Chris Karlovich
- Molecular Biology top 5%
- Cancer Research top 5%
- Oncology top 10%
- Cellular and Molecular Neuroscience top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Utpal BanerjeeRonald D. RoggeChiranjib DasguptaAndrea DagaKarin DumstreiP. Mickey WilliamsBiswajit DasLi Chen
- Topics
- Cancer Genomics and Diagnostics (23 papers)Lung Cancer Treatments and Mutations (15 papers)Colorectal Cancer Treatments and Studies (7 papers)
- Partner nations
- United StatesFranceAustralia
In The Last Decade
Chris Karlovich
35 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Biology 1.3k
- Cancer Research 527
- Oncology 303
- Cellular and Molecular Neuroscience 273
- Pulmonary and Respiratory Medicine 263
Countries citing papers authored by Chris Karlovich
This map shows the geographic impact of Chris Karlovich'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 Chris Karlovich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Karlovich more than expected).
Fields of papers citing papers by Chris Karlovich
This network shows the impact of papers produced by Chris Karlovich. 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 Chris Karlovich. The network helps show where Chris Karlovich may publish in the future.
Co-authorship network of co-authors of Chris Karlovich
This figure shows the co-authorship network connecting the top 25 collaborators of Chris Karlovich. A scholar is included among the top collaborators of Chris Karlovich 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 Chris Karlovich. Chris Karlovich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 14 | |
| 8 | TPM, FPKM, or Normalized Counts? A Comparative Study of Quantification Measures for the Analysis of RNA-seq Data from the NCI Patient-Derived Models Repositorybreakdown → | 265 |
| 9 | 25 | |
| 10 | 3 | |
| 11 | 36 | |
| 12 | 171 | |
| 13 | 52 | |
| 14 | 208 | |
| 15 | 1 | |
| 16 | 30 | |
| 17 | 5 | |
| 18 | 57 | |
| 19 | 58 | |
| 20 | 176 |
About Chris Karlovich
Chris Karlovich is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Oncology, having authored 40 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (23 papers), Lung Cancer Treatments and Mutations (15 papers) and Colorectal Cancer Treatments and Studies (7 papers). The work is most often cited by research in Cancer Research (527 citations), Molecular Biology (1.3k citations) and Aging (30 citations). Chris Karlovich has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Utpal Banerjee, Ronald D. Rogge, Chiranjib Dasgupta, Andrea Daga, Karin Dumstrei, P. Mickey Williams, Biswajit Das, Li Chen, Yvonne A. Evrard and Yingdong Zhao. Their work appears in journals such as Science, Cell and Journal of Biological Chemistry.
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.