Robert J. Lipshutz
- Molecular Biology top 2%
- Genetics top 1%
- Biomedical Engineering top 10%
- Plant Science top 10%
- Cancer Research top 10%
- Co-authors
- David J. LockhartStephen P. A. FodorT GingerasJian-Bing FanMarc K. HalushkaAravinda ChakravartiNaiping ShenLinda Hsie
- Topics
- Gene expression and cancer classification (7 papers)Advanced biosensing and bioanalysis techniques (5 papers)Genomics and Chromatin Dynamics (4 papers)
- Partner nations
- United StatesGermany
In The Last Decade
Robert J. Lipshutz
13 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Molecular Biology 3.0k
- Genetics 1.2k
- Biomedical Engineering 288
- Plant Science 267
- Cancer Research 228
Countries citing papers authored by Robert J. Lipshutz
This map shows the geographic impact of Robert J. Lipshutz'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 Robert J. Lipshutz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert J. Lipshutz more than expected).
Fields of papers citing papers by Robert J. Lipshutz
This network shows the impact of papers produced by Robert J. Lipshutz. 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 Robert J. Lipshutz. The network helps show where Robert J. Lipshutz may publish in the future.
Co-authorship network of co-authors of Robert J. Lipshutz
This figure shows the co-authorship network connecting the top 25 collaborators of Robert J. Lipshutz. A scholar is included among the top collaborators of Robert J. Lipshutz 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 Robert J. Lipshutz. Robert J. Lipshutz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 33 | |
| 4 | 231 | |
| 5 | 6 | |
| 6 | Patterns of single-nucleotide polymorphisms in candidate genes for blood-pressure homeostasisbreakdown → | 798 |
| 7 | High density synthetic oligonucleotide arraysbreakdown → | 1618 |
| 8 | Characterization of single-nucleotide polymorphisms in coding regions of human genesbreakdown → | 1266 |
| 9 | 196 | |
| 10 | 73 | |
| 11 | 31 | |
| 12 | 12 | |
| 13 | 14 | |
| 14 | 30 |
About Robert J. Lipshutz
Robert J. Lipshutz is a scholar working on Molecular Biology, Ecology and Genetics, having authored 14 papers that have together received 4.3k indexed citations. Recurring topics across this work include Gene expression and cancer classification (7 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Genomics and Chromatin Dynamics (4 papers). The work is most often cited by research in Molecular Biology (3.0k citations), Genetics (1.2k citations) and Cancer Research (228 citations). Robert J. Lipshutz has collaborated with scholars based in United States and Germany. Frequent co-authors include David J. Lockhart, Stephen P. A. Fodor, T Gingeras, Jian-Bing Fan, Marc K. Halushka, Aravinda Chakravarti, Naiping Shen, Linda Hsie, Alan B. Weder and David Altshuler. Their work appears in journals such as Nature Genetics, PLoS ONE and Genome Research.
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.