David J. Sukovich
- Molecular Biology
- Biomedical Engineering
- Immunology
- Electrical and Electronic Engineering
- Epidemiology
- Co-authors
- Adam R. AbateDavid N. CornfieldLawrence P. WackettJennifer L. SeffernickSamuel KimJack E. RichmanJeffrey A. GralnickValarie McCullar
- Topics
- Microbial Metabolic Engineering and Bioproduction (4 papers)RNA and protein synthesis mechanisms (4 papers)Innovative Microfluidic and Catalytic Techniques Innovation (3 papers)
- Partner nations
- United StatesRussiaAustria
In The Last Decade
David J. Sukovich
22 papers receiving 668 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Molecular Biology 384
- Biomedical Engineering 198
- Immunology 105
- Electrical and Electronic Engineering 64
- Epidemiology 58
Countries citing papers authored by David J. Sukovich
This map shows the geographic impact of David J. Sukovich'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 David J. Sukovich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Sukovich more than expected).
Fields of papers citing papers by David J. Sukovich
This network shows the impact of papers produced by David J. Sukovich. 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 David J. Sukovich. The network helps show where David J. Sukovich may publish in the future.
Co-authorship network of co-authors of David J. Sukovich
This figure shows the co-authorship network connecting the top 25 collaborators of David J. Sukovich. A scholar is included among the top collaborators of David J. Sukovich 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 David J. Sukovich. David J. Sukovich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | High-definition spatial transcriptomic profiling of immune cell populations in colorectal cancerbreakdown → | 27 |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 26 | |
| 5 | 42 | |
| 6 | 22 | |
| 7 | 15 | |
| 8 | 5 | |
| 9 | 13 | |
| 10 | 5 | |
| 11 | 62 | |
| 12 | 11 | |
| 13 | 56 | |
| 14 | 79 | |
| 15 | 37 | |
| 16 | 92 | |
| 17 | 18 | |
| 18 | 9 | |
| 19 | 15 | |
| 20 | 27 |
About David J. Sukovich
David J. Sukovich is a scholar working on Endocrinology, Molecular Biology and Endocrine and Autonomic Systems, having authored 22 papers that have together received 679 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (4 papers), RNA and protein synthesis mechanisms (4 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (3 papers). The work is most often cited by research in Molecular Biology (384 citations), Immunology (105 citations) and Biomedical Engineering (198 citations). David J. Sukovich has collaborated with scholars based in United States, Russia and Austria. Frequent co-authors include Adam R. Abate, David N. Cornfield, Lawrence P. Wackett, Jennifer L. Seffernick, Samuel Kim, Jack E. Richman, Jeffrey A. Gralnick, Valarie McCullar, Jeffrey S. Miller and Alisa B. Lee‐Sherick. Their work appears in journals such as Nature Communications, Nature Genetics and Blood.
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.