Eugene Maraskovsky

21.4k citations
127 papers · 16.4k indexed · 8 hit papers · h-index 61

Eugene Maraskovsky

123 papers receiving 16.0k citations

Hit Papers

Mice lacking flt3 ligand have deficient hematopoiesis aff...686199320262004201550010001.5k

Peers

Eugene Maraskovsky
Comparison fields: 5 of 133
  • Immunology 11.7k
  • Hematology 1.6k
  • Oncology 3.9k
  • Immunology and Allergy 445
  • Molecular Biology 5.0k
Replace Terrill K. McClanahan with:
Terrill K. McClanahan United States
David J. Rawlings United States
Falk Nimmerjahn Germany
Marc A. Gavin United States
Maria Cristina Mingari Italy
Cox Terhorst United States
Adrian Hayday United Kingdom
Dirk Anderson United States
Ifor R. Williams United States
Harvey Cantor United States
Eugene Maraskovsky relative to Terrill K. McClanahan United States Terrill K. McClanahan's profile →
Citations per field
00.5×1.5×
Terrill K. McClanahan · 1×
Citations per year

Countries citing papers authored by Eugene Maraskovsky

Since Specialization
Citations

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

Fields of papers citing papers by Eugene Maraskovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Eugene Maraskovsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eugene Maraskovsky Line = papers co-authored together Eugene Maraskovsky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201932
2 20189
3 201714
4 201532
5 201421
6 200982
7 20099
8 200657
9 200625
10 2003150
11 200294
12 200271
13 200148
14
Dendritic cells directly trigger NK cell functions: Cross-talk relevant in innate anti-tumor immune responses in vivobreakdown →
1999857
15 199893
16 199858
17 1997258
18 199757
19
Dramatic increase in the numbers of functionally mature dendritic cells in Flt3 ligand-treated mice: multiple dendritic cell subpopulations identified.breakdown →
1996934
20
Fas transduces activation signals in normal human T lymphocytes.breakdown →
1993460

About Eugene Maraskovsky

Eugene Maraskovsky is a scholar working on Immunology, Hematology and Radiology, Nuclear Medicine and Imaging, having authored 127 papers that have together received 16.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (86 papers), T-cell and B-cell Immunology (57 papers), Immune Cell Function and Interaction (44 papers), vaccines and immunoinformatics approaches (23 papers), Monoclonal and Polyclonal Antibodies Research (22 papers), Immune Response and Inflammation (21 papers), RNA Interference and Gene Delivery (11 papers) and CAR-T cell therapy research (10 papers). The work is most often cited by research in Immunology (11.7k citations), Hematology (1.6k citations) and Oncology (3.9k citations). Eugene Maraskovsky has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Mark Teepe, Eileen R. Roux, Ken Shortman, Kenneth Brasel, Bali Pulendran, Jacques J. Peschon, Jonathan Cebon, David Cosman, Jeffrey L. Smith and Stewart D. Lyman. Their work appears in journals such as Blood, The Journal of Immunology, The Journal of Experimental Medicine, Vaccine and Immunology Letters.

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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