papers produced by Jim Piper. 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 Jim Piper. The network helps show where Jim Piper may publish in the future.
Co-authors
The 25 scholars most cited alongside Jim Piper, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Optimizing comparative genomic hybridization for analysis of DNA sequence copy number changes in solid tumors Hit paper breakdown → | 1994 | 914 |
| 2 | Detection and mapping of amplified DNA sequences in breast cancer by comparative genomic hybridization. Hit paper breakdown → | 1994 | 659 |
| 3 | 1995 | 231 | |
| 4 | 1989 | 160 | |
| 5 | 1987 | 100 | |
| 6 | 1980 | 87 | |
| 7 | 1994 | 75 | |
| 8 | 1992 | 71 | |
| 9 | 1995 | 66 | |
| 10 | 1989 | 63 | |
| 11 | 1985 | 60 | |
| 12 | 1993 | 43 | |
| 13 | 2003 | 41 | |
| 14 | 1991 | 32 | |
| 15 | 2002 | 31 | |
| 16 | 1987 | 29 | |
| 17 | 1994 | 28 | |
| 18 | 1992 | 28 | |
| 19 | 1985 | 27 | |
| 20 | 1987 | 23 |
About Jim Piper
Jim Piper is a scholar working on Molecular Biology, Genetics, Plant Science, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 53 papers that have together received 3.0k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (16 papers), Gene expression and cancer classification (15 papers), Chromosomal and Genetic Variations (9 papers), Medical Image Segmentation Techniques (6 papers), Algorithms and Data Compression (6 papers), Genomics and Chromatin Dynamics (6 papers), Digital Image Processing Techniques (5 papers) and Molecular Biology Techniques and Applications (5 papers). The work is most often cited by research in Genetics (1.4k citations), Cancer Research (605 citations), Pathology and Forensic Medicine (394 citations), Molecular Biology (1.3k citations) and Oncology (360 citations). Jim Piper has collaborated with scholars based in United Kingdom, United States and Finland. Frequent co-authors include Olli Kallioniemi, Anne Kallioniemi, Joe W. Gray, Dan Pinkel, Erik Granum, Jorma Isola, Fred Waldman, Denis Rutovitz, D. Pinkel and Minna Tanner. Their work appears in journals such as Cytometry, Pattern Recognition Letters, Signal Processing, Pattern Recognition and Trends in 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.