Matthew Stefanovski

1.1k citations
5 papers · 243 indexed · h-index 4
Topics
Monoclonal and Polyclonal Antibodies Research (3 papers)Chronic Lymphocytic Leukemia Research (3 papers)RNA Interference and Gene Delivery (1 paper)
Partner nations
United StatesItaly

In The Last Decade

Matthew Stefanovski

5 papers receiving 241 citations

Peers

Matthew Stefanovski
Comparison fields: 5 of 46
  • Genetics 147
  • Pathology and Forensic Medicine 104
  • Immunology 89
  • Molecular Biology 88
  • Hematology 55
Replace Thomas Mehrling with:
Thomas Mehrling United Kingdom
Gabriele Prinz Germany
Agata Majchrzak Poland
Jeffrey C. Xing United States
Dejan Radeski Australia
Anna Ma United States
Marion Refici United States
Jeroen Lammerts van Bueren Netherlands
Marcus Lefebure United States
Tatjana Pandzic Sweden
Matthew Stefanovski relative to Thomas Mehrling United Kingdom Thomas Mehrling's profile →
Citations per field
00.5×2.7×
Thomas Mehrling · 1×
Citations per year

Countries citing papers authored by Matthew Stefanovski

Since Specialization
Citations

This map shows the geographic impact of Matthew Stefanovski'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 Matthew Stefanovski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Stefanovski more than expected).

Fields of papers citing papers by Matthew Stefanovski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Stefanovski. 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 Matthew Stefanovski. The network helps show where Matthew Stefanovski may publish in the future.

Co-authorship network of co-authors of Matthew Stefanovski

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Stefanovski. A scholar is included among the top collaborators of Matthew Stefanovski 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 Matthew Stefanovski. Matthew Stefanovski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
#WorkIndexed citations
1 29
2 156
3 26
4 29
5 3

About Matthew Stefanovski

Matthew Stefanovski is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 5 papers that have together received 243 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Genetics (147 citations), Pathology and Forensic Medicine (104 citations) and Hematology (55 citations). Matthew Stefanovski has collaborated with scholars based in United States and Italy. Frequent co-authors include John C. Byrd, William H. Towns, Stefania Gobessi, Jennifer A. Woyach, Jason A. Dubovsky, Melanie E. Davis, Betty Chang, Bonnie K. Harrington, Amy J. Johnson and Joseph J. Buggy. Their work appears in journals such as Blood, Clinical Cancer Research and Leukemia.

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.

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